Instruction: API returns 500 errors. Scenario 325: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 325: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Integrate local LLMs. Scenario 326: Provide a practical implementation plan.

Output: Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Integrate local LLMs. Scenario 326: Provide a practical implementation plan.

### Input:

### Response:
Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 327: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 327: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 328: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 328: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 329: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 329: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 330: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 330: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 331: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 331: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 332: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 332: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 333: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 333: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 334: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 334: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 335: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 335: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 336: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 336: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 337: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 337: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 338: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 338: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Integrate local LLMs. Scenario 339: Provide a practical implementation plan.

Output: Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Integrate local LLMs. Scenario 339: Provide a practical implementation plan.

### Input:

### Response:
Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 340: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 340: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Integrate local LLMs. Scenario 341: Provide a practical implementation plan.

Output: Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Integrate local LLMs. Scenario 341: Provide a practical implementation plan.

### Input:

### Response:
Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 342: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 342: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 343: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 343: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 344: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 344: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 345: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 345: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 346: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 346: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 347: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 347: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 348: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 348: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 349: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 349: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 350: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 350: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 351: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 351: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 352: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 352: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 353: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 353: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Integrate local LLMs. Scenario 354: Provide a practical implementation plan.

Output: Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Integrate local LLMs. Scenario 354: Provide a practical implementation plan.

### Input:

### Response:
Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 355: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 355: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 356: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 356: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 357: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 357: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 358: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 358: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 359: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 359: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 360: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 360: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 361: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 361: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 362: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 362: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 363: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 363: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 364: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 364: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 365: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 365: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 366: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 366: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 367: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 367: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 368: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 368: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 369: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 369: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 370: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 370: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 371: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 371: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 372: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 372: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 373: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 373: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 374: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 374: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Integrate local LLMs. Scenario 375: Provide a practical implementation plan.

Output: Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Integrate local LLMs. Scenario 375: Provide a practical implementation plan.

### Input:

### Response:
Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 376: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 376: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 377: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 377: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 378: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 378: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 379: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 379: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 380: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 380: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 381: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 381: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 382: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 382: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 383: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 383: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 384: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 384: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 385: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 385: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 386: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 386: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 387: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 387: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 388: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 388: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 389: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 389: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 390: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 390: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 391: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 391: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 392: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 392: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 393: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 393: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 394: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 394: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 395: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 395: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 396: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 396: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 397: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 397: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 398: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 398: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 399: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 399: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 400: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 400: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 401: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 401: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 402: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 402: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 403: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 403: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 404: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 404: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 405: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 405: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 406: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 406: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 407: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 407: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 408: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 408: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Integrate local LLMs. Scenario 409: Provide a practical implementation plan.

Output: Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Integrate local LLMs. Scenario 409: Provide a practical implementation plan.

### Input:

### Response:
Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 410: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 410: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 411: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 411: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 412: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 412: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 413: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 413: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 414: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 414: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 415: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 415: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 416: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 416: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 417: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 417: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 418: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 418: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 419: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 419: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 420: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 420: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 421: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 421: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 422: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 422: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 423: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 423: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Integrate local LLMs. Scenario 424: Provide a practical implementation plan.

Output: Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Integrate local LLMs. Scenario 424: Provide a practical implementation plan.

### Input:

### Response:
Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 425: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 425: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 426: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 426: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 427: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 427: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 428: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 428: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 429: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 429: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 430: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 430: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 431: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 431: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 432: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 432: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 433: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 433: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 434: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 434: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 435: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 435: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 436: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 436: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 437: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 437: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 438: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 438: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 439: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 439: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 440: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 440: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 441: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 441: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 442: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 442: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 443: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 443: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 444: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 444: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 445: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 445: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 446: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 446: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 447: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 447: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 448: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 448: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 449: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 449: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 450: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 450: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 451: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 451: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 452: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 452: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 453: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 453: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 454: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 454: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 455: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 455: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 456: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 456: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 457: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 457: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 458: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 458: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 459: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 459: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 460: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 460: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 461: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 461: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 462: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 462: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 463: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 463: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 464: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 464: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 465: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 465: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Integrate local LLMs. Scenario 466: Provide a practical implementation plan.

Output: Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Integrate local LLMs. Scenario 466: Provide a practical implementation plan.

### Input:

### Response:
Use Ollama or llama.cpp, manage context windows, and optimize inference performance. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 467: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 467: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 468: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 468: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 469: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 469: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 470: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 470: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: API returns 500 errors. Scenario 471: Provide a practical implementation plan.

Output: Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
API returns 500 errors. Scenario 471: Provide a practical implementation plan.

### Input:

### Response:
Check logs, validate inputs, inspect database connectivity, and improve exception handling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 472: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 472: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 473: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 473: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a chatbot platform. Scenario 474: Provide a practical implementation plan.

Output: Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a chatbot platform. Scenario 474: Provide a practical implementation plan.

### Input:

### Response:
Use message queues, vector search, session storage, analytics, and model serving infrastructure. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 475: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 475: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: React app re-renders infinitely. Scenario 476: Provide a practical implementation plan.

Output: Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
React app re-renders infinitely. Scenario 476: Provide a practical implementation plan.

### Input:

### Response:
Inspect state updates, useEffect dependencies, memoization, and component hierarchy. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 477: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 477: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 478: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 478: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy an AI application. Scenario 479: Provide a practical implementation plan.

Output: Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy an AI application. Scenario 479: Provide a practical implementation plan.

### Input:

### Response:
Containerize services, configure GPUs if needed, add logging, metrics, and autoscaling. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 480: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 480: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Add AI chat to an app. Scenario 481: Provide a practical implementation plan.

Output: Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Add AI chat to an app. Scenario 481: Provide a practical implementation plan.

### Input:

### Response:
Implement conversation memory, prompt templates, model routing, and streaming responses. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Deploy a MERN application. Scenario 482: Provide a practical implementation plan.

Output: Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Deploy a MERN application. Scenario 482: Provide a practical implementation plan.

### Input:

### Response:
Host frontend separately, deploy backend services, configure databases, secrets, monitoring, and backups. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Design a scalable SaaS. Scenario 483: Provide a practical implementation plan.

Output: Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Design a scalable SaaS. Scenario 483: Provide a practical implementation plan.

### Input:

### Response:
Use microservices, API gateway, PostgreSQL, Redis, monitoring, CI/CD, and container orchestration. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 484: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 484: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Create a coding assistant. Scenario 485: Provide a practical implementation plan.

Output: Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Create a coding assistant. Scenario 485: Provide a practical implementation plan.

### Input:

### Response:
Use Electron, Monaco Editor, local LLM integration, chat memory, and project indexing. Include milestones, technology choices, risks, testing strategy, and scaling considerations.


Instruction: Build an AI project manager. Scenario 486: Provide a practical implementation plan.

Output: Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.

Prompt:
### Instruction:
Build an AI project manager. Scenario 486: Provide a practical implementation plan.

### Input:

### Response:
Create a full-stack application with planning, task tracking, AI suggestions, analytics, and collaboration tools. Include milestones, technology choices, risks, testing strategy, and scaling considerations.