IT & Software

Provide thorough context

Get Precise, High-Quality Outputs from ChatGPT by Providing Thorough Context

What This Prompt Does

- Equips ChatGPT with the background information it needs to generate relevant, useful, and tailored responses.
- Reduces ambiguity and misinterpretation by narrowing the problem scope to your exact setup or need.
- Improves accuracy in code, explanations, and troubleshooting help by aligning AI output with your environment and constraints.
- Minimizes the need for back-and-forth clarification, saving time and cognitive effort.

Tips

Specify your tech stack. Clearly state what language, framework, or tool you’re using — e.g., “I'm using Vue 3 with TypeScript” or “This is for a Node.js backend using Express.”
Mention what you've already tried. Include previous attempts, code snippets, or solutions that didn’t work — this helps ChatGPT avoid repeating them.
Describe the context of your problem. Is it for production, learning, testing, or integration with a third-party API? Context informs tone and complexity.
Add relevant constraints. Time limits, performance requirements, coding style guides, accessibility needs, or team standards can help tailor the solution.
Provide expected output or goals. Include what success looks like — “It should return JSON with status codes,” or “The layout should be mobile-first.”

Prompt

I'm working on [PROJECT TYPE] using [LANGUAGE/FRAMEWORK/TOOL]. I’ve tried [ATTEMPTED SOLUTIONS OR CODE SNIPPETS], but I’m facing [SPECIFIC ISSUE]. The function should [EXPECTED BEHAVIOR], and it needs to comply with [CONSTRAINTS]. Can you help me troubleshoot or improve it?

How To Use The Prompt

Precede your main query with a clear description of the project environment, tools involved, previous approaches, and any specific output expectations.

Prompt Template:

Example Input

I'm building a REST API using Python and Flask. I’ve created an endpoint to upload images, but it throws a 500 error when the file size is too large. Here’s the code I’ve used [insert snippet]. I need the API to reject files over 5MB gracefully with a 413 status. Can you help me fix it and improve error handling?

Example Output

from flask import Flask, request, jsonify

from werkzeug.exceptions import RequestEntityTooLarge

app = Flask(__name__)

app.config['MAX_CONTENT_LENGTH'] = 5 * 1024 * 1024 # 5 MB limit

@app.errorhandler(RequestEntityTooLarge)

def handle_file_too_large(e):

return jsonify(error="File too large"), 413

@app.route('/upload', methods=['POST'])

def upload_file():

file = request.files['file']

# Further processing here...

return jsonify(message="File uploaded successfully")

Additional Information

Providing detailed context is one of the core skills of expert prompt engineers. It's what turns a vague query into a laser-focused problem ChatGPT can actually solve. Whether you’re:

Writing code
Debugging errors
Designing UIs
Planning content
Creating workflows
— context acts like a blueprint that the AI builds around.

This prompt strategy is critical for developers, product teams, copywriters, analysts, and anyone collaborating with AI in complex environments. It trains you to think clearly and communicate thoroughly, turning ChatGPT into a precision tool — not just a general assistant.

In conclusion, don't hold back important details. The more clearly you define the what, why, and how, the more powerful, relevant, and useful the output becomes.

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