Given the following messy notes: {notes}, produce a clear coding deliverable in {language} that includes: 1) a concise problem statement, 2) functional requirements, 3) non-functional requirements, 4) high-level architecture diagram description, 5) pseudocode or algorithm steps, 6) suggested file/folder structure, 7) test cases outline, and 8) next steps for implementation. Format the output as {output_format}.
Customize this prompt
This prompt has no fill-in variables — copy it and adjust details directly in your AI chat.
How to use this prompt
Copy the prompt, replace anything in {{curly braces}} with your own details, paste it into your AI tool and review the output.
Tips for better results
- Give the AI context first: who you are, who the audience is, and what “good” looks like for you.
- Ask for output in a specific format (bullets, table, markdown) when you need structure.
- If the result is close but not perfect, reply with “keep the structure, make it more…” — do not start over.
- For long tasks, split the prompt into steps instead of expecting one giant answer.
- Different tools behave differently — ChatGPT, Claude and Gemini each have their own style. Try this prompt on the tool you use most.
How to use this AI prompt effectively
What this prompt does
A reusable prompt that transforms disorganized meeting notes, brainstorming scribbles, or rough ideas into a structured coding deliverable with clear requirements, pseudocode, and next steps.
Getting the most out of it
- Copy the prompt and paste it into your AI tool of choice (ChatGPT, Claude or Gemini).
- Fill the variables in curly brackets with your own topic, audience and tone — the customize button above builds a ready version for you.
- Review the first draft for facts and style before using it. AI output is a starting point, not a final product.
- Iterate: tell the AI what to keep and what to change. Small corrections beat re-typing the whole prompt.
Common mistakes to avoid
- Leaving the {{variables}} unfilled — the AI then guesses your topic.
- Expecting one output to be perfect — plan for 2–3 rounds of refinement.
- Pasting confidential information into public AI tools.