Writing App & Project Proposals with AI [Standalone Guide]
Turn rough ideas into polished roadmaps using Claude or ChatGPT
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You’ve got an idea bouncing around in your head. Maybe it’s an app, a project, a new feature. But turning that idea into something actionable? That’s where most people get stuck.
Here’s my workflow for turning rough concepts into formal proposals. AI makes the whole process faster.
The Core Idea
I don’t write proposals from scratch. I draft the pieces, then let AI ask the right questions and assemble it into something polished.
The workflow:
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I put together my rough ideas using a template
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Ask the AI to read it and ask any needed questions
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Once all questions are answered, AI generates a formal proposal
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I use that as directions (basically a roadmap) for the project
This approach forces you to think through the important stuff without getting bogged down in formatting or wordsmithing.
My Process (Step by Step)
1. Start with the “Why”
Before writing anything, I ask: What problem does this solve? That becomes the foundation for the Overview section. Keep it to 2-3 sentences max.
2. Define the Scope
What platforms? What audience? This prevents scope creep later and sets expectations upfront.
3. List Features (Not Tasks)
Focus on what the user gets, not implementation details. Each feature should be a clear benefit. I usually aim for 4-6 core features.
4. Visualize the Experience
Describe the UI/UX conceptually: color scheme, layout, interactions. This helps stakeholders (or yourself) picture the end product without needing mockups yet.
Optional: Sketch It Out First
Before handing your notes to AI, it can help to rough out the UI visually. You don’t need design skills. Just boxes and labels showing where things go.
Free wireframing tools that work on any platform (Mac, Windows, Linux):
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Penpot - Open-source, 100% free, no limits
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Figma - Industry standard, generous free tier
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Wireframe.cc - No signup, instant sketching
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Canva Wireframes - Simple drag-and-drop
A quick wireframe gives AI better context and gives you something concrete to reference when answering its questions.
5. Add Practical Use Cases
Give 2-3 real-world scenarios. This grounds the proposal and makes it tangible.
6. Address Technical/Compliance Concerns
If security, privacy, or regulations matter, spell them out. This builds credibility and covers your bases.
7. Note Development Considerations
What are the gotchas? What needs attention during implementation? This shows you’ve thought it through.
8. Conclude with Purpose
Tie it back to the “why.” Reinforce the value proposition in 2-3 sentences.
The Template
Copy this, fill it out with rough notes, then hand it to AI:
[Project Name] Proposal
Overview:
[1-3 sentences: What is it? What problem does it solve? Who is it for?]
Platform/Scope:
- [Platform 1]
- [Platform 2]
Key Features:
1. [Feature Name]: [Brief description of benefit]
2. [Feature Name]: [Brief description of benefit]
3. [Feature Name]: [Brief description of benefit]
User Interface Design:
- Color Scheme: [Description]
- Layout: [Description]
- Interactions: [Description]
Settings and Options:
- [Setting category and options]
Use Cases:
1. [Use Case Title]: [Scenario description]
2. [Use Case Title]: [Scenario description]
Technical/Compliance Considerations:
- [Security, privacy, regulations, standards]
Development Considerations:
- [Implementation notes, risks, audits]
Conclusion:
[2-3 sentences: Reiterate value, tie back to purpose]
Handing It to AI
Once your template is filled out (even roughly), here’s what I tell the AI:
“Here’s a rough proposal for a project I’m working on. Please read through it and ask me any clarifying questions before generating a formal version.”
Why this works:
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AI spots gaps you missed
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Questions force you to clarify your thinking
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The back-and-forth improves the final output
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You end up with a document that actually makes sense to others
After answering all questions, ask AI to generate the formal proposal. Then you’ve got your roadmap.
Why This Matters
A good proposal isn’t just documentation. It’s a thinking tool.
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Forces clarity before you start coding
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Catches scope creep early
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Gives you a checklist to work against
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Makes communication easier if others join the project
Even for solo projects, having a proposal keeps you focused when you inevitably get distracted by shiny new features.
TL;DR
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Don’t write proposals from scratch. Use a template
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Fill in the sections with rough ideas. Doesn’t need to be polished.
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Hand it to Claude or ChatGPT. Let the AI ask clarifying questions.
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Answer the questions. Then ask AI to generate the formal proposal.
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Use the result as your roadmap for building the project
Your Turn
Do you write proposals before starting projects?
What’s your process for going from idea to execution?
Have you tried using AI to help structure your thinking?
Drop a comment below!