Idea Workbench
AI Brainstorming and App Idea Planning
Use AI brainstorming to organize a rough app idea, validate a focused MVP, and turn your decisions into a product brief for an AI development agent.
From a Rough Idea to an MVP Plan
Idea Workbench helps turn rough app, product, or AI-tool ideas into product briefs for Codex, Claude Code, ChatGPT, and other development agents.
Who it is for
Indie developers, business improvement teams, app planners, and anyone who wants to shape a rough idea before implementation.
The problem it solves
It helps clarify MVP scope, features, risks, implementation order, and what should stay out of the first version.
The 7-Step Flow
Each step asks for a small decision while AI handles structure, comparison, and summarization.
1. Idea Input
- What you do
- Write the app or service idea while it is still rough.
- What AI does
- AI reads the idea and prepares it for evaluation without rushing to a final answer.
- What you get next
- You move to AI evaluation to check feasibility and MVP fit.
2. AI Evaluation
- What you do
- Check whether the direction is worth pursuing.
- What AI does
- AI organizes feasibility, target users, MVP fit, differentiation, and concerns.
- What you get next
- You can continue, see another angle, or stop for now.
3. AI Brainstorm
- What you do
- Expand the idea and reduce blind spots.
- What AI does
- AI suggests implementation issues, derivative ideas, and small/medium/large scopes.
- What you get next
- You choose the perspectives that should shape the solution proposals.
4. Solution Proposals
- What you do
- Choose the first direction from several possible approaches.
- What AI does
- AI compares options by cost, speed, quality, scalability, and risk.
- What you get next
- The selected direction becomes the basis for requirements and risks.
5. Checklist
- What you do
- Clarify requirements, risks, and items to defer before implementation.
- What AI does
- AI separates must-have, recommended, and optional items.
- What you get next
- You move to final review and decide what to accept, revise, or defer.
6. Final Review
- What you do
- Set the final scope that should go into the Markdown brief.
- What AI does
- AI gathers the decisions made so far into material for the final brief.
- What you get next
- You select the target AI and generate the Markdown.
7. Markdown Output
- What you do
- Generate a build-ready brief for an AI development agent.
- What AI does
- AI adjusts structure and detail for Codex, Claude Code, or ChatGPT.
- What you get next
- You can copy or download the Markdown and hand it to another AI.
The Final Output
The final Markdown can include MVP scope, screens, user flow, requirements, data model, implementation order, and out-of-scope items. It is designed to become a practical starting point for AI-assisted implementation.