Improve the process
Try clarifying responsibility and following up before commissioning software.
You don't need a feature list, a tech stack or even a clear product idea. Start with an idea, an app you admire, or an actual work problem. Compare what might solve it and keep important assumptions visible.
An interactive planning guide — not a live AI interviewer. Suggestions use visible rules based on your answers and selected signals. They are hypotheses, not proof. The worksheet and ZIP are local by default. If an optional AI question service is configured, it only receives your current record after explicit consent and verification. Your page draft otherwise remains in memory; saving on this device is optional.
How human-led AI builds work ↗Turn a messy question or product idea into a clearer prompt for your own AI tool. This is a local, rule-based draft—not AI reasoning, a validated requirement, or a one-shot application builder.
No text is uploaded or saved by this refiner. Avoid entering passwords, customer records or proprietary source material.
Quick Refine supplies a transparent instruction scaffold. Guided discovery below asks the hard questions. The handoff transfers your original words, not assumptions introduced by the scaffold. Neither workflow claims to have built or tested software.
Fictional reference idea loaded. It is recorded as THINK / HYPOTHESIS, not a verified requirement. Edit it freely, then clarify the people, present workflow and open questions. No application is generated here.
Describe the frustrating situation in your own words. No software jargon needed.
We need the problem before we can compare solutions.
Choose what seems true about the work. We'll compare three possible directions. These are rule-based starting points, not an AI recommendation or market validation.
Try clarifying responsibility and following up before commissioning software.
Connect repeatable steps and test the error path.
Use software when people genuinely need shared state or permissions.
If no new software is needed, you can still export a process and validation brief.
The AI reads the current draft and proposes the next consequential question. It cannot approve a solution, edit your decisions or execute code. You decide whether to answer.
Export a single Markdown solution brief, or continue below to generate a complete agent-ready project workspace ZIP. Neither output is generated application code.
Turn the discovery record into a project folder with operating instructions, decisions, working plans, contracts and evidence gates—without another account or a model API key.
This is not completed architecture, generated application code, or production evidence. A process-only solution gets an experiment pack, not a fictional coding project.
First describe a real problem.
A generated file does not mean a solution is tested.
Select a discovery answer to prepare the project record.
These files are a portable handoff, not a running app.
When software truly makes sense, the next challenge is directing coding agents through contracts, bounded implementation, tests and safe delivery.