project-briefing-interview

A project briefing for AI uses structured interviews and tiered discovery to gather requirements, producing a master prompt that provides coding LLMs with full context, objectives, and implementation guidelines.

Scoping a new SaaS product with an LLM uses tiered discovery to calibrate interview depth from zero questions to a 10-stage product discovery based on risk, preventing excessive questioning while ensuring accuracy.

Tiered discovery customizes product discovery interview depth based on project risk and complexity, scaling from a trivial fix requiring zero questions to a new SaaS product needing a full 10-stage discovery process.

Yes, you can estimate project difficulty and recommend AI model tiers using an effort and model gate, which balances required effort and accuracy before generating the final coding prompt.

A master prompt for coding LLMs is a structured output containing project context, objectives, and implementation guidelines. You generate one by completing a structured project briefing interview that synthesizes your requirements.

You should not use a full 10-stage product discovery for trivial fixes or low-risk projects, as tiered discovery scales down the interview process to avoid unnecessary data extraction and minimize discovery efforts.