The problem
Market size, competitors, customer pain, pricing, and channels need different questions but must eventually inform one coherent brief.
My contribution
- Led the research workflow and product handoff requirements.
- Used AI-assisted implementation and reviewed progress, partial results, and export behavior.
Working approach: product-led, AI-assisted implementation, followed by review and iteration.
Decisions & tradeoffs
01
Separate research from synthesis
- The choice
- Run specialist research in parallel and synthesize the resulting findings afterward.
- The tradeoff
- Specialist outputs can disagree or fail; synthesis must preserve uncertainty instead of hiding it.
- How it is checked
- The repository documents the agent roles, progress events, exports, and partial-failure behavior.
What the work shows
The public project demonstrates specialist report sections and a structured LaunchLens brief export, with source and confidence fields visible to the reader.
Follow the evidence
What this does not establish
- Fixed demo outputs, provider-backed research, and durable Deep execution have different operating requirements.
- An online page or a completed stream alone does not verify research accuracy or current Deep recovery readiness.