Jidé Tidjani-Serpos / AI-native product builder
From producthypothesisto production.
I frame the problem, direct the system and remain accountable for what ships. AI compresses the work between those decisions.
Strategy × design × engineering × agents
Implementation is abundant. Coherent decisions are scarce.
The advantage is moving toward people who can define what matters, establish the architecture, coach capable systems, inspect the result and change course without protecting the original idea.
Four products are evidence of a practice still being tested — not proof of a universal method.
Speed comes from concurrency. Rigor comes from gates.
AI does not remove the product loop. It lets implementation missions run together, while human direction, validation and observable production evidence keep the work coherent.
- 01FrameHuman direction
- 02BuildWork enters + re-enters
- 03VerifyCheck, accept or redirect
- 04ReleaseWorking evidence
02 / Experiments
Four products. One evolving production model.
Each product tests a different boundary between intent, implementation speed and external reality.
04 / Background
The intersection is the point.
Fifteen-plus years in product and UX design formed the judgment. Full-stack building and agent orchestration changed the radius of action.
The work now runs continuously from premise to production behavior: strategy informs architecture, design survives implementation, and evidence can change the original decision.