Jidé Tidjani-Serpos /
AI-native product builder

Fromhypothesisto 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

00 / Position

Implementation is abundant. Coherent decisions are scarce.

Define what matters. Design the system. Inspect what ships. Then let real use change the next decision.

Ship → Observe → Learn → Reframe

01 / Products

Five products. One evolving practice.

Five products in production. Five themes. Implementation is no longer the constraint: each experiment answers a question about building in the age of AI.

02 / Delivery dynamics

Speed comes from concurrency. Rigor comes from gates.

AI lets independent work run together. Human direction, validation and production feedback keep it coherent.

4 concurrent missions 3 accountability gates Compressed cycle

Four independent missions branch during building, then converge for verification and release. A return path sends work from verification back to building when it needs revision.

  1. 01FrameHuman direction
  2. 02BuildWork enters + re-enters
  3. 03VerifyCheck, accept or redirect
  4. 04ReleaseWorking evidence
Moving implementation Human reframe sends work back

03 / Operating model

A working practice, not a universal method.

Nine steps, revised by what the work teaches me.

  1. 01

    Frame

    Define what needs to be learned.

  2. 02

    Reduce

    Build the smallest useful test.

  3. 03

    Architect

    Set the structure before generating code.

  4. 04

    Decompose

    Define tasks and their dependencies.

  5. 05

    Parallelize

    Run independent work with agents.

  6. 06

    Integrate

    Connect and check small, complete features.

  7. 07

    Deploy

    Ship to keep learning.

  8. 08

    Observe

    Let use, errors and feedback challenge assumptions.

  9. 09

    Reframe

    Preserve, modify or kill the hypothesis.

04 / In public

This portfolio runs the same loop.

On September 30, 2026, I presented this work at a Friends of Figma Montréal evening — the question this portfolio opens with was on the screen behind me. Public presentation exposes the work to professional critique, and the critique feeds the next redesign.

Jidé Tidjani-Serpos speaking into a microphone beside a projected slide asking, in French, how fast a product can be built.
present → critique → interpret → redesign

Friends of Figma Montréal, September 30, 2026 — The portfolio in the age of AI.

05 / Thoughts

The AI ready company

What remains of a company when intelligence, execution and coordination become abundant?

The portfolio shows how I build. This essay is what I think these changes may mean beyond my own work.

Read the essay

06 / Background

The intersection is the point.

Fifteen-plus years in product and UX shaped my judgment. Full-stack development and AI agents expanded what I can build.

Strategy, design and engineering now meet in the same work. Shipping tests the implementation. Use, feedback and measurable outcomes test its value.

01Product judgmentChoose the question
02Human-centered designMake it usable
03Engineering + agentsBuild and verify
IntersectionLive productReality changes the next decision