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AI Product Design & Engineering track icon
Track · Meridian Product Co.
4 weeks · 4 missions · 1 in cohort

AI Product Design & Engineering

Design, prototype and ship product with a model on every seat.

Product designer sketching wireframes in a notebook beside a closed laptop
§01 / The brief

Why this track exists.

An end-to-end product track for designers and engineers who want to operate as a one-person studio. You will go from rough idea to a deployed, instrumented product — using AI as a co-pilot at every step, not just in the IDE.

Expect to ship two production-grade artefacts: a real interface and a real piece of running software behind it.

End-to-end product cycle — from brief to a deployed, instrumented surface.

§02 / Who it's for

You are…

  • Designers who want to ship the thing themselves
  • Engineers who want taste, not just throughput
  • Founders prototyping the next product
§03 / What you'll learn

By the end…

  • Brief → flows → wireframes → high-fidelity in days, not weeks
  • Use models for component generation, copy, and design QA
  • Build typed, tested full-stack features with AI-paired engineering
  • Ship, measure, iterate — a real product cycle in miniature
§04 / The arc

4 weeks. One ship date.

Week 01
Problem framing

Pick a real problem. Map flows. Find the smallest shippable surface.

Week 02
Design

From wireframe to high-fidelity. Components, tokens, microcopy.

Week 03
Build

Ship the product end-to-end. AI-paired engineering with tests.

Week 04
Launch & learn

Deploy, instrument, run user sessions, iterate.

§05 / Missions

The work, in order.

  1. 01
    Problem framing

    Pick a real problem. Map flows. Find the smallest shippable surface.

    lesson
  2. 02
    Design

    From wireframe to high-fidelity. Components, tokens, microcopy — all AI-paired.

    challenge
  3. 03
    Build

    Ship the product end-to-end with AI-paired engineering and tests.

    challenge
  4. 04
    Launch & learn

    Deploy, instrument, run user sessions, iterate.

    peer_review
§06 / Tools

Your stack.

FigmaLovableCursorLinearVercelPostHog

Tools shift fast. We teach the workflow so you can swap any of these without losing a beat.

§07 / What you ship

Portfolio you can defend.

  • A polished product surface (designed + built)
  • A working deployment with analytics wired in
  • A teardown of your own product — what you'd change next
§08 / FAQ

Common questions.

Do I need to code?+

You'll write code — paired with AI. We optimise for shipping over typing speed.

Will I have something I can show?+

Yes — a live URL and a case study by week four.

§09 / Related

Stack it with…

Next cohort

Ship a ai product design & engineering portfolio piece in 4 weeks.

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