AI for Product Teams: Idea to Spec to Ship

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

Idea to spec to ship faster — 2.5 hours back per PM weekly

Your product team already has Claude access - but they're using it like a search engine, not a coworker. It sits in a browser tab while the real work - the research synthesis, the specs, the prototypes, the documentation - still happens by hand. In four hours, on your team's own real features, that changes.

The math: teams that adopt AI properly run 25.1% faster on AI-suitable tasks - about 2.5 hours back per person, every week - which compounds into a 5.3× annualized ROI (Harvard Business School × BCG; U.S. BLS labor data). Break-even is ~28 minutes saved per person per week.

Proven on real teams. The same shape of session we ran for Modern Health, where Product, Ops, Design and Engineering each shipped a working build on their own data in a single day; MPB, 5× faster listing throughput; and Type B Digital, operator output lifted 2.5×.

One date, your whole team. Bring two people or twenty, no cap on numbers. Nobody experiments alone — everyone walks out on one setup and one shared way of working. Go native across the full product cycle — idea to spec to ship, the why never lost.

Exact date and time are confirmed after enrolling. Questions first? Email us or book a call here.

What you’ll learn

Your team compresses idea to shipped, synthesising research, drafting specs, and standing up prototypes with AI.

  • Turn interviews and feedback into themes and insights in minutes

  • Cut a pile of tickets and notes into the few things that matter

  • Pull signal from your own user data without reading every line by hand

  • Draft a clear spec from a rough idea, ready for engineering to read

  • Spell out edge cases and acceptance criteria you would have missed

  • Keep the spec tied to the research so the why is never lost

  • Stand up a working prototype to test an idea before you commit to it

  • Turn a spec into a clickable draft your team can react to today

  • A shared playbook so the team keeps shipping faster after we leave

Workshop agenda

  • Before the day: Discovery call (1 hour, free)

    We meet your product team, look at how you research, spec, and build, and tailor the day to your tools and process.

  • Hour 1: Research synthesis

    We turn real interviews, tickets, and feedback into clear themes and insights, live in the room.

  • Hour 2: Idea to spec

    Take a rough idea and draft a spec the team can build from, with edge cases and acceptance criteria.

  • Hour 3: Spec to prototype

    Stand up a working prototype from the spec so the team can test the idea before committing to it.

  • Hour 4: Capstone on a real feature

    Each group ships a synthesis, spec, or prototype on a real feature, then presents it to the room.

  • After the day: Office hour

    A follow-up session to unblock the team as the new workflow moves into the product cycle.

Learn directly from Aki & Manu

Aki Wijesundara

Aki Wijesundara

AI Advisor | Educator | Google AI Accelerator Alum

Google
Meta
OpenAI
Amazon Web Services
NVIDIA
Manu Jayawardana

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

OpenAI
Boston Consulting Group (BCG)
NVIDIA
Google
McKinsey & Company
See all products from TAI Labs

Who this workshop is for

  • Product leads who want a shorter path from idea to something they can test.

  • Product managers spending more time on docs and notes than on decisions.

  • Founders building product who want to ship and validate ideas faster.

What's included

Live sessions

Learn directly from Aki Wijesundara & Manu Jayawardana in a real-time, interactive format.

One booking covers your whole team

No need to buy a seat per person. After you book, we schedule the session around your team's timeline, and you can bring as many people as you like, with no cap on team size.

Free 1-hour discovery call

We map how your team researches, specs, and ships before the day begins.

4 hours of hands-on teaching

Live building on your real research, specs, and features, not generic demos.

A capstone build

Your team ships a synthesis, spec, or prototype on a real feature and presents it by end of day.

A product playbook

The prompts and workflows your team uses to keep moving from idea to ship faster.

Follow-up office hour

We unblock the team as the new workflow settles into the product cycle.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Testimonials

  • Engineers improved the real systems they ship every day, and left with production-ready Claude integrations and a reusable AI playbook.
    Testimonial author image

    WireApps

    AI-first engineering agency, 50+ engineers. Six-week cohort.
  • In a single on-site day, Product, Ops, Design and Engineering each shipped a working build on their own real data, using Claude Code and MCP.
    Testimonial author image

    Modern Health

    Global mental health platform (Lyft, EA, Ancestry). On-site workshop.
  • A two-day cohort delivered 5x faster listing throughput and 14 production tools shipped on the team's own systems.
    Testimonial author image

    MPB

    The world's largest used-camera marketplace. Two-day cohort.
  • Over a five-day cohort the team shipped 8 client-ready automations and lifted operator output 2.5x.
    Testimonial author image

    Type B Digital

    Strategy consultancy. Five-day cohort.
  • I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it’s had a real impact on our productivity.

    Testimonial author image

    Aamir Faaiz

    CEO of Bayseian
  • The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.

    Testimonial author image

    Kavi T.

    CEO of Tilli Kids / Stanford PhD

Official Claude Partner - Training the AI-Native Workforce

Who You'll Be Learning From

Learn from Aki & Manu. Previous students are from top companies like Google, Meta & OpenAI.

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Private cohort

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$9,999

USD

8 days left to apply

Jul 29Jul 30
·

5–9pm EDT

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