Build Your AI-Native Team: The Full Stack

Dr. Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe |

+ Dr. Aki Wijesundara

Team AI ROI: 2.5 hrs back per person, every week

Your 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, the docs, the builds, the automations, the produced output - still happens by hand, one role at a time. In a single day, on your team's own real work, 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 stack - research, build, automate, produce.

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

What you’ll learn

🚀 Map your work to the four AI jobs, choose a tool for each, build something live, and leave with a one-page team stack and a rollout plan.

Sort every recurring task into research, build, automate or produce
Turn an overwhelming tool landscape into a short shopping list
Judge any tool on cost, lock-in, data and skill ceiling

Get fast, sourced answers with AI search, and check the citations
Turn your reports and PDFs into a knowledge base you can interview
Know which general assistant to reach for, and why to keep more than one

Build a real internal tool by describing it with Claude Code, Lovable or Replit
Use Claude and Claude CoWork to run and automate real work
Know where no-code ends and real engineering begins

Turn a rough outline into a finished deck, doc or page
Leave with one reliable tool per job and a one-page team stack
Roll it out with named owners and a first-week plan

Workshop agenda

Block 1: The AI Tool Landscape
Pick the job before the tool. The four jobs every AI tool does and the tools that own them, from Claude Code and Claude CoWork for building and automating to the rest of your stack. Plus how to choose a stack you won't regret on cost, lock-in, data and skill ceiling, and a live exercise mapping your team's jobs into a one-page shopping list.
Block 2: Research and Synthesis
Fast, sourced answers with AI search (Perplexity) and how to check the citations; turn your own reports and PDFs into a knowledge base (NotebookLM); which general assistant to reach for; then run a real research task live.
Block 3: Build and Automate
Build real internal apps just by describing them with Claude Code, Lovable and Replit; use Claude and Claude CoWork to run and automate real work across your tools; connect everything so multi-step work runs itself with n8n; know where no-code ends and engineering begins; then build or automate one real need live, end to end.
Block 4: Produce and Assemble Your Stack
Turn rough input into polished decks and docs fast (Gamma); assemble your team's reference stack, one reliable tool per job; roll it out without chaos with defaults, data rules, owners and human review; and write your stack on one page with a plan.

Learn directly from expert instructors

Dr. Aki Wijesundara

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AI Advisor | Educator | Google AI Accelerator Alum

Manu Jayawardana

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

Previous Students from

Dr. Aki Wijesundara

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AI Founder | Educator | Google AI Accelerator Alum

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Who this workshop is for

A team lead told to get the team on AI
Drowning in tool choices, you need one deliberate stack, not subscriptions no one adopts.
Ops, product, marketing or finance teams
You use scattered tools with no shared standard, and want one clear default per job.
A cross-functional team
You want research, build, automate and produce all covered, with a clear default for each.

What's included

Live sessions

Learn directly from your instructors in a real-time, interactive format.

Everything you build, yours to keep

The four-jobs map, your tool choices, the live research result, your build or automation, and the one-page team stack. All yours.

Community of peers

Stay accountable and share insights with like-minded professionals.

A one-day workshop, led by both founders

A single full day run by Aki and Manu, where every person builds on their own real tasks and ships something usable.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Testimonials

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.
Modern Health
Global mental health platform (Lyft, EA, Ancestry). On-site workshop.
Engineers improved the real systems they ship every day, and left with production-ready Claude integrations and a reusable AI playbook.
WireApps
AI-first engineering agency, 50+ engineers. Six-week cohort.
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.
Kavi T.
CEO of Tilli Kids / Stanford PhD
A two-day cohort delivered 5x faster listing throughput and 14 production tools shipped on the team's own systems.
MPB
The world's largest used-camera marketplace. Two-day cohort.
The instructors help break down AI model development and clearly have plenty of experience to help others learn about complex concepts like infrastructure setup. The practical approach to NLP and LLM applications was exactly what our team needed.
Alissa Valentine
NLP & LLM Real World Data Scientist
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.
Aamir Faaiz
CEO of Bayseian