Building an AI-Native EPD Org
Claire Vo
Creator of ChatPRD | Host of How I AI
Zach Davis
Principal Engineer | Prev. Dir of Eng
The playbook for turning AI tool adoption into organizational transformation.
Your team has AI tools, but you're not close to AI-native.
Most EPD orgs buy Claude Code, help their PMs vibe code a bit, and call it progress.
But the gap between "some are using AI a lot" and "AI is changing how our entire EPD org operates" is huge, and almost nobody is closing it.
The problem isn't access to tools, it's that nobody invested in the culture change, technical readiness, or operations redesign required to turn individual adoption into organizational leverage.
🤖 Your codebase isn't ready for agents.
🎁 Your PMs create prototypes and expect them to get built.
🤷♀️ Your designers don't know how to get their fixes to production.
And you're supposed to have the plan. This 2-day intensive will help you build it.
Taught by Claire Vo and Zach Davis — operators who've done this firsthand, not consultants who've read about it.
Claire has interviewed 50+ EPD leaders on How I AI and has more first-person data on AI adoption than anyone in the industry.
Zach led AI transformation across 100+ engineers and built the systems that got an entire org actively using AI tools weekly.
You'll leave with specific tactics, real examples, and a peer group for accountability + inspiration.
What you’ll learn
Learn to turn scattered AI experimentation into org-wide transformation that ships at scale.
Categorize your org's work across engineering, product, and design into what to delegate to agents, what to augment, and what stays human.
Understand where AI transforms PM and design workflows, not just coding.
Discuss real examples to see how far you can push your team.
Engineer first experiences that convert skeptics, across every function, not just engineering.
Build champion networks. Pair top-down tone-setting with grassroots energy. Make AI use visible, social, and contagious.
Design events + rituals that compound the effect.
Set up centralized agent rules, fast feedback loops, and automated guardrails.
Understand how background agents work in production — sandboxing, verification loops, autonomous PRs — and what infrastructure they require.
Run technical initiatives and burn down tech debt in an automated, scalable way.
Navigate role evolution — engineers as reviewers, PMs building prototypes, designers going from concept to working front-end.
Rethink the spec → design → build → ship cycle when prototyping is nearly free.
Decide what's encouraged vs. expected for each role. Measure what actually matters.
Talk to skeptics, boards, and teams with confidence.
Know what to invest in, what to stop doing, and how to sequence the change.
Hire (and fire) for the team you need to build.
Who this course is for
VPs of Engineering
who need a real answer when their board asks "what's our AI strategy?" — not just "we bought licenses."CTOs and CPOs
who need to lead AI adoption across engineering, product, and design — not just sponsor an engineering tool rollout.Staff and Principal Engineers
tapped to "figure out AI" for the org, who need both the playbook and the leverage to make it work.
What's included
Live sessions
Learn directly from Claire Vo & Zach Davis in a real-time, interactive format.
2 guest firesides
Nan Yu, CPO of Linear on the future of product. & Chintan Turakhia from Coinbase on scaling across 1,000+ engineers.
Optional Q&A after each day
Open conversation with Claire, Zach, and the rest of your cohort.
Pre-work via AI-powered course hub
Personalized readings, watches, and listens curated to your role, a self-assessment, and a challenge to shadow an AI workflow on your team. So we skip the basics.
3 follow-up office hours over 90 days
Week 2, 6, and 12. Share what worked, troubleshoot what didn't, stay accountable.
Private cohort Slack community
Async support and peer exchange between sessions and beyond.
Lifetime access to session recordings
So you can revisit our sessions any time you need them.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
Apr
18
Session 1: Where AI Creates Real Leverage
Apr
18
Session 2: Building a Culture That Actually Adopts
Apr
18
Guest Fireside: Nan Yu, CPO of Linear
Apr
18
Optional: Q&A
Apr
19
Session 3: Making Your Codebase Agent-Ready
Apr
19
Session 4: The New Operating Model
Apr
19
Guest Fireside: Chintan Turakhia, Coinbase
Apr
19
Optional: Q&A
Schedule
Live sessions
7 hrs
2 half-days of live sessions. 4 classes taught by Claire & Zach + 2 fireside chats. Short teaching, honest conversation, structured peer discussion.
Sat, Apr 18
4:00 PM—5:00 PM (UTC)
Sat, Apr 18
5:30 PM—6:30 PM (UTC)
Sat, Apr 18
6:45 PM—7:30 PM (UTC)
Spiky Points of View
Access to tools isn't enough. Without culture, codebase readiness, and operating model changes, tool rollouts create activity without momentum.
Everyone will be writing code. PMs are shipping PRs. CEOs are reviewing agent output. Designers are pushing front-end. "I'm blocked" is an outdated idea.
Your codebase is the bottleneck. Not the models. If a new hire can't get productive in your repo, agents can't either.
Background agents are here — and most orgs aren't ready. Autonomous agents that open PRs, run tests, and ship code while your team sleeps are production-ready. But they require infrastructure, guardrails, and trust systems that most codebases don't have yet.
You can go way faster than you think. The processes you trust are built on assumptions that are no longer true.
Frequently asked questions
$2,500
USD