Workshops for Product Teams
Engineers now ship faster than PMs can plan. Designers watch prototypes materialize overnight. The ground shifted - and the teams that find their footing first won't just survive this transition. They'll find it's the most creative, high-impact era product work has ever seen.
The Problem
If your role feels uncertain right now, you're not imagining it. AI coding tools have fundamentally changed what engineering teams can deliver - and the ripple effects are hitting product, design, and development simultaneously. The playbooks that built careers over the last decade are being rewritten in real time.
That feeling of the ground shifting? It's real. But here's what the data also shows: this isn't a story about roles disappearing. It's about roles transforming - into something with more creative latitude, more strategic influence, and more direct impact than product teams have ever had.
The catch is that the transformation doesn't happen by itself. Companies that simply pour AI-generated code through unchanged processes are accumulating technical debt at 4-8x the normal rate and hitting a predictable wall within 18 months. The teams that thrive are the ones that evolve how they think, not just how fast they ship.
"Engineers can now build and ship faster than PMs can plan, and in some cases, faster than users can absorb."
Battery Ventures - Convening of 12 Product Leaders, 2025
The question isn't whether your team needs to evolve. It's whether you lead the transformation or get reshaped by it.
Who This Is For
The boundaries between product, design, and engineering are dissolving. Anthropic calls everyone "member of technical staff." Vercel says "everyone's an engineer now." This workshop meets each role where the pain is - and builds toward where the opportunity lives.
Your backlog management and sprint rituals are being automated. That's unsettling - but it also means you can finally focus on the work you always wanted to do: strategy, discovery, and judgment. The PM role isn't shrinking. It's shedding busywork and demanding more taste, more conviction, and more clarity than ever. We'll show you how to deliver all three.
When anyone can generate a UI in minutes, the value of design shifts from pixels to thinking. User research, interaction patterns, information architecture, and design systems become your superpower - not your wireframes. You'll learn to use AI as a rapid exploration tool while deepening the craft that actually differentiates great products from fast ones.
You're writing less code and reviewing more. AI generates 90% of it at some companies - but 45% of AI-code deploys cause production problems. Your role is evolving from author to architect: setting quality gates, designing evaluation frameworks, and ensuring AI-speed execution doesn't collapse under its own technical debt. We'll give you the guardrails and review processes to make velocity sustainable.
Workshop Formats
Every format is hands-on, research-backed, and customized to your product context. No generic slides. No theory that dies on contact with Monday morning. You'll leave with working artifacts, not just ideas.
Foundations
1 Day · 6 Hours · Up to 30 people
A high-impact day for teams that need to understand what changed, why it matters, and what to do about it. Replace anxiety with a clear-eyed view and a concrete plan.
What You'll Cover
Most Popular
2 Days · 12 Hours · Up to 25 people
The full operating system upgrade. Day one rewires how your team thinks. Day two rewires how your team works. You leave with new workflows, shared language, and the confidence that comes from having built with the new tools together.
Everything in The Shift, Plus
Transformation
5 Days · 30 Hours · Up to 20 people
A full-week immersion for teams committed to leading this transition. Combines intensive skill-building with coached implementation on your actual product - so the new operating system is already running when the workshop ends.
Everything in The Overhaul, Plus
Curriculum
Six modules built on research, designed around real tools, and aimed at the specific capabilities that separate the teams thriving in this transition from the ones drowning in it.
Module 01
What's real and what's hype - told honestly, because your team deserves clarity, not cheerleading. The METR study showing experienced devs are actually 19% slower with AI on familiar codebases. The Harness data on production incidents. Amdahl's Law for software. Where the bottleneck actually sits in your organization, and how to diagnose it before you optimize the wrong thing. You'll leave this module with a shared, realistic picture - which is the foundation everything else builds on.
Module 02
The irony of AI-speed development: shipping faster makes understanding your users more important, not less. This module covers AI-assisted insight mining, rapid synthesis of customer conversations and support data, and the validation loops that let you test concepts with real users in 24 hours instead of 6 weeks. You'll learn what qualitative research catches that data instrumentation misses - like the GPT-5 launch, where users had formed emotional attachments no dashboard would have revealed.
Module 03
The spec is the new code. How to write specifications that serve as executable intent for AI coding agents. Hands-on with GitHub's Spec Kit, Amazon Kiro's approach, and PRD-in-repo workflows. The critical distinction between specs that produce coherent products and specs that produce fast garbage. Practice: take a real feature from your backlog and write the spec that ships it.
Module 04
From spec to working prototype in hours, not weeks. Live building with Claude Code and Cursor. This is the module where the energy shifts - where PMs and designers realize they can bring ideas to life directly, without waiting in a queue. But we also teach the critical discipline: when to prototype, when to research, and how to avoid the seductive trap of building because it's fun while neglecting the thinking that actually drives product success.
Module 05
At the best AI-native companies, everyone ships code. PMs prototype features. Designers build interactive proofs-of-concept. Engineers focus on architecture and review rather than translating other people's ideas. This module breaks down the practical how: shared tools, shared repositories, shared language. We work through the real friction points - ego, skill gaps, trust - and build workflows where the old boundaries dissolve into something more fluid, more creative, and more effective.
Module 06
The 81% vs 55% finding: why teams with continuous, opinionated review see quality improvements while equally fast teams without review produce chaos. Code quality anti-patterns in AI-generated code (the 10 patterns found in 80-100% of AI-generated repos). The technical debt audit framework. How to implement guardrails without killing velocity. Review processes borrowed from Anthropic, Shopify, and Vercel - adapted to your team's context.
Our Foundation
Every framework we teach is grounded in empirical data from the organizations studying this transformation most rigorously.
FAQ
No. They need enough familiarity to run a project, iterate, and collaborate. We teach "PM-safe" workflows and keep engineering in control of production merges.
Most modern JavaScript frameworks and front-end workflows. We'll align to whatever your team uses.
No. This service is stand-alone. (Evermuse the product remains focused on customer evidence and prioritization.)
We include a simple "what not to paste" policy, verification habits, and a review gate so nothing sensitive leaks and quality stays consistent.
Very. Before every engagement we run a discovery call to understand your product, tech stack, team structure, and specific pain points. The frameworks are consistent, but the examples, exercises, and artifacts are built around your real work.
Cross-functional groups of 10-25 people tend to get the most out of it. Large enough for diverse perspectives, small enough for hands-on exercises and real conversation.
Yes. We run workshops both on-site and remote with equal effectiveness. Remote sessions use collaborative tools and shorter, more focused blocks to keep energy high.
Greater clarity and confidence about the new shape of Product. Recommendations for next steps and skills to build, and depending on format - your first very own GitHub PR!
Voices from the Frontier
The greatest risk for product teams today isn't moving too slowly; it's moving fast in the wrong direction.
Battery Ventures
Product Leadership Dinner, 2025
In the AI age, nothing matters more than Product Sense.
Shreyas Doshi
Former PM at Stripe, Twitter, Google
Writing evals is the new critical PM skill.
Kevin Weil
Chief Product Officer, OpenAI
All the skills we've built up working with engineers and designers are exactly what you need to work with an AI teammate.
Jackie Bavaro
Author, Cracking the PM Interview
The idea guys are about to have their day in the sun.
Sam Altman
CEO, OpenAI
Our teams can now dream up an idea one day and have a functional prototype the next.
Pali Bhat
Chief Product Officer, Reddit
By allowing non-technical people and domain experts to use English as the programming language, AI blurs the line between specification and implementation.
Raza Habib
CEO, Humanloop
Let's Talk
Your team already senses the change. Give them the frameworks, the tools, and the shared language to turn uncertainty into the most exciting chapter of their careers.
Book a CallTypically responds within 24 hours · Custom pricing based on team size and format