Training that changes what people do Monday.
Hands-on exercises and expert training from people who know the work. Your team leaves with shared language, practical starting points, and something useful to try the next day.
# AI Training Run pre_work: [x] workflow audit [x] tool inventory [x] bring one messy process live_session: 01 exec framing 02 role-based labs 03 peer cohort breakouts 04 rebuild one workflow leave_with: monday experiment cohort accountability first reusable playbook
There are a few ways to learn with us.
Join the public cohort, bring the training into your company, or run a focused session for the leaders who need to make better calls.
Join the public course with pre-work, live labs, peer groups, and a practical plan for your org.
View Maven course ↗Private team session
Bring the playbook into your company for engineering, product, design, or cross-functional teams.
Plan a team session →Executive room
A focused leadership session on what to fund, inspect, stop, and reinforce after the training.
Design the session →Bring the playbook into your company.
We can adapt the course for your team, run a focused executive session, or help a builder group leave with a concrete Monday experiment.
Our syllabus keeps pace with how AI work is changing.
The live curriculum changes as the AI landscape changes, but the spine stays practical: culture, technical readiness, operating model, leadership conversations, and the follow-through that turns training into movement.
Know where AI creates leverage
Map engineering, product, and design work into what agents can own, what people should augment, and what should stay human.
Build a culture that actually adopts
Find the people already changing how they work, make the patterns visible, and design rituals that help the behavior spread.
Make your codebase work with agents
Centralized agent rules, fast feedback loops, guardrails, autonomous PRs, and the trust systems complex repos need.
Redesign the EPD operating model
Rethink spec, design, build, review, and ship when prototypes are cheap and background agents are part of the system.
Lead the hard conversations
Talk clearly with skeptics, boards, and teams about what to fund, what to stop doing, and how to sequence the change.
Leave with accountability
Pre-work, peer discussion, follow-up office hours, and a cohort community so the work continues after the live sessions.
The room leaves with artifacts, not vibes.
Our course runs on a custom-built learning platform with pre-work reports, live exercises, and an AI agent that summarizes personal notes into useful follow-up.
AI Maturity Assessment
Culture, technical readiness, and company system. Where the org is strong, where it is stuck.
Pick the first team pattern worth copying and make it teachable.
Tool Inventory
What people actually use across IDEs, agents, notes, design, project systems, and review.
Anti-To-Do List
Tasks, meetings, processes, and rituals that should be automated, augmented, or killed.
Opportunity Map
Automate, augment, ignore, kill. A practical map for where to start.
high repeat / low judgment
human call / AI prep
low value / low repeat
old ritual / no signal
Tools-focused trainings by people who actually use them day to day.
Claude
Claude Code
Codex
ChatGPT
CursorTalk to us about AI training.
Tell us who needs the playbook, what they already know, and what has to change after the session.