Workshop Materials

The full AI-SHIPR system at a glance - all folders, all layers, how the pieces connect. Start here if anything feels unclear about the structure.

How insights compound across sessions. From work to learning-log to decisions to core rules - this is the mechanism that makes the system get better over time.

Every stage of a feature from first signal to second iteration - Discovery through Iterate - with the right agent, skill, or workflow for each step.

Which agents call which skills, which agents operate standalone, and the full strategy-to-execution chain.

Common questions from workshop participants: setup, multi-team usage, creating your own agents and skills, adding external tools, and updating the system.

Where the files live when a VP and several PMs share one system - covers Google Drive, Microsoft 365 SharePoint, Atlassian Confluence, and Notion.

The other half of a team setup: which worksheet each person fills, the order to install in (VP first, then each PM, then reconcile upward), and what to do when a PM changes product or leaves.

The setup runbook for a Director or Group PM whose teams are engineering squads, working alongside a designer, researcher or analyst. Which mode to pick when the worksheet points you wrong, why you need two folders, and what a non-PM fills in.

Which agents, skills, and workflows belong to each product lifecycle stage - Discovery through Iterating. Opens with the one chain (Bet → Initiative → Hypothesis → Experiment → Learning) and how each stage moves its spotlight.

The dials in Settings.md explained - Team Mode, Product Mode, Product Stage, and Voice. How they are independent, how they combine, and how to pick yours. Clears up the most common configuration confusion.

What a bet, an initiative, a hypothesis, an experiment and a learning actually are, how each one produces the next, and why the relationship between every two levels is one to many. Carries a single worked example the whole way down and back up.