How I Built an AI-First Knowledge System That Actually Works
Most knowledge systems fail because they're built for storage, not retrieval. Here's what actually worked.
Field notes for AI-native thinking.
Field notes on using AI agents to scale your judgment and compound your output.
Most knowledge systems fail because they're built for storage, not retrieval. Here's what actually worked.
A roadmap of guides and templates for operators building agent workflows. The first systems are in progress.
A practical harness for triage, synthesis, and follow-through across your week.
Patterns for domain experts who ship with agents without becoming full-time engineers.
The skills I reach for most when loops need to compound instead of stall.
Get notified when the first systems drop.
The old product path trained us to think, plan, and persuade, but not to make. Agents changed that: the operator with taste, context, and loop design can build without waiting for permission.
Leverage Loops is for PMs and operators turning that into a compounding capability: judgment, context, and output that get sharper every loop.