Why AI Agents Fail in Production: A Builder’s Guide
Most AI agents work in a demo and break in production. The Production Gap framework shows builders the four reasons agents fail and how to ship reliable ones.
Field notes from four reinventions — a $200M exit, two unicorns, and building AI-native. Published as I learn.
Most AI agents work in a demo and break in production. The Production Gap framework shows builders the four reasons agents fail and how to ship reliable ones.
Building in public works as distribution only when you share proof, not performance. The Proof Ladder and Four Conversions frameworks show founders how.
Second-order thinking is what separates strategy from tactics. The Consequence Cascade shows builders how to read the effects of their effects before they ship.
Founder ego is the silent killer of startups. The Ego Curve and the Four Attachments framework show when ego helps you, when it kills you, and how to let go.
Most AI data moats are a story founders tell themselves. The Data Moat Ladder shows the 5 rungs of real defensibility and how to build one that actually holds.
Prompt engineering is product architecture, not wordsmithing. The 5-layer stack that keeps AI products from breaking when the model or the inputs change.
Time management failed me 3 times. Energy management did not. The 4-energy founder operating system, ultradian protocols, and a 7-day audit you can run tomorrow.
The reinvention mindset for 2026: a 5-stage Reinvention Loop, identity flexibility score, and the mental models to rewire yourself before the world forces you.
A founder's playbook for recovery after failure, burnout, or loss. The non-linear Recovery Curve, 5 accelerants, and what to do in your first 90 days back.
A founder's playbook for career reinvention after 40 in the AI age. Skills transfer map, 5 second-act lanes, and a 90-day plan with AI as co-founder.
Building something interesting? Looking for an investor who’s been in the trenches? Or just want to say hello? I’d love to hear from you.
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