Writing
AI Implementation
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Two Hosts Who Don't Exist: How We Generate Our Podcast With Gemini 3.1
We moved our audio stack from OpenAI to Gemini. An honest guide to a two-host podcast on Gemini 3.1 multi-speaker TTS: what breaks, and how we fixed it.
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From 17% to 97.8%: Making a Laptop-Sized AI Actually Reliable
A small on-device model started at 17% on a real task and ended at 97.8% with full speed intact. The biggest lever wasn't the model. It was the prompt.
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Stop Measuring AI by Test-Pass Rate
Green tests prove the AI did what it tried, not that it was worth trying. The real metric: would a senior engineer merge it, and how to benchmark that.
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91% Using AI. 11% Shipping. Which Are You?
Four stages of AI adoption: Experimenting, Piloting, Shipping, Compounding. A quick assessment to find where you are and what it takes to move forward.
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Compounding Engineering: The 4-Step Loop
Most engineering makes the next feature harder. Compounding engineering flips it: a Plan, Delegate, Assess, Codify loop where each cycle makes the next easier.
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Why 95% of AI Projects Fail (And What Mid-Market Companies Can Do About It)
MIT research says 95% of AI pilots fail, and 84% are leadership failures, not technology. Why mid-market projects stall, and how to get yours shipping.