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Notes from the engine room

Lessons from building GTM engines and AI agent systems in production — what works, what breaks, and why.

Hard Gates, Not Soft Preferences: What Production Taught Me About LLM Classifiers

Your AI agent isn't misbehaving — your prompt is negotiating. Why "prefer X when…" fails in production, and the decision-tree structure that fixed our misclassifications.

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The Black Hole Between "Yes" and Signature

Leads that already agreed in principle were going cold in an inbox. Here's the autonomous agent we built to close the gap — and how it now closes 35% of contracts without a human touching them.

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Stop Buying Tools. Build Engines.

Every GTM stack I audit has the same disease: ten tools, zero system. The difference between a stack that costs money and an engine that compounds.

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