Blog
Blog
Long-form essays on AI products, eval / benchmark methodology, and design.
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FDE: The Engineer Who Puts AI to Work
AI demos are easy now. The hard part is connecting one to a real business and owning what happens after launch. That is the gap FDEs fill.
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Shipping an Agent Is 10× Harder Than the Demo
A convincing agent demo is easy. Production requires the system to verify outputs, constrain failures, and remain accountable after launch.
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Beyond Five Archetypes, What Must PMs Decide?
In the AI era, PMs create value by making choices where answers are unclear and turning verifiable judgment into rules people and agents can inherit.
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Loop Engineering Is Inference-Time RL
Loop Engineering is reinforcement learning moved to inference time with frozen weights. This mapping explains its design rules and failure modes.
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Designing Loops Is Your Next Leverage
Loop Engineering turns repeated prompting into an automated feedback loop—but only when the task has a cheap, reliable verifier.
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How Far Can You Trust an AI Agent?
An AI agent's safe autonomy depends less on raw intelligence than on whether you can check its work quickly, cheaply, and reliably.