AI & Cloud Insight
Field notes from building production AI — agents, knowledge systems, and the infrastructure that keeps them honest.
SESM: A State Machine That Teaches Itself
Start with 7 hand-written states. Let production traffic find the rest. A model that costs a hundredth of a cent per judgment does the triage — and a one-line rule keeps a 60%-accurate judge from ever corrupting the machine. Open source, with the receipts: blinded eval, convergence proof, and an interactive replay of a real run.
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The Dark Stair: We Asked Fable 5 to One-Shot a Game. It Did.
One prompt: 'one-shot an app — anything other than a final, polished, flawless product is a fail.' Fable 5 came back with a complete roguelike, no bugs, then iterated itself overnight to v7 — voice lines, sprites, Blender scenes, ambient music and all. Play it free, no signup.
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MCP-as-API-Wrapper: Inverting the MCP Pattern for Dynamic Agent Integration
The MCP-as-API-Wrapper pattern reduces the MCP server to a thin discovery and authentication layer with exactly three tools. The entire API surface evolves independently behind it.
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The Human Attention Bottleneck: Why the Next Leap in AI Isn't Smarter Models
The constraint on AI systems isn't intelligence anymore. It's us. Human attention has become the bottleneck, and the organizations that figure out how to systematically address this will define the next era of software.
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