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Every SIEM advertises an API. That is not the same as being usable by an agent — and the gap between the two is the whole problem. Module 1 starts where every conversion has to start: an audit of one screen you already own. Six columns, one case view, and the question of where all of it actually came from. The finding is uncomfortable. None of the assembly an analyst depends on exists in any single API response. The screen is not a window onto the API — the screen is where the investigation gets built. Ask the API the same question and you get data; ask the head and you get an investigation. That is the difference this series is about, and module 1 is how you find it in your own product: audit the screen, trace what it assembled, and turn one screen into one capability that carries everything the screen knew. ──────────────────────── An MCP is not your API — converting any application to headless. Five modules, worked end to end on a real product: a SIEM. ▸ Module 1 — Converting a web SIEM to headless ▸ Module 2 — Headless, once the operator is an AI agent ▸ Module 3 — Designing the capability surface ▸ Module 4 — Trust: security at the MCP line ▸ Module 5 — The finale: routing, skills, and the conversion score ▸ Full series playlist: https://www.youtube.com/playlist?list=PLU4384WReOyE This is module 1 of 5. Fluency Security — https://fluencysecurity.com Blog — https://blogs.fluencysecurity.com

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