LiveCrew AI - AI Executive Team

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LiveCrew is a SaaS platform that lets solo operators and small teams run structured, multi-agent AI meetings as the CEO. You direct specialized AI agents through collaborative working sessions with defined roles, turn-taking, and persisted context, instead of fragmented one-off prompts. Unlike single-agent chat tools or autonomous agent swarms, LiveCrew keeps the human in the decision seat while compounding agent expertise across recurring meetings.

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I was tired of being the integration layer between my own AI tools. Every real decision turned into the same ritual: open three tabs, prompt one model as the engineer, another as the skeptic, a third as the PM, then sit there copy-pasting between them like a human message bus. By the time I had a synthesis, I'd lost the thread of what I actually thought. Agent swarms promised to fix this by removing me from the loop. Wrong direction. The interesting decisions are exactly the ones I don't want delegated. I want leverage, not absence. LiveCrew is the version that should have existed already: a meeting room where I sit as CEO and specialized agents take turns with defined roles, persisted context, and a structure that actually resembles how real teams think together. The build taught me more than the idea did. I spent a week sold on a clean ORM setup before admitting out loud that Alembic autogeneration quietly falls apart on the exact schema features LiveCrew depends on, RLS, triggers, partial indexes. Ripped it out, went to raw asyncpg, shipped faster. Same story with transport: WebSockets felt like the obvious choice until SSE turned out to be simpler, sufficient, and harder to break. The pattern kept repeating. Every time I caught myself reaching for the prestigious option, the boring one was correct. That ended up being the real product philosophy too: keep the human in the seat that matters, and let the rest be unglamorous.