
Most "AI decision tools" do one thing: you type a question, they write back a confident-sounding paragraph. That paragraph is a guess dressed up in good grammar. Chronos does something different. It builds a memory of your actual company first, then runs your decision through that memory instead of guessing in the dark. Here's what that looks like in practice. Chronos pulls in your GitHub repos, your documents, and live evidence from the web, and turns all of it into a memory graph: the projects, people, claims, and risks you actually have, and how they connect. Bring it a real decision, like whether to pivot, hire, or raise now versus wait, and a Multi-Agent Council of LLM agents (running on Fireworks AI's AMD-hosted infrastructure) argues it out from different angles before converging on a recommendation. Instead of just an opinion, you get a probability score and an Expected Regret number for each path, so you can actually compare options instead of trusting a gut feeling. Want to sit with it longer? Talk to a simulated future version of yourself and ask what the decision felt like six months out. That's the real difference. Most AI co-founder tools generate a plan once and move on. Chronos treats a decision as something worth simulating and scoring, grounded in evidence you actually have, not a generic playbook with your company's name pasted in. And it's not a mockup. The frontend runs on Vercel, the backend is FastAPI on Render, and everything above, the memory graph, the council, the regret scoring, is live right now, wired to real providers with safe fallbacks so it never breaks mid-demo.
13 Jul 2026