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Chronicle is an AI that builds a real model of a person's own decision history — not a generic advisor, but one that reasons from what someone actually chose, why, and how it turned out. When you bring it a dilemma, an Orchestrator Agent plans the response live, deciding which specialists to call: a Scout Agent researches real-world context on Google's Managed Agents (Antigravity), a Quant Agent runs the numbers only when the decision genuinely turns on arithmetic, and a four-agent reasoning chain — Pattern, Goal Alignment, Devil's Advocate, Synthesis — debates its way to a recommendation grounded in the person's own history, handed off via the real Interactions API. Every claim cites a specific past decision, so the advice is falsifiable against a real track record instead of sounding generically plausible. The system closes the loop too: when a recommendation plays out in real life, the outcome becomes new grounding data, so Chronicle's advice literally gets better calibrated to that one person over time. The MVP scopes this to career decisions for the hackathon demo, but the architecture — orchestration, specialist dispatch, and a growing personal decision record — is domain-agnostic by design.

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dijin_dominic

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