Omega is an adaptive context and execution layer for high-stakes operations. It ingests fragmented information from sources such as email, Slack, CRM, project documents, and incident systems, then reconciles conflicting or stale information into a frozen, cited, point-in-time snapshot. Omega identifies missing inputs and operational risks before execution, produces reviewable work products, and evaluates the quality of each run. When it makes a mistake, it proposes changes to its own retrieval and reconciliation policies, replays the new harness against ground-truth cases, and only promotes changes that improve performance without regressions. MongoDB Atlas powers the system’s persistent memory, versioned evidence, evaluation history, harness versions, and replay workflow.
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