Keep the objective intact.
Carry decisions, dependencies, and constraints forward when work changes hands.
Atlas · Coordinated Intelligence System · in development
Atlas coordinates AI coding agents from different providers on its own codebase today. Every change that merges is reviewed by a separate agent and tested in CI.
Example animation. A product demo is planned.
You ask for a change. Atlas plans it, builders do the work, a reviewer checks it, and, depending on the authority mode, it comes back to you to accept or Atlas merges it once every check passes.
Getting an answer is easier than getting an outcome.
Modern teams can access many capable models, agents, and tools. But the objective, constraints, permissions, reviews, and proof of completion often remain fragmented between them.Carry decisions, dependencies, and constraints forward when work changes hands.
Coordinate within explicit permissions, resource limits, and escalation rules.
Inspect artifacts, checks, failures, and what the work actually produced.
AI-assisted software delivery.
Software work produces artifacts and tests that allow us to distinguish a convincing completion claim from a verified outcome. Atlas’s proposed first workflow is coordinating implementation, independent review, repair, and acceptance against bounded requirements.
This is a proposed first commercial focus, not evidence of customers, commercial adoption, or general-purpose autonomy.
Model-neutral doesn't mean every model is equal. It means choosing contributors for the task, constraints, cost, and observed results—not assuming one provider must fit every problem.
Atlas is open to research collaborations, startup programs, early users and investor conversations.
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