01 / EXECUTION
Agents do the work
An agent changes code or artifacts and reports completion. Its claim is an input, not the final authority.
Independent clearance for autonomous systems
Agents can finish the work.
Who clears the claim?
As AI systems gain the capacity to act independently, the authority to accept their work should not rest solely with the systems performing it.
ClaraGate is building an independent clearance layer for autonomous systems—starting with verifiable completion claims in coding-agent workflows.
Working technical alpha · Broader governance infrastructure is the vision, not a shipped capability
The Self-Attestation Void
A completion claim is not a clearance decision.
Even a capable, well-intentioned agent can be wrong about whether its work satisfies the required conditions. Generating work, presenting evidence, and authorizing acceptance are different functions. ClaraGate begins by making that boundary explicit.
02 / EVIDENCE
Verification has a basis
A designated runner evaluates the work against explicit, frozen conditions. A passing result is evidence within that scope—not a proof of universal correctness.
03 / CLEARANCE
Acceptance is separately decided
An independent clearance boundary determines whether the designated evidence is admissible and sufficient under the applicable rules, or withholds clearance.
The governing principle
Capability to act is not the same as authority to declare the action complete.
Independent clearance is about contestable evidence and bounded authority—not assuming agents are deceptive, and not replacing every human decision.
The larger ClaraGate vision
Autonomy should scale with evidence and authority—not just model capability.
Today's completion-clearance work is a first proving ground for a broader governability layer: one in which autonomous systems can earn, retain, lose, and recover permission to act under explicit, independently evaluated conditions.
NOW · TECHNICAL ALPHA
Independent completion clearance
Evaluate coding-agent completion claims against a frozen verification basis, with a separately accountable clearance outcome.
NEXT · RESEARCH & VALIDATION
Evidence-aware governance
Explore stronger evidence-quality diagnostics, policy-defined escalation, and clearer paths for withholding, remediation, and re-evaluation.
LONG TERM · ARCHITECTURAL DIRECTION
Governable agent autonomy
Work toward portable clearance and selective autonomy controls across models, tools, and agent environments, with human authority where it matters.
These stages express product direction, not committed release dates or capabilities demonstrated by the current alpha.
Private developer alpha
A real starting point. An open question for the market.
The current alpha is an early technical implementation of the clearance boundary for coding-agent workflows. It is designed for hands-on evaluation of the mechanism, its limitations, and the developer problems it may solve.
Alpha access and evaluation materials are shared directly with invited developers.
Frozen verification basis
Establish the designated conditions against which a completion claim will be judged.
Independent verification and clearance
Separate the agent's assertion from the evidence and decision used to accept or withhold completion.
Inspectability and reproducibility
Make the clearance basis and supporting results available for review and challenge within the alpha's defined scope.
Explicit limits
Not a guarantee of bug-free code, production security, comprehensive test quality, or universal model and framework compatibility.
Why this matters
More agent output should not mean more uncontested acceptance.
As autonomous work grows, human review and existing testing infrastructure face new demands. ClaraGate's hypothesis is that a separate, inspectable clearance boundary can help teams decide what evidence is sufficient, what needs escalation, and what should not yet proceed.
The immediate task is to test that hypothesis with developers—not to claim the future has already arrived.