G‑14 Research

Research for proof-carrying agentic control.

G‑14 research starts from one evidence problem: when autonomous AI action, communication, or scientific reconstruction is challenged, the reviewer needs more than the system account of what happened.

Evidence boundary Evidence boundary
01

Self-reported logs are not enough

Dashboards and internal audit trails help operators, but a serious reviewer needs evidence that can survive outside the system being challenged.

Evidence independence
02

Communication can be certifiable

When agent collectives reconstruct evidence or exchange scientific claims, the communication path needs proceed, repair, reject, and witness states.

Semantic receipts
03

Action is the compliance boundary

Tool calls, data writes, deployments, robot commands, workflow approvals, and scientific reliance need evidence at runtime, not only after-the-fact review.

Runtime admission
04

Physical and digital workflows share one boundary

TargetLock checks robot action before effect. The same external control model checks enterprise actions and agent-derived conclusions before release or reliance.

Cross-domain control
Failure modeBetter dashboards do not solve a broken evidence channel.
Read the verify guide
What is being proved?The action, communication, or conclusion path

The verifier should bind the proposal, evidence, repair path, decision, and outcome boundary.

Who can inspect it?Reviewer outside the dashboard

The record has to be useful to customers, auditors, insurers, regulators, operators, and incident responders.

Where does proof stop?At the declared evidence boundary

Each packet states what its evidence supports, which checks ran, and what remains outside the verified boundary.

Why now?AI is acting through tools

Agentic systems now call APIs, write data, trigger workflows, move machines, and shape scientific reliance.

What the research enables

Make consequential decisions independently checkable.

Bind each decision to its policy, evidence, repair path, and outcome so a reviewer can reproduce the check without trusting the system that made the decision.

Runtime admissionCheck policy, authority, and evidence before consequential actions or conclusions are released.
Repairable decisionsReturn proceed, re-query, repair, or reject-with-witness instead of collapsing uncertainty into allow or deny.
Portable proof packetsBind the request, claim, policy context, decision, repair path, effect, and evidence for independent review.
Cross-domain verificationApply the same external boundary to robot action, enterprise tools, and agent-derived conclusions.

Evaluation path

Use the research to evaluate one proof-bearing workflow.

Start with the evidence problem, inspect the proof model, then choose one action or communication path where a receipt has to survive outside the UI.

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