Proposal boundary
Models, agents, tools, robots, and scientific workflows submit typed proposals or claim records before anything of consequence happens.
G‑14 Platform
Proof-carrying control for AI.
G‑14 gives AI systems an external admission boundary: check evidence, gate the action or conclusion, require repair when needed, and issue an auditable receipt for every consequential decision.
Admission chain Receipt bound
Evidence and authority check
The platform evaluates policy, source constraints, confidence, freshness, custody, release authority, and repair requirements.
Admission decision
G‑14 can proceed, hold, correct, re-query, reject, or release through a configured effect or communication channel.
Proof-bearing record
Receipts bind proposal, decision, evidence, repair path, timing, outcome, and verifier boundary for later review.
Deployment ladderReplay, shadow, assist, then control.
Review proof model Run history through the boundary. See what would have been admitted, held, or blocked, with zero production risk.
Evaluate live proposals in parallel without acting. Compare decisions against what actually happened.
Decisions reach named owners with evidence attached. Humans release; the boundary prepares and records.
Bounded automatic release inside an explicit permit envelope, with hold and block always available.
Where the same platform applies
One proof-carrying control pattern across action and communication.
TargetLock proves the pattern around physical AI. The same pattern governs agent communication, scientific reconstruction, and enterprise actions that require admissibility before reliance.
See how your AI connectsRobot commands, AMR routes, humanoid manipulation, industrial-cell actions, and shared-zone entry.
TargetLock proof receiptsAgent communication, reconstruction, claim repair, witnessable rejection, and evidence-backed conclusions.
Semantic receiptsTool calls, data writes, approval workflows, deployments, customer-impacting decisions, and evidence exports.
Action receiptsVerification standardMaterial results remain attached to evidence a reviewer can inspect.
Read the verify guide G‑14 is designed to sit around customer AI systems, not replace the foundation model or agent stack.
Every material result is bound to a receipt, packet, or artifact a reviewer can inspect.
Physical action and agent communication use the same pattern: evidence, gate, witness, proof.
Standards language describes evidence mappings and readiness posture. It does not claim completed certification unless separately documented.
Evaluation path
Prove it on one workflow before you standardize on it.
A useful platform review begins with one action or communication path: what can be proposed, what evidence is required, what must be repaired or blocked, and what proof must survive outside the UI.