Control model
How proposals, evidence checks, repair requirements, admission decisions, and receipts compose across consequential AI workflows.
Open pathG‑14 Docs
Start with the proof model. Then inspect the stack.
The public docs path orients a serious reviewer around the control model, proof packets, research foundations, and first workflow to evaluate.
Understand the boundaryInspect the evidence pathChoose one workflowMap the receiptPlan a controlled review
Public review path Evidence first
Proof model
How action receipts, semantic receipts, and TargetLock proof receipts keep a reviewable record outside the dashboard.
Open pathResearch foundations
How proof-carrying control extends from physical AI into certifiable agent communication and scientific-agent collectives.
Open pathTargetLock application
How the same admission pattern applies to physical AI and robot action before consequence.
Open pathDocs disciplineThe public docs should reduce diligence risk, not create new claims.
Company posture The docs explain the public technology thesis without naming pending solicitations, advisors, or pre-award material.
The UI can explain the packet, but the trust claim belongs to the receipt, verifier, and retained evidence.
TargetLock remains a proof point; the company thesis is proof-carrying verification for consequential AI.
Compliance language stays tied to mapped evidence and review paths unless a completed certification exists.
Recommended order
Move from thesis to one inspectable workflow.
The fastest useful evaluation path is narrow: understand the external boundary, inspect the receipt model, then choose one real action or communication path for a controlled review.
How proposals, evidence checks, repair requirements, admission decisions, and receipts compose across consequential AI workflows.
Public review pathHow action receipts, semantic receipts, and TargetLock proof receipts keep a reviewable record outside the dashboard.
Public review pathHow proof-carrying control extends from physical AI into certifiable agent communication and scientific-agent collectives.
Public review pathHow the same admission pattern applies to physical AI and robot action before consequence.
Public review pathNext step
Turn documentation into a controlled evaluation.
G‑14 is best reviewed through one consequential workflow with explicit evidence, authority, repair, and receipt requirements.