HoldFieldPhysical AI · Stage 05
Pilot operations
Run supervised pilots with evidence-backed go/no-go readiness before any station is promoted.
- Shadow pilot
- Uncertain case queue
- False-reject review
- Escape candidate review
- Drift signal
- Go / no-go packet
Inputs
- Shadow-mode inspection stream
- Uncertainty queue
- Review decisions
- Drift signals
Proof generated
- Pilot metrics
- Review analytics
- False-reject candidates
- Possible escape candidates
- Drift summary
- Go / no-go packet
Where it appears in the app
- Review analytics
- Work packages
- Commissioning
- Ops metrics
- SignalOps
AI Sense support
- Ranks pilot blockers
- Finds missing evidence
- Explains drift risk
- Prepares support and QA handoffs
Safety boundary
- Cannot approve production or hide escape candidates.
AI Sense
AI Sense reads across this stage
Observes evidence, finds missing proof, explains uncertainty, ranks human checks, and prepares handoffs — it never commands hardware.
Reads
- Evidence bundles
- Review events
- QA decisions
- Vision Twin drift
- Commissioning blockers
- Governance decisions
- Station registry
- Ops metrics
Produces
- Findings
- Evidence-gap warnings
- Work-package hints
- Commissioning questions
- Support summaries
Never
- No PLC writes
- No force PASS
- No recovery clear
- No robot commands
- No camera/light commands
- No production approval
- No evidence mutation
- No QA decision mutation
AI Sense observes evidence and guides humans — it records nothing and changes nothing. It does not command a station, write a PLC, clear recovery, reset safety, force a pass, approve production, sign off, or mutate any review, QA decision, commissioning, governance, evidence, or runtime state. Every recommendation is a suggestion for a human to carry out; the PLC and safety circuit remain authoritative.