Main question
Can this work be trusted yet?Mission Physics is designed to make that question operational.
Guidance
Mission Physics
Mission Physics is the trust and stability layer for AI execution. It helps answer whether the work is ready to trust, what evidence supports it, where pressure is rising, and what still needs a human decision.
Guide summary
Use this page to understand the surface before you act inside it.
Use Mission Physics to read trust posture, evidence strength, risk pressure, artifact readiness, and human trust signals.
Guide type
GuidanceThis guide reflects the current product workflow and surface ownership.
Sections
5Summary first, then steps, mistakes, and recovery notes.
Related guides
3Written against the current product structure and core execution workflow.
Most visible signals
Mission Stability Score / Decision Pressure MapUse them together instead of reading any one score in isolation.
Related action
Open Replay tooReplay explains what happened; Mission Physics explains how stable that work currently looks.
Guide section
What it is
Mission Physics is a premium trust layer for AI execution. It measures stability, evidence, risk, readiness, momentum, and human trust from durable run data.
When to use it
Use it during review, before shipping an artifact, after failures, or when operator disagreement needs a clearer signal.
Where to find it
Mission Physics surfaces linked to runs and replay.
What happens next
The scores and pressure items help you decide whether to continue, revise, approve, or escalate.
Common mistake
Treating a high score as permission to skip review.
Related action
Open Mission Replay alongside Mission Physics for the strongest trust read.
Guide section
Core signals
Mission Stability Score
The top-line trust posture for whether the run is stable enough to use with confidence.
Decision Pressure Map
Shows where unresolved pressure, disagreement, or review blockers still need human attention.
Evidence Strength
Measures how well claims and outcomes are supported by the run’s durable evidence posture.
Risk Pressure
Shows whether risk is increasing or unresolved inside the run.
Artifact Readiness
Helps answer whether the output is actually usable yet.
Human Trust
Reflects how much human intervention, challenge, or approval is still implied by the current posture.
Guide section
How it is influenced
- Evidence notes and stronger references tend to improve evidence strength.
- Risk flags and unresolved review challenges increase pressure.
- Finalization and packaging signals improve artifact readiness when the rest of the run is healthy.
- Approval requests indicate work that still needs human decision rather than silent trust.
Guide section
How it fits into the workflow
Mission Replay tells the story of what happened. Mission Physics tells you whether the current result looks stable enough to trust. Together they form the best explanation layer for reviewed AI work inside the product.
Does Mission Physics replace domain judgment?
No. It is an explainable operational instrument, not a substitute for human expertise or policy review.
What if data is missing?
The model should reduce certainty rather than pretending confidence exists where it does not.
Guide section
How to use it well
What it is
A decision-support layer, not a magic truth score.
When to use it
When trust, readiness, or disagreement matters to the decision.
Where to find it
Run and replay-adjacent trust surfaces.
What happens next
You decide whether to revise, approve, continue, or escalate.
Common mistake
Reading one metric without looking at replay or the underlying pressure items.
Related action
Use Mission Replay and the Run detail page as the supporting operational context.