Verification Ratio
Is checking the answer cheaper than producing it?
Deciding
Operate →INSTRUMENTS
Each instrument turns an AI-quality decision into an explicit input, a defensible result and a reusable record. Live instruments can be operated now; the rest are mapped to the delivery sequence.
NEW · WORKED EXAMPLESEvery live instrument here takes real inputs and runs real logic. Read a worked wind-sector case for each of the 17 live instruments — inputs filled in, the actual computed result, and what to notice.
Open worked examples →Is checking the answer cheaper than producing it?
Deciding
Operate →Where does each use case sit, and is the portfolio a trap?
Deciding
Operate →Can a competent reviewer verify a finding in half a minute?
Deciding
Operate →What level of control does this use case require?
Deciding
Operate →Is the evidence foundation ready for a controlled AI use case?
Building
Operate →Do reviewers and the system agree on the same cases?
Validation
Operate →How often can a clean sample hide a failing class?
Validation
Operate →Does the tool fail safely on known difficult cases?
Validation
Operate →What known-correct cases will prove the intended use?
Validation
Operate →Is there enough evidence to restrict, pilot, release, or stop?
Validation
Operate →What connects this decision to its evidence, controls, and lessons learned?
Applying
Operate →Where should this capability operate in the product lifecycle?
Applying
Operate →What exact configuration was reviewed and accepted?
Applying
Operate →Will the control survive real operational change?
Applying
Operate →What capability exists today, and what should be built next?
Capability
Operate →What is the next evidence-backed action?
Capability
Operate →What decisions must remain human and signed?
Capability
Operate →How do teams build and demonstrate competence?
Capability
Operate →