Assess the station record
Review available measurements, identify missing or conflicting inputs, and retain the company's original Pass/Fail result alongside the analysis.
View the CP case studyCathodic protection / Asset integrity
Organize station readings, surface incomplete or conflicting evidence, and prioritize specialist review. The workflow combines a documented scoring rubric with advisory AI while preserving the source records behind each finding.
Pilot review frameworkReview framework awaiting specialist approval
CP review workflow
A consistent process for inspecting evidence, documenting priorities, and directing specialist attention.
Review available measurements, identify missing or conflicting inputs, and retain the company's original Pass/Fail result alongside the analysis.
View the CP case studyKeep the condition grade, advisory urgency, and evidence flags visible. Document the rule and source behind each finding for specialist review.
Review the methodSee how a frontier orchestrator prepares Jev's decisions, how the workflow is validated, and how published API prices affect the operating budget.
Structured CP review
TypeSafe Jev provides typed decisions with probabilities and confidence. In this project, it gave each de-identified record an advisory review-urgency score while keeping its answer distribution available for inspection.
That fits repeatable triage well. A frontier API model in a Codex-style agent workflow can organize the work and explain the results; deterministic code owns the rubric; Jev handles a narrowly defined decision across many records. A fine-tuned model running locally could join a future version of this stack after its own evaluation on approved data.
TypeSafe's own published workflow evaluations report strong speed and accuracy for this kind of structured decision. We have not measured a CP-specific speedup or validated Jev's urgency against specialist-labeled station outcomes.
CP pilot findings
A transparent draft rubric and review queue for cathodic protection data, built from a supplied workbook and a CP3's explanation of the measurements.
Traceable review: the draft separates a calculated condition grade from the company's original Pass/Fail result, and shows where a specialist needs to resolve missing or conflicting evidence. These are aggregate project figures; station-level records are shared privately.
The proposed CP rubric
A CP3's column explanation supplies the measurement meanings and the −850 mV and 100 mV reference points. The factor weights and A–F bands are our proposed review framework, ready for specialist calibration and approval.
| Factor | Weight |
|---|---|
| Instant-off potential | 35% |
| Polarization decay | 25% |
| Isolation status | 15% |
| Current adequacy | 10% |
| On-potential consistency | 5% |
| IR contribution | 5% |
| Resistance peer consistency | 5% |
| Grade | Score |
|---|---|
| A | 80–100 |
| B | 60–<80 |
| C | 40–<60 |
| D | 20–<40 |
| F | 0–<20 |
At a boundary, the score enters the higher grade: 20 is D, 40 is C, 60 is B, and 80 is A. Missing core evidence is Unscored, never an automatic F.
How this guides review: eligible rows can be sorted from lowest condition score upward; the factor detail shows which weighted inputs pulled a score down. Unscored or conflicting records stay in a separate review queue. The company's original Pass/Fail remains visible, while Jev's urgency is a separate advisory signal for when a specialist should look.
Interactive browser demo
Load fictional station records, change a reading, and see the draft score, evidence coverage, and explanation update.
Open your own normalized CSV locally, record review notes, and download results. Files stay in your browser. This version calculates the condition rubric; live Jev urgency and the full XLSX workflow remain in the local application.
Shared project knowledge
Browse the measurement workflow, provisional rubric, review requirements, decisions, and lessons learned in one searchable reference.
Open the wiki in your browser or download an editable copy for the team. Proposed rules and unresolved questions remain clearly marked for specialist review.
Built for CP teams
The proposed platform connects CP survey records with documented evaluation criteria, customer procedures, and a specialist review queue.
Implementation is scoped around the customer's data, approved rules, reporting needs, and privacy requirements. The current pilot provides a concrete basis for validating the workflow before operational use.
Specialist validation
The CP framework is a draft for engineering review. The rubric, source questions, and toolchain are documented here so a specialist can challenge the assumptions and shape the final version.