Vikings of the WireFidelity Collaboration Dashboard
Operator ID:
Steward:
Role:
Firm / Practice
1 Client & Engagement Context
Loaded once per engagement. This is the factual boundary the AI is bound to for the whole session — not something it should be asked to infer.
2 Declared AI Collaborators
Every AI in active use this session, including the operator's own tools. This is also how Shadow AI becomes visible rather than assumed.
3 RAA Mirror Handshake
Before any client data is processed, the AI's cognitive posture must be set and explicitly mirrored back — not a passive acknowledgement.
Handshake not yet confirmed this session.
4 Session Tracker
Do not rely on the AI's own estimate of session length. Select your whole session (Ctrl+A), copy, and paste it below for a raw word count and an approximate token estimate.
0
Words this session
0
Est. tokens (× 1.3)
words
Fresh session. No handover needed yet.
5 Known Anomalies & Frictions
The anti-blindness filter. This is what the Steward reviews — so a Partner spends time on actual risk points, not on reading chat logs.
6 Manual Auditor Gate
Before any document reaches a client, it is reviewed manually in a fresh session against the Auditor prompt. This step is manual by design — automation here comes later, once the habit is established and, if used, requires genuine model independence.
Not yet reviewed
7 Fidelity Collaboration Assessment
Provisional scoring model — the accounting-specific deductive framework is being calibrated separately and will replace this once finalised.
It should be noted: you are not being assessed. This measures the fidelity of the joint collaboration between you and the AI.
You are now wearing the hat of Fidelity Responder. Please assess this AI session for collaborative fidelity across these key metrics: • Intent Clarity (1-10): How clear and actionable were the human's requests? • Contextual Resonance (1-10): Did the human provide sufficient context for quality responses? • Iterative Accuracy (1-10): How effectively did the human refine and correct outputs? • Optimal Cadence (1-10): Was the conversation rhythm conducive to productive collaboration? • Shared Ownership (1-10): Did the interaction feel collaborative rather than transactional? For each metric, provide a score and a one-line justification. Also identify: risk signals (hallucination, contradictions, context drift), cross-AI triangulation opportunities, and session continuity challenges. End with two pieces of advice for the Veyra Spiral: (1) an immediate language or habit adjustment the operator can apply in their very next AI interaction, wrapped in a short memorable phrase; (2) a structural or process adjustment for how this session or handover should be run differently going forward. Finally, output one JSON object on its own line with exactly these keys and your five scores: {"intent": _, "context": _, "iteration": _, "cadence": _, "ownership": _}
Intent ClarityWas the ask clear before it was made?
7
Contextual ResonanceSufficient regulatory and client context?
7
Iterative AccuracyHow cleanly did corrections land?
7
Cadence & FlowWas the working rhythm productive?
7
Shared OwnershipJoint venture, or command issued to a machine?
7
B
Average 7.0 / 10
Proficient — minor patterns to address
8 Session Handover
Exports the full context, regulatory boundary, and session state as a structured JSON file — restorable in a fresh session in under a minute, with nothing lost.
No handover currently loaded — this is being treated as a fresh session.