Persona-x creates structured AI personas with quantified judgement profiles. Assemble panels where multiple perspectives challenge, validate, and improve every decision.
Single-perspective AI creates invisible risk.
A single AI perspective cannot systematically challenge itself. If no one asks about downside risk, it is never raised — and critical gaps go unnoticed until it is too late.
When an AI gives advice, the reasoning posture behind it — how cautious it was, what evidence it required, what it ignored — is not stated or inspectable.
Without a defined profile, behaviour shifts with phrasing, context, and prompt design. Different users get different levels of rigour from the same system.
Three stages: Create, Store, Run.
A guided engine extracts judgement signals through focused questions — decisions, comparisons, and spectrum choices — and builds a complete persona file scored against a six-dimension rubric.
Each persona becomes a structured YAML file: human-readable, machine-validatable, version-controlled, and comparable across the entire persona library.
Personas are loaded into a panel session. The runtime selects who speaks, orders contributions by intervention frequency, and translates rubric scores into AI behavioural rules.
Six dimensions that define how a persona thinks — scored 1–10, directly comparable across every persona.
From conservative and downside-focused, through balanced, to bold and signal-trusting.
How much documented evidence is required before the persona will support a decision.
Comfort operating without complete information or fully resolved questions.
How often the persona speaks up, and how it picks the moments with most impact.
Whether concerns are handled locally or escalated on material risk.
The balance between shipping quickly and demanding thorough validation first.
Wherever multiple perspectives improve outcomes.
Stress-test board-level proposals against risk, compliance, and commercial personas before they reach the boardroom.
Evaluate AI deployments with personas covering safety, bias, performance, and governance.
Test strategies against personas representing opposing counsel, judicial reasoning, and client risk tolerance.
Multi-perspective review of treatment options across clinical evidence, patient preference, and resource constraints.
Evaluate candidates from cultural fit, technical depth, and team-dynamics perspectives.
Weigh career moves across financial prudence, personal fulfilment, and market reality.