Institutional reasoning across every evidence layer.
Reconcile saved scope and economics work, interrogate your private documents, visual evidence and meeting transcripts, test assumptions against current external evidence, expose the binding constraint, and issue a controlled recommendation—with every consequential action kept in your hands.
Get more useful decision support
Give the Agent a defined question, relevant projects, private evidence, and a clear boundary for the decision. It can examine owner-scoped files and current sources while consequential decisions remain yours.
Frame a question with constraints
State the decision, objective, alternatives, deadline, and constraints on time, budget, or risk. Distinguish known facts, management assumptions, private-document or visual-evidence statements, external evidence, and inference. Include only information and documents you are authorized to share.
Connect projects and private evidence
Identify the saved MVP scope, SaaS economics model, or private document or visual evidence set that should be examined. Ask the Agent to reconcile what the operating model calculates with what the documents actually claim, and to identify conflicts or missing evidence before resources are committed.
Check sources before acting
Review the private file citations and external URLs supporting a conclusion. Look for unsupported assumptions, stale evidence, missing alternatives, or confidence that exceeds the source quality. AI-generated analysis can be incomplete or incorrect; verify consequential claims against the underlying records and appropriate professional expertise.