Remote review and focused consultation.
Written intake, clear scope and anonymized material. Deliverables include written memoranda, annotated transcripts, risk matrices, framing reviews and language recommendations.
AI Dialogue Risk Review
A structured review for AI dialogue records, test transcripts, chatbot flows or response sets. The review looks for patterns that may produce misunderstanding, misplaced trust, authority confusion, affective dependence, unsafe framing or progressive semantic drift.
Response Framing Review
This review examines how responses handle authority, uncertainty, empathy, boundaries, advice, confirmation and responsibility. It is useful when a response appears fluent but may still encourage overtrust, reduce verification or place the system in the wrong role.
Semantic Integrity Review
This review examines how meaning moves across language, culture, translation, tone and context. It is suited to cross language AI output, bilingual content, risk sensitive translation and communication where small wording shifts can affect responsibility or trust.
Psychological Safety Risk Review in AI Dialogue
This review focuses on tone escalation, excessive reassurance, role slippage, affective outsourcing, weakened verification, self narrative stabilization and judgment transfer. The work stays within context observation and interaction analysis.
AI Judgment Training
A practical training format for nontechnical users, creators, educators and small teams. The focus is question definition, tool choice, output verification, error recognition, human system division of labor and use boundaries.
Research and Product Consultation
Focused consultation for AI literacy, HCI, AI safety, user research, education technology and long term human and AI interaction. Topics may include framework language, evaluation scope, report interpretation, transcript review design and user side context risk.
AI Product Lifecycle Governance Review
Review of an AI product's update and deployment process against a lifecycle governance model: version anchored review points, update grading, re validation triggers, and a governance record a third party can trace. For teams shipping GenAI or agent products that need a defensible account of who approved what.