Inputs
A defined purpose, participating expert, representative situations, organizational boundaries, consent, and relevant source material.
Protocol and principles
The emerging protocol brings the method together with defined materials, safeguards, human responsibilities, and review criteria. Independent application is being pursued and tested; it is not yet claimed as complete.
Protocol anatomy
A defined purpose, participating expert, representative situations, organizational boundaries, consent, and relevant source material.
Preparation, structured elicitation, classification, synthesis, expert review, correction, application, and learning from use.
Reviewed knowledge resources that preserve context, distinguish evidence from inference, and make reasoning available for an intended use.
Safeguards and operating principles
These commitments set the minimum standard for responsible implementation.
Data, AI, and human review
Who owns the expert's contribution? What will be recorded and retained? What may enter an AI system? Which environment is approved? Who may review the material? How will sensitive information be protected? Who can authorize an output for use?
AI may help ask questions, organize responses, find patterns, draft structures, and expose gaps. It cannot assume authority. Human participants establish purpose, judge relevance, protect sensitive material, resolve ambiguity, and approve what is represented as expert knowledge.
Public and professional resources
Method overview, principles, evidence boundaries, development status, introductory resources, and opportunities for careful review.
Advanced instruments, implementation materials, validation tools, facilitation, training, and partner rights may be licensed or supported professionally as they are defined.
No certification system, partner network, or formal licensing program is being announced. Such structures should be described only after their obligations, safeguards, governance, and evidence requirements are settled.
Current development
96 explores the Knowledge Harvesting questioning architecture at finer resolution: eight kinds of knowledge across twelve information types. Its question architecture, elicitation agents, orchestration, and outputs are being completed, tested, and aligned.
Independent practitioner application, consistent use, and validated output criteria have not yet been established publicly. 96 is therefore presented as active development, not as a finished or independently validated instrument.