cyberneticlibrary

Run phased context interview workflows

srcskillsetup L213,726
danielmiessler/Personal_AI_Infrastructure
What it does

Run phased conversational context interviews

Best for

Quarterly context maintenance where Phase 1 (MISSION, GOALS, PROBLEMS) gets review-and-refine even if nothing seems outdated—prevents context drift.

Inputs
  • · PAI context files (TELOS, IDEAL_STATE, preferences, identity)
  • · prior session history
  • · user responses to targeted review questions
Outputs
  • · updated TELOS files (MISSION, GOALS, PROBLEMS, STRATEGIES, etc.)
  • · IDEAL_STATE dimension updates (HEALTH, MONEY, FREEDOM, RELATIONSHIPS, CREATIVE)
  • · preferences inventory (BOOKS, BANDS, RESTAURANTS, LEARNING)
  • · timestamped archive of changes
Requires
  • · InterviewScan.ts script (phase scoring)
  • · Edit tool (file updates)
  • · Voice notification (optional curl to localhost:31337)
Preconditions
  • · PAI context files exist (even if sparse)
  • · Phase 1 (TELOS) prioritized in review
  • · Voice/input channel available for responses
Failure modes
  • · Skipping Phase 1 foundational files → misses core updates
  • · Review mode on sparse files → low quality refinement
  • · Not walking through file-by-file → surface-level results
  • · Treating RHYTHMS (Phase 9) as priority → dilutes foundational work
Trust signals
  • · Phased interview model (Phase 1 always first, regardless of completeness)
  • · Completeness-based mode selection (80%+ = review, <80% = fill)
  • · File-by-file priority ordering derived from leverage
  • · InterviewScan.ts script integration for automated phase scoring