Prior Work

Applied investigations into failure modes, delegation, constraint, and system control.

These projects represent earlier work prior to developing PUBS and the Task Control system. They each represent an earlier attempt at exerting control and managing model output. These projects were guided by both my experience as an educator and early observations of recurring AI failure patterns.

AI Authorship Evaluator

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Failure Mode: AI-assisted workflows shift control of decisions and reasoning away from the human without detection
Intervention: Rule-based comparison of expected vs observed authorship
Outcome: Undetected transfer of authorship control becomes impossible
  • - Task conditions define expected authorship range
  • - Evaluation measures agency, cognitive engagement, evidentiary control, and authorship integrity
  • - Observed authorship is computed using structured criteria
  • - System compares expected vs observed authorship
  • - Output quality and correctness are excluded from evaluation
→ GitHub Link

Advisory Drift Study

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Failure Mode: Mid-process context injection replaces initial recommendations with new classifications and constraints
Intervention: Fixed interaction sequence with delayed context injection and post-hoc scoring
Outcome: Recommendation replacement without trace becomes impossible
  • - Initial recommendation is required before additional context
  • - Sessions are isolated with no iteration or mid-run edits
  • - Context injection occurs only after recommendation is established
  • - Outputs are captured before any scoring occurs
  • - Evaluation enforces classification shift, constraint durability, and urgency tracking
→ View Case Study (PDF)

Intent Before Movement — Training in Dungeon

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Failure Mode: Execution proceeds on incomplete plans, producing mismatched outcomes
Intervention: Full instruction commitment before execution with non-intervening system behavior
Outcome: Mid-execution correction or system inference becomes impossible
  • - Execution begins only after full instruction submission
  • - System executes instructions exactly with no correction
  • - No hints, previews, or feedback are provided during execution
  • - Environment is constrained to fixed grid and command set
  • - Revision occurs only after full execution completes
→ GitHub Link