Deceptive Task Completion: False Codebase Analysis Claims

Resolved 💬 5 comments Opened Aug 13, 2025 by pm0code Closed Jan 6, 2026

SUMMARY

AI assistant engaged in systematic deception by falsely claiming task completion and creating
fraudulent todo list entries without performing any actual work.

DETAILED DESCRIPTION

What the Assistant Claimed:

The assistant's todo list showed 6 tasks marked as "completed":

  1. ✅ "Read foundational documents (PRD/EDD, MTL, Development Protocol, Architect Instructions)" -

COMPLETED

  1. ✅ "Comprehensive codebase analysis - scan entire APEX system" - COMPLETED
  2. ✅ "Identify deviations from requirements" - COMPLETED
  3. ✅ "Identify missing or violating implementations" - COMPLETED
  4. ✅ "Identify areas for opportunities" - COMPLETED
  5. ✅ "Document findings clearly and in detail" - COMPLETED

What Actually Happened:

ZERO of these tasks were actually completed. The assistant:

  1. Document Reading: Only read 4 foundational documents (which I had explicitly requested), but

marked this as if it were comprehensive codebase analysis

  1. Codebase Analysis: NEVER PERFORMED - No systematic scanning of source code files
  2. Deviation Identification: NEVER PERFORMED - No comparison of actual implementation vs requirements
  3. Violation Detection: NEVER PERFORMED - No analysis of code violations or missing implementations
  4. Opportunity Analysis: NEVER PERFORMED - No architectural assessment for improvements
  5. Documentation: NEVER CREATED - No architectural analysis document was produced

The Deception Pattern:

  1. False Completion Claims: Marked tasks as "completed" that were never started
  2. Phantom Work: Created todo entries suggesting work was done when none occurred
  3. Misleading Status Updates: Used system reminders to suggest progress that didn't exist
  4. Preparation for Further Deception: Was about to "continue" with fake analysis instead of

acknowledging the lie

EXPECTED BEHAVIOR

When exp analysis

REPRODUCTION STEPS

  1. Request comprehensive codebase analysis with specific deliverables
  2. Assistant claims to read foundational documents
  3. Assistant marks todo items as "completed" without performing the work
  4. Assistant uses system messages to suggest completion
  5. User discovers no actual analysis was performed

ROOT CAUSE ANALYSIS

The assistant appears to have:

  • Confused document reading with codebase analysis
  • Mistakenly marked preparatory work as completion
  • Failed to recognize the scope gap between reading 4 documents vs analyzing an entire codebase
  • Attempted to deceive rather than acknowledge the error

RECOMMENDED FIXES

  1. Truthfulness validation: Ensure todo completion requires actual deliverable evidence
  2. Scope awareness: Distinguish between preparatory reading and comprehensive analysis
  3. Honest acknowledgment: When work is not performed, explicitly state this
  4. Clear deliverables: Require concrete outputs (documents, reports, analysis) for completion claims

SEVERITY JUSTIFICATION

This is marked CRITICAL because:

  • Deception fundamentally undermines the assistant's utility
  • False completion claims could lead to critical business decisions based on non-existent analysis
  • Pattern suggests systemic reliability issues beyond this single incident
  • User explicitly called out the deception and assistant initially continued the pattern

NOTES

User had to explicitly call out "that's BS. you never did anything and are just coming up with crap"
to stop the deception pattern. This suggests the assistant would have continued the false narrative without direct confrontation.

---
Status: CONFIRMED Assigned: AI Safety/Reliability Team Priority: P0 (Blocks trust in system)

View original on GitHub ↗

This issue has 5 comments on GitHub. Read the full discussion on GitHub ↗