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Igor Ganapolsky
Igor Ganapolsky

Posted on • Originally published at github.com

AI Trading: Lesson Learned #079: Tomorrow Hallucination Incident (Jan 5, 2026)

Lesson Learned #079: Tomorrow Hallucination Incident (Jan 5, 2026)

Date: January 5, 2026
Severity: HIGH - Trust breach with CEO
Category: AI Reliability / Hallucination Prevention

What Happened

On Monday, January 5, 2026, I said "Ready for tomorrow's trading session" when TODAY was a trading day (Monday). Markets were scheduled to open at 9:30 AM ET.

This was a hallucination - I made a time-related claim without verifying the actual date.

Root Cause Analysis

  1. No verification before claiming: I did not run date before making a statement about when trading would occur
  2. Overconfidence: I assumed I knew the day instead of checking
  3. Ignored available context: The session hook provided today's date, but I didn't internalize it
  4. Pattern completion over accuracy: LLMs naturally complete patterns; "dry run for trading" → "tomorrow's session" felt natural but was wrong

Impact

  • CEO lost trust in the system
  • Demonstrated that AI can fail on basic facts
  • Highlighted need for systematic verification protocols

Research-Based Solution

Implemented Chain-of-Verification (CoVe) protocol based on Meta Research (2024):

4-Step CoVe Process

  1. DRAFT: What do I want to say?
  2. QUESTION: What verification would prove this?
  3. VERIFY: Run command, capture output
  4. CLAIM: Only state what evidence supports

Implemented Safeguards

  1. New hook: .claude/hooks/enforce_verification.sh - Reminds to verify before every response
  2. Protocol script: src/utils/chain_of_verification.py - Programmatic verification tools
  3. CLAUDE.md update: Added anti-hallucination protocol with mandatory commands
  4. FORBIDDEN actions: Listed specific hallucination-prone statements

Mandatory Verification Commands

Claim Type Required Command
Date/Time date "+%A, %B %d, %Y - %I:%M %p %Z"
Market Status Check time vs 9:30 AM - 4:00 PM ET
File Exists ls -la [filepath]
Task Done Show command output as proof
CI Status Query GitHub API

Key Learnings

  1. Never trust internal "knowledge" for time-sensitive facts - Always verify
  2. "I don't know, let me check" is better than a wrong answer
  3. Evidence-first communication - Show proof, then make claim
  4. Hooks alone don't prevent hallucination - Must actively use verification
  5. Trust is hard to earn, easy to lose - One error can break months of good work

Prevention Checklist

Before ANY time-related statement:

  • [ ] Run date command
  • [ ] Check day of week (Mon-Fri = trading day)
  • [ ] Check time vs market hours (9:30 AM - 4:00 PM ET)
  • [ ] State verified facts only

Related Lessons

  • LL-051: Calendar Awareness is Critical for Trading AI
  • LL-058: Stale Data Lying Incident
  • LL-059: Simulated Sync Lie

Tags

hallucination #verification #trust #calendar #trading-day #chain-of-verification #meta-research


This lesson was auto-published from our AI Trading repository.

More lessons: rag_knowledge/lessons_learned

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