Fitness Confidential

Trust and Verify Information - Episode 2753

Jan 23, 2026
Guest
Lee Harrington
Lee Harrington, an AI-for-health caller and practitioner, explains practical prompting strategies and verification techniques for using AI on health queries. Short takes cover how AI sources and biases affect answers. They discuss using multiple models, role-based prompts, and ways to check AI claims. The conversation also touches on lowering triglycerides and safe heart-strengthening approaches.
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INSIGHT

AI Mirrors Its Training Data

  • AI reflects its training data and will echo existing internet biases unless you steer it with context.
  • Lee Harrington warns that AI has no convictions and requires user direction to be useful.
ADVICE

Prepare Context Before Asking AI Health Questions

  • Give AI a persona and detailed context before asking health questions to get targeted answers.
  • Feed your age, medical history, and trusted authorities to the chat so outputs match your situation.
ADVICE

Cross-Check AI With Multiple Systems

  • Use multiple AI systems to compare outputs and make them debate to reveal inconsistencies.
  • Then research the suggested items yourself instead of blindly accepting single-model answers.
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