Use AI with judgment. These articles cover hallucinations, verification workflows, and knowing when AI is the wrong tool for the job.
6 articles
When AI conversations derail—through misunderstandings, context loss, or accumulated errors—you need systematic recovery techniques. The Recovery Playbook provides methods to reset conversations and get back to productive work.
AI is powerful but not universally appropriate. Some project management tasks require human judgment, relationship skills, or confidentiality that AI cannot provide. Know when to use AI and when to use your own brain.
AI errors look exactly like AI correct answers—confident, well-formatted, plausible. The Three-Question Test provides a simple framework for verifying AI outputs before acting on them.
When you work on multiple projects with AI, details bleed between conversations. Proper context isolation and explicit context setting prevent AI from confusing your projects and giving you wrong information.
When AI responds with generic hedging instead of concrete advice, the problem is usually your prompt. Learn to structure questions that demand specific, actionable responses rather than safe generalities.
AI presents fabricated information with the same confidence as verified facts. Learn to recognize hallucination patterns, implement verification workflows, and structure prompts that reduce the likelihood of AI making things up.