The Three Questions That Reveal If an AI Claim Is Real

AI hype vs reality: how to fact check AI claims with a 3‑question credibility test guide A simple, three-step AI credibility test to cut through AI hype, AI myths, and AI misinformation using real-world benchmarks and skepticism Listen to confidently evaluate AI tools and understand AI claims so you can spot red flags, avoid scams, and make smarter technology decisions

What You'll Learn:

• Use a three-question AI credibility test to quickly separate plausible AI claims from pure hype
• Apply the Data & Domain Fit test to check whether an AI system’s training data truly matches the real-world task it promises to solve
• Evaluate AI evidence and benchmarks so you can tell the difference between marketing slides and meaningful, third‑party or peer‑reviewed results
• Assess cost, constraints, and trade‑offs to see whether an AI claim can realistically work at scale in your context
• Spot common AI myths and misconceptions that often hide behind buzzwords like ‘AGI’, ‘human-level’, or ‘state-of-the-art’
• Build healthy AI skepticism without becoming cynical, so you stay open to real innovation while avoiding misinformation
• Identify one concrete area in your work or life where this 3-question filter can protect you from bad AI decisions
• Turn insight into action by choosing one small step this week to apply the AI credibility test to a tool, pitch, or headline you’re considering