The Demo Trap: How to See Through Polished Pitches

AI product demos: how to spot misleading tech demo traps and see through polished pitches Unique breakdown of AI demo tricks, fake AI automation, golden path demos, data leakage in AI, and hidden preprocessing in tech demos Learn how to evaluate AI tools with confidence, expose misleading demos, and avoid expensive, hype-driven decisions

What You'll Learn:

• Recognize the five most common AI product demo traps, including golden path scripting, data leakage, hidden preprocessing, human-in-the-loop “automation,” and selective metrics
• Ask high-leverage questions that quickly reveal when an AI tool relies on cherry‑picked data, special hardware, or unrealistic demo conditions
• Spot golden path demos and stress‑test them by changing inputs, workflows, and edge cases that reflect your real environment
• Identify signs of data leakage in AI demos and learn what to ask about training data, test data, and production‑like evaluation
• Uncover hidden preprocessing and behind-the-scenes manual work that make “instant” AI results look smoother than they’ll ever be in production
• Differentiate genuine AI automation from fake AI automation propped up by humans in the loop, outsourcing, or one-off scripting
• Evaluate metrics presented in demos—latency, accuracy, cost, and scalability—so you can separate marketing spin from hard operational reality
• Turn insights into action by capturing key points in writing, mapping them to one live initiative, and taking one concrete step this week to de-risk your next AI purchase