AI is lying to you
0:00 The Hallucination Problem Nobody's Talking About
0:31 Why Most People Never Catch the Errors
0:56 The Fix: Better Prompts from the Start
Everyone says newer AI models are getting more accurate.
A company called Vectara tested them all in May 2026. every single one
hallucinated more than 10% of the time. And newer models are making it
worse, not better.
🔍 Why Newer Models Are Actually More Dangerous
• Chain-of-thought reasoning means small errors compound across long chains
• The output sounds like a Harvard paper and cites sources that don't exist
• Most people never catch it — it reads confident and authoritative
• You're paying more for longer reasoning that's getting things wrong more often
If you've ever used an AI response without verifying it, there's a real
chance it made something up. Start catching it before it costs you.
💸 The Hidden Cost Problem
1. The longer your conversation runs, the more you pay per response
2. Context windows fill up — AI starts forgetting what you said at the start
3. Hallucinations increase as the model tries to fill gaps it can't remember
4. Both problems share the same root cause: a weak prompt from the start
Track what you're spending on AI responses and compare it to output quality.
You'll find the correlation fast.
🛠 The Fix: Right Context from the Start
• Better prompts mean AI doesn't have to fill gaps with fabrications
• You stop paying to repeat yourself across long conversations
• AI stops forgetting context it never had in the first place
Stop building agents and workflows on bad prompts.
1
0 comments
AI is lying to you
powered by
skool.com/automation-nation-1802
Worldwide community of AI Builders. 🤖 Master no-code automation, reclaim your time, and build a future-proof workflow.
Suggested communities
Powered by