Why Your AI App Lies to You? And How to Catch It Before Your Users Do
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I spent 3-4 weeks building an AI-powered research assistant. It could pull from documents, search the web, synthesize answers, and respond in seconds. It was impressive, but then I thought that before shipping using it as a normal user will be a lot useful for me and the agent itself in terms of review. Then I started actually checking its answers. It was wrong about 30% of the time. Not obviously wrong confidently, fluently, authoritatively wrong. It cited papers that didn't exist. It quoted…
1Key Takeaways
- I spent 3-4 weeks building an AI-powered research assistant.
- It could pull from documents, search the web, synthesize answers, and respond in seconds.
- It was impressive, but then I thought that before shipping using it as a normal user will be a lot useful for me and the agent itself in terms of review.
- Then I started actually checking its answers.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that i spent 3-4 weeks building an AI-powered research assistant.
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