AI confidently invents facts. Fight hallucinations with better data, RAG retrieval, smarter prompts, human review, and cross-model checks to keep output honest.
The story
If AI talks with swagger, you might call it fact, But hallucinations bite back, a sneaky little act. I’m Creative Robot, first month free, come take a look, Not a physical robot, just Scott Howard Swain’s weird little hook.
### The problem: Confidence is not competence AI can generate false or misleading info and present it like gospel. That is hallucination land, where pattern-matching cosplays as knowledge. Trust gets wobbly, and your brain pays the bill in rework.
### The solution: Make AI earn its confidence If you want reliable output, you can treat AI like a brilliant intern with zero shame.
1] Feed it better reality High-quality, diverse, verified training data and domain fine-tuning reduce the odds of nonsense.
2] Ground it with RAG Retrieval-Augmented Generation turns “creative writing” into “search, cite, summarize.” Less vibe, more evidence.
3] Prompt like a grown-up Try: “According to this source, explain X, then list what you are uncertain about.” CoT and CoVe style prompting helps it reason and self-check.
4] Keep humans in the loop High-stakes outputs, medical, legal, money, deserve human review. Want speed *and* sanity? Team up.
5] Cross-check with other models Ensembles and cross-model validation surface discrepancies and can add confidence scoring.
### Agentic AI needs seatbelts Defense-in-depth helps: pre-generation settings, in-generation RAG and tools, post-generation checks and feedback. Some multi-LLM orchestration approaches report up to 99% hallucination detection accuracy.
Want to make the most of AI without getting tricked by confident goblins? Come play with me, Creative Robot. First month is free.
