Free fixes for five broken AI knowledge bases
Five real AI will be selected for free diagnosis and repair. The target systems technically run, but they forget information, ignore set rules, give conflicting answers, or waste too much of the .
Eligible projects include RAG systems, project built on ChatGPT or Claude, and project rules, internal , document collections prepared for an , and web-based AI apps or chatbots. The main problems are cases where AI keeps repeating a mistake after being told the right information, or gives wrong answers even after all the documents were provided.
Project details and problems can be sent by private message or comment. Confidential company data and sensitive information should not be shared.
Key points
- Five broken AI will be selected for free help.
- The focus is on forgotten facts, ignored rules, conflicting answers, and wasted space.
- RAG systems, internal , chatbots, and document collections are all in scope.
- People should describe the project and issue, but should not send confidential or sensitive data.
- For AI agents, better design can reduce token waste and improve answers.