Optimizing prompts for an enterprise AI bot

[Picasso]

My team is currently building an enterprise-grade AI bot for a major corporate client and the deadline is right around the corner. We need to hand over the final product next week but the engine is still acting super erratic during stress tests. The bot keeps hallucinating under specific scenarios and our prompt chains are clearly not optimized yet. We desperately need an evaluation service to pinpoint the weak spots in our inputs and iron out these responses. What tools do you guys use to fine-tune your instructions and get everything stable for production?

[Cabanas]

Corporate clients always expect absolute perfection from day one and will flag every tiny mistake your code makes. A tight deadline just adds unnecessary pressure to the whole engineering team. You might want to run your current setup through LangSmith to trace the execution steps and catch those logic gaps. Some developers also push their test data through Promptfoo to automate the evaluation process and catch edge cases early.

[Bermudo]

Manual testing takes way too many hours when you have to tweak a single word and check the entire output again. Automated pipelines are basically required at this stage to see how different inputs affect the final response. You can do your agent optimization right here https://eignex.com/ . It digs into the weak spots of your current instructions and highlights exactly what causes those random text generations. Your developers can just review the analytics and apply fixes before handing the final version over to the client.