Hamming

Multi-step RAG & AI agents are hard to get right. A small change in prompts, function call definitions or retrieval parameters can cause large changes in final LLM output. Our vision is helping product and engineering teams build self-improving AI-systems that require minimal human oversight. Writing prompts by hand is slow and tedius. Use our prompt optimizer (free to try) to automatically generate optimized prompts for your LLM. Save 80% of manual prompt engineering effort. Leverage our curated adversarial datasets aimed at testing your AI app's robustness against prompt-injection attacks. Curate golden datasets with built-in versioning. Test your pipeline's performance on each dataset using our collection of in-house scores that measure accuracy, tone, hallucinations, precision and recall. We create custom evals unique to your use-case aligned with your preferences. We go beyond passive monitoring. We actively track and score how users are using your AI app in production and flag ca

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• Wei Chun Tan