LLMTestNever worry about LLM failures or picking wrong models again

LLMTest

Automatically optimize prompts and models for your AI features without breaking functionality. LLMTest learns from your real traffic to deliver faster, better, and cheaper LLM outputs while you focus on building the next feature.

Product Highlights

• Autopilot Optimization: Weekly automated runs that rewrite prompts and test cheaper models on your real traffic, with only safe changes going live
• Automatic Failovers: Seamless routing to backup models when APIs fail or hit rate limits, keeping your features online without user disruption
• 340+ Model Benchmarking: Smart selection across hundreds of models with AI-judged scoring to find the optimal balance of cost and quality
• Five-Gate Safety System: Every change requires 95% confidence, dual-judge agreement, 20% minimum savings, golden set validation, and length bias checks

Use Cases

• Multi-Step AI Pipelines: Optimize each step of complex workflows like SEO blog generators with different models matched to task complexity
• Production Reliability: Prevent crashes from malformed JSON or API outages with automatic retries and model fallbacks
• Cost Reduction at Scale: Continuously reduce LLM spend as traffic grows without engineering effort or quality degradation
• Rapid Model Evaluation: Benchmark new models against your actual prompts before competitors even announce them

Target Audience

Built for developers and teams shipping AI features who want production-grade reliability and cost optimization without dedicating engineering resources to prompt engineering and model selection.