Stop flying blind with your AI chatbots—Lunary gives you complete visibility into how your language models are performing, what's breaking, and exactly how to fix it.
Lunary is an open-source observability and management platform built specifically for teams running AI chatbots and agents. If you've deployed a customer-facing chatbot, internal AI assistant, or any system powered by large language models, Lunary shows you exactly what's happening under the hood. You get real-time monitoring of every conversation, detailed logs of AI responses, error tracking, and performance metrics—all in one dashboard. Instead of getting support tickets about "the chatbot gave a weird answer," you can actually see what went wrong, why it happened, and prevent it from happening again.
The platform handles prompt management, letting you version control your AI instructions, test different prompts against real conversations, and deploy updates without breaking production. For small businesses using AI to handle customer service, lead qualification, or internal workflows, this eliminates the guesswork. You're no longer hoping your $200/month AI tool is working—you know exactly what it's doing and its impact on your bottom line.
E-commerce businesses running customer service chatbots, marketing agencies building AI tools for clients, SaaS companies with AI-powered features, professional services firms using AI for intake and intake, and any small business that's invested in AI automation but needs visibility into performance and reliability.
Open-source and free to self-host, or cloud-hosted plans starting at around $99/month for small deployments, scaling based on conversation volume.
Small businesses typically save 5-10 hours per week on chatbot troubleshooting and debugging once they have visibility into what's actually happening. You'll identify which prompts are costing you money through failed interactions and fix them, easily recovering $200-500+ monthly in wasted API costs. More importantly, you prevent reputational damage from broken AI—catching a hallucinating chatbot before it reaches customers. Teams report 30-40% faster iteration cycles on AI improvements because testing is data-driven instead of guesswork. If your chatbot currently handles customer service, measuring actual performance lets you confidently increase its responsibilities and reduce human support costs by 15-25%.
User Reviews & Comments
Have you used this tool? Share your experience and help other business owners make informed decisions.