How to stop chasing AI failures in scattered logs and guesswork
AgentLens helps businesses monitor AI provider reliability in real-time, so you can catch failures before customers complain or your team wastes hours in logs.
Your AI tool works fine in tests. But once it’s live, things go wrong. Customers get slow answers, wrong advice, or no response at all. Your team spends hours guessing why from scattered logs. AgentLens helps you spot these problems before they reach customers. It watches AI providers like OpenAI, Anthropic, or Gemini in real-time. When one starts failing, it tells you exactly what’s wrong and what to do next. Explore AgentLens
AgentLens doesn’t just show errors—it explains why they happened. For example, if OpenAI suddenly slows down, it might be because they’re rate-limiting your requests. AgentLens detects this, compares it to other providers like Anthropic or Groq, and suggests switching to one that’s working. No more guessing. No more waiting for IT to figure it out.
How AgentLens helps you pick and switch providers
Before you launch an AI feature, AgentLens helps you compare providers. You describe the job your AI needs to do—like answering customer questions or summarizing documents. AgentLens then runs the same test questions across OpenAI, Anthropic, Groq, and others. It shows you which provider gives the fastest, most reliable, and cheapest answers for your specific needs. For example, if you’re building a legal document summarizer, AgentLens might show that Groq is fastest but less accurate, while Anthropic handles complex legal terms better. You pick the one that fits your priorities.
After you choose, AgentLens keeps watching. It tracks errors, explains why they happened, and suggests switching providers if needed. For instance, if OpenAI’s success rate drops from 98% to 61% due to rate limiting, AgentLens recommends routing traffic to Anthropic—which is handling similar requests at 99% success with normal speed. It even attaches evidence like a timeline of what changed and how many calls were affected.
You don’t need to be a tech expert to use it. AgentLens gives you a clear answer: ‘Route new traffic to Anthropic. OpenAI is rate limiting this workload.’ This way, your team can act fast without digging through logs or waiting for developers. TechiesAIE can adapt this approach for your specific AI tools—like monitoring chatbots, data analysis models, or automation workflows—so you avoid the guesswork. Explore TechiesAIE software services
What AgentLens can’t do (and what you’d need to build)
AgentLens focuses on monitoring AI providers, not fixing them. It won’t rewrite your AI’s logic or handle custom business rules. For example, if your chatbot gives wrong answers because of poor training data, AgentLens won’t fix that—it’ll only tell you when the provider is slow or unreliable. To improve accuracy, you’d need to work on the training data or logic separately.
If you want AgentLens to handle more than just provider reliability—like custom alerts for your specific business rules—you’d need to build additional features. For instance, you might want it to flag answers that sound ‘too robotic’ or don’t match your brand voice. That would require custom development on top of AgentLens. TechiesAIE can help design these extensions—like connecting AgentLens to your CRM to auto-update support tickets when AI failures occur. Explore TechiesAIE automation services
What a similar project would need
If you’re thinking about building something like AgentLens for your own AI tools, here’s what you’d need: First, a way to test AI providers against your real-world tasks. Second, real-time monitoring of provider health—like success rates, latency, and error types. Third, clear explanations of why failures happen, so your team can act fast. Finally, a way to switch traffic automatically if a provider fails. TechiesAIE can help you build a custom system tailored to your needs—like monitoring AI chatbots for ecommerce sites or route-planning tools for logistics businesses.
For example, if you run a logistics company using AI for route planning, we could design a solution that not only monitors provider health but also alerts your team when delays start affecting delivery times. Or, if you’re a legal firm relying on AI for document review, we could build alerts for when provider failures risk missing critical details. AgentLens is a template—we can adapt it or create something new to fit your workflow.