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Improving LLMs in Production With Observability

Honeycomb

In May, we released our new natural language querying interface, Query Assistant. Here's how our use of an LLM is doing in production.

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All the Hard Stuff Nobody Talks About when Building Products with LLMsHoneycomb Frontend Observability: A Candid Conversation With Emily Nakashima and Charity MajorsHoneycomb Three Properties of Data to Make LLMs AwesomeHoneycomb So You Want To Build An Observability Tool…Honeycomb Using Honeycomb for Frontend Observability to Improve HoneycombHoneycomb Beyond Backend: Honeycomb for Frontend Observability is Now GAHoneycomb 10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify How Ramp automated receipt processing with fine-tuned LLMsModal Building a Remote MCP Server: OAuth, Tool Design & Lessons from 4,000+ AI Queries | MotherDuckMotherduck KAUST and Cerebras Named Gordon Bell Award Finalist for Solving Multi-Dimensional SeismicCerebras Cerebras Systems Enables GPU-Impossible™ Long Sequence Lengths Improving Accuracy in NaturalCerebras How AI Assistants Can Decode GitHub Repos for UI WritersDocker AI's Role in Video Marketing, Cost EfficiencyHeygen Creating an AI Summary App with Next.js | Vercel AcademyVercel Performing an Instant Rollback on a DeploymentVercel Build Your Own PluginVercel Rolling out a new featureVercel 6 tips every developer should know when using Cursor and Windsurf AIMintlify Real-Time Speech-to-Speech Translation: Architecture GuideDeepgram How to Build Real-Time Sentiment Analysis for Streaming AudioDeepgram