Let agents run your Honeyhive evaluations
QX kicks off evaluation runs, logs events, curates datasets and flags regressions—so your team ships reliable AI features instead of babysitting eval dashboards.
Stop hand-running evals, hunting bad traces, and rebuilding datasets every release. Let an agent do it.
Eval runs on autopilot
Every time your prompt, model or retriever changes, an agent fires off the right evaluation in Honeyhive, waits for results, and tells you exactly what got better or worse.
Datasets that curate themselves
Real production traces get classified, deduped and added to the right dataset automatically—so your evals keep tracking what users actually do, not what you imagined six months ago.
Catch regressions before users do
An agent watches metrics and events, spots quality drops as they happen, and pings the right engineer with the failing traces already attached—no dashboard babysitting required.
Honeyhive
Real workflows, built for your team
Build complex workflows in minutes that chain Honeyhive together with the rest of your stack. Trigger them on specific events, on schedule, or on demand.
Engineering: Evaluate every prompt change before it ships
PR opened on prompt repo
Triggered in GitHub
Detect changed prompts & models
Agent step
Start an evaluation run
in Honeyhive
Pull experiment results
in Honeyhive
Block merge & comment results
in GitHub
Notify the AI team
Alert via Slack
QX agents can start evaluation runs, log events, curate datasets in Honeyhive—and a lot more
+ 16 more actions
About Honeyhive
Honeyhive is an AI observability and evaluation platform built for teams shipping production LLM applications. It gives developers and domain experts a shared workspace to trace, evaluate and improve AI features—combining datasets, metrics, experiments and event-level traces under one roof, with a rich API that makes it a natural fit for automation.
About QX Labs
QX is an AI agent platform that helps you build, run and scale AI across your team in a few clicks. Create agents that connect to your data and 1,000+ apps, building institutional memory that gets sharper every run. Then delegate tasks to them from where you already work—Slack, Teams, WhatsApp or email.
See Honeyhive working inside your stack
Want an AI co-worker that runs your evals and watches your AI features for regressions? Book a demo call to discuss your use cases, or get started for free.
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