Mocks & Synthetic Data
Fast and cheap, but fixtures and local samples can't tell you how the real system behaves.
A new model or a prompt tweak can quietly break what your customers rely on. See how monday.com runs every PR through evals against a staging cluster with real services and data.
Want this running against your own cluster? Book a live technical session with our engineers.Bring your eval suite. We help wire it to real services in your cluster, using mirrord.
Book a technical sessionA lot of what an agentic product does is call other systems: databases, internal services, third-party APIs. One changed prompt, model, or tool can quietly break those calls. Evals catch that, but only if the dependencies they run against behave like production.
Fast and cheap, but fixtures and local samples can't tell you how the real system behaves.
Real behavior, but you pay for every run in spin-up time and money.
Your eval suite, run against a staging cluster with real services and data, on every PR. No environment to spin up or maintain.
What a suite catches once it talks to a populated staging cluster.
mirrord lets developers and coding agents run local processes with access to a real Kubernetes cluster, without deploying first.
Wiring an eval gate to a cluster from scratch.
monday.com's own framework for running agent evals.
We're offering webinar attendees a live technical session: our engineers sit with your team and help wire your agent evals to real services in your cluster, using mirrord. Here's how it works:
See the eval setup monday.com runs on every PR.
Tell us what your evals call: databases, queues, APIs.
Our engineers will help point your evals at your real cluster with mirrord.
You own the agent and want evals that reflect what it does in production.
You own the eval suite and need scores you can trust before a merge.
You own the cluster and want evals to use it without duplicating it.
You want agent PRs held to the same bar as human PRs.
Dor is AI Engineering Director at monday.com and speaks publicly about agent evaluation, including at LangChain's Interrupt in London. At monday.com, agent PRs move through the same repository, CI pipeline, and engineering standards as human-written work.
Eyal co-founded MetalBear and leads engineering on mirrord. mirrord lets developers and coding agents run local processes with access to a real Kubernetes cluster, without deploying first. Eyal hosts the conversation and demos how to set up evals with mirrord.
Pick a time here. Bring your eval suite, or just tell us what your evals call today. We do the wiring with you on the call.
They land in your inbox after you unlock the recording. If you registered for the live session, check the follow-up email. You should already have them.
The demo is Kubernetes, and so is mirrord. The same problem shows up anywhere local code depends on databases, queues or APIs that only exist in a remote environment, so book a session and tell us what you're running.
Yes. The eval runs on your machine or in CI while the agent talks to real databases, queues and services in the cluster. Nothing gets deployed to get a score.
No. Several engineers and agents can run against the same cluster at once without colliding, so there's no parallel staging to build or pay for.
This session will improve the results you get in LangSmith, Braintrust and other platforms you use. You'll see how to point the same suite at a real database and real services, and how to wire that run into CI.
No. Watch first, then use the repo and setup guide to run the same checks on your own cluster. Or get help while setting it up by booking a session with us.