Human judgment.
Automatically labeled.
Goldy turns one-click reviews in Slack into labeled training data for your evals. No hand-labeling. No PM required.
Free while in beta ยท Installs in 2 minutes
New LLM output ready for review (Prompt v2.4):
"Customer requested refund for order #8492 due to shipping delay. Policy allows auto-approval within 14 days."
Stop hand-labeling eval data.
Every review your team gives becomes labeled golden data. Your LLM-as-judge trains on ground truth โ not vibes, not synthetic guesses.
One click, real labels.
Reviews come from the humans who actually know what "good" means.
Grows with your product.
New failure patterns get proposed as categories automatically.
Plugs into your stack.
Feeds Langfuse, Braintrust, or your own eval pipeline.
Two clicks from you. A smarter standard for everyone.
Tap ๐ or ๐ on what builders send you in Slack. Your calls become the bar the AI measures against.
No tools to learn.
It's just Slack.
Two seconds per review.
Real work, not a form.
You define what "good" means.
Nobody knows the product better than you.
Not an admin? Add to Slack sends a quick request to whoever is.
How it works
1. Connect
Add Goldy to Slack. Point it at your AI tool.
2. Review
Goldy sends outputs to the right person for a one-click verdict.
3. Distill
High-agreement judgments become golden data for your evals.
Why now
AI teams ship faster than ever, but eval data still gets hand-labeled or generated synthetically. Meanwhile, the people who actually know what "good" means โ PMs, domain experts, founders โ never get asked. Goldy closes that gap.
Security & trust
Built for teams that care about their data
Slack-native
Built on Slack's official platform and OAuth flow.
Least privilege
We ask for the minimum permissions. Here's exactly what and why โ
Your data stays yours
We store the feedback you give. Never your conversations. Never used for training.
Encrypted end to end
In transit and at rest.
What's coming
Slack Engine
One-click feedback in Slack โ golden data for your evals.
Auto Patterns
Auto-detect failure patterns โ categories that grow from your data.
LLM-as-Judge
Built-in LLM-as-judge โ catches regressions before they ship.
Works with
More coming. Building the connector you need? Tell us โ