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Lunary vs Braintrust

Compare Lunary and Braintrust for chat debugging, feedback, prompt changes and deployment. Choose the workflow your team will use every day.

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Lunary conversation replay
Conversation replay in Lunary

Lunary is our recommendation for teams improving a live assistant through conversation replay, user feedback and connected traces.

Choose Lunary

Your review starts with a customer conversation.

Choose Braintrust

Experiments and scorer development drive your iteration.

Compare deployment

Check the control plane as well as where traces live.

At a glance

Lunary vs Braintrust: at a glance
WorkflowLunaryBraintrust
Customer conversationsChat replay linked to model and agent runsTraces with user feedback and metadata
Prompt changesTemplates, draft versions and playgroundVersioned prompts and environments
Quality testingModel and prompt evaluationsDataset experiments and online scoring
Self-hosting boundaryEnterprise frontend and backend deploymentEnterprise data plane; hosted control plane

See your workflow in Lunary.

Explore conversations, traces and prompt versions with our team.

See Lunary in action

Understand the reply in context

Lunary reconciles chat messages with agent and LLM runs. Review what the user saw alongside the calls behind it, and record their feedback on the message. Braintrust also supports trace feedback, including scores and corrections.

Turn review into a prompt change

Use Lunary templates and the playground to compare models, test variables and share draft prompts. Braintrust offers playgrounds, immutable experiments and online scoring. Choose around your review process, not a feature-count contest.

Compare the actual hosting model

Lunary documents self-hosted frontend and backend deployment for Enterprise. Braintrust offers Enterprise BYOC and self-hosted data planes while retaining its hosted control plane. Confirm architecture, access and operational responsibilities before rollout.

Questions & answers

Is Lunary better for a customer support assistant?

We recommend piloting Lunary when reviewers need the full conversation, user reactions and agent trace together. Validate the fit on your own support cases.

Can Braintrust collect user feedback?

Yes. Its feedback API supports scores, expected values, comments and metadata.

How should I compare them?

Use one failure, one prompt revision and one test dataset. Measure review effort and whether the proposed fix improves your chosen metric.

By Lunary · Documentation reviewed Sep 19, 2026

Sources & methodology (10)

Based on vendor documentation, not an independent benchmark or hands-on rating. Features and plans can change.

Bring your next AI issue to Lunary.

Follow the conversation. Find the cause. Test the fix.

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