- ANALYSIS
- DATA
- HUMAN
- LOGS
Short answer
How can I detect if a new prompt is worse than my old one?
Your agent pulls existing experiment traces and datasets to run a head-to-head comparison. This reveals exactly where a new prompt version fails compared to your baseline. You'll see the specific performance gaps immediately.
The outcomes.
Where your results land.
The AI handles the heavy lifting of data retrieval and comparison.
ANALYSIS
Regression detection
The AI identifies where new prompt outputs deviate from your baseline traces. You get a clear view of performance shifts.
DATA
Dataset alignment
The agent pulls the exact test sets you need to validate changes. It ensures you're testing against the right inputs.
HUMAN
Manual review
You decide which specific failures require a manual fix. The AI flags the issues, but you make the final call on prompt logic.
LOGS
Experiment history
The agent looks back through previous runs to find your gold standard. This keeps your testing grounded in real past performance.
The workflow
What your AI does when the request arrives.
The agent acts as a bridge between your chat interface and your Braintrust experiments.
Identify the baseline
The agent looks up your previous successful runs to establish what a good response looks like.
list_experimentsFetch the prompt
It pulls the specific version of the prompt you want to test or compare.
get_promptLoad test data
The agent grabs the specific input sets used for your evaluation.
get_datasetRun comparison
The agent compares the new outputs against the baseline traces to find regressions.
get_prompt
Try it
Copy these to start.
Use these prompts to kick off your testing immediately.
Starting points
These are starting points. Swap out the experiment names and dataset IDs for your actual Braintrust identifiers.
Braintrust Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_cr8T7CpPGy155EtBgklGtlDgFsTWLRLYfzKoHIOF/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Braintrust capabilities are ready to use.
{
"mcpServers": {
"braintrust-mcp": {
"url": "https://edge.vinkius.com/vk_preview_cr8T7CpPGy155EtBgklGtlDgFsTWLRLYfzKoHIOF/mcp"
}
}
}Compare the prompt from experiment 'v2-final' against my baseline 'v1-stable'.
Run a regression test using the 'customer-support-test' dataset.
Check if the new prompt version in 'agent-refactor-04' has dropped in quality compared to the previous run.
Pull the data from the 'qa-eval-set' and compare it to my latest prompt version.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Braintrust once, then ask.
Just link your Braintrust account. Your credentials stay encrypted and secure, and you can start testing right away in your preferred AI client.
Connect Braintrust to your AIFAQ
How this task behaves.
- 01
Can the AI change my prompts in Braintrust?
No. The AI can only read prompts and experiment data. You must manually edit or save new versions in Braintrust yourself.
- 02
Will the AI delete any of my experiment traces?
No. The tools only allow for reading and retrieving data. Your existing experiment history is safe.
- 03
Can I use this to run new experiments automatically?
The AI can pull the data and compare results, but it doesn't trigger the actual execution of new large-scale experiment runs.
- 04
Do I need to provide the experiment IDs every time?
It's easier if you do. While the AI can list experiments to find them, being specific helps avoid confusion.
- 05
Can the AI fix a regression for me?
No. The AI identifies where the performance dropped, but you are responsible for rewriting the prompt to fix the issue.
More questions about Braintrust? See everything the Braintrust Connector can do
Connect Braintrust to Claude, Cursor, ChatGPT & more
