Braintrust
LLM observabilityTurn production patterns into evals and better prompts.
Define what good looks like, then score against it.
Hand your coding agent a brief for each fix.
Braintrust vs Brizz
Braintrust finds patterns in your agent. Brizz fixes them.
Braintrust evaluates your agent with the evals your team defines. Brizz finds what no one thought to define, and fixes it.
Choose Brizz if you need…
- Detections from the first trace
- The gaps between what users ask and what your agent can do
- The users and accounts behind every silent failure
- Issues ranked by impact, with what each costs per user
- The fix as a PR on your prompt, tool, code path or model
01how each one works
How each improves your agent.
brizz
Agent evolutionFind what users want and what fails, from the first trace.
Rank every issue by its impact and what it costs.
Get a PR on the prompt, tool or code, and a check that it worked.
02capabilities
Braintrust and Brizz, side by side.
Capability
Braintrust
brizzFindWhat can be improved
IntentsFinds what users are trying to do, automatically.
✓
✓
Capability gap detectionFinds the gaps between what users ask and what the agent can do, apart from failures.
◐
✓
Issues ranked by impact, with root causeFinds failures and issues automatically, scores each by its impact, and says why it happens.
◐
✓
Shows which users and accounts struggleNames the users and accounts having a bad time.
◐
✓
RankWhat to fix first
Agent Health ScoreOne score for the agent that every issue is ranked against.
×
scores per scorer✓
Braintrust: scores per scorerCost per issue and per userShows what each issue costs, per issue and per user.
◐
✓
Predicted future gainForecasts what fixing each issue is worth, before you fix it.
×
✓
FixA PR to approve, and its impact verified
Fixes delivered as pull requestsOpens a small pull request in your code for the issue, which your team reviews and approves.
◐
✓
Verify the impact of each fixChecks in production that a shipped fix worked, and flags an issue that comes back.
✓
✓
ReadEvery interaction
Conversation as the unit of analysisReads each conversation or run as a whole.
◐
✓
Answers in plain words
✓
answers when asked✓
Braintrust: answers when askedChat, voice and autonomous agents
✓
scorers you set up✓
Braintrust: scorers you set upMetric calculation for every sessionScores success, satisfaction, cost and performance on every session, out of the box.
◐
✓
Tracing and evalsRuns, tests and prompts
Tracing, sessions and costTraces of each run, sessions, metrics, cost and usage: what happened in each run.
✓
✓
Evals, datasets and experimentsDatasets, scorers and experiments that test the agent before a change ships.
✓
×
Prompt managementVersioned prompts with a playground, edited and deployed from the tool.
✓
◐
Full Partial Not offered
Source · Spotted something? Tell us at contact@brizz.ai
Braintrust and Brizz, answered
For finding and fixing, yes. Braintrust improves an agent through the evals your team defines. Brizz finds what users need and what fails without an error from the first trace, ranks it by impact and opens the fix as a PR you approve.
Patterns finds and explains recurring problems and reopens them when they return. Brizz finds issues automatically from real usage, ranks every issue on one Agent Health Score with its cost per issue and per user, and writes the fix as a PR on your code, prompt or tool.
It keeps reading the same runs after the merge, compares the week before and after on quality, cost and latency, and reopens the issue if it comes back.
No. Brizz finds what users come for, the gaps between what they ask and what your agent can do, failures and the users behind them from the first trace. In Braintrust, Topics labels intent, sentiment and issues once you turn it on, and a success or satisfaction score comes from a scorer you attach.
See what Brizz finds in your agent.
Brizz finds what to fix in your agent, ranks it, solves it, and verifies the impact.
Integrates with the stack you already have