Braintrust vs. Assay
Braintrust helps your engineers debug code. Assay helps Product Managers and CX leaders protect the brand. Why enterprise AI requires both.
The Product Manager's Dilemma
When comparing Assay to Braintrust, you aren't comparing features—you are comparing audiences. Braintrust is a phenomenal tool for Machine Learning engineers. It tells them if the API call was fast, if the prompt executed correctly, and how much the tokens cost.
But for a Product Manager or CX Leader, that data isn't enough to launch. An AI agent can have perfect latency while simultaneously using a generic, off-brand tone that destroys a luxury brand's carefully cultivated image. Assay is the commercial evaluation layer that gives Product Managers the quantitative proof that the agent is actually safe for customers to interact with.
| Evaluation Capability | Assay | Braintrust (DevOps) | Assay (Commercial) |
|---|---|---|---|
| Primary Audience | Product & CX Leaders | Engineers & Developers | Product & CX Leaders |
| Core Optimization | Brand Adherence & Tone | Latency & Token Cost | Brand Adherence & Tone |
| Setup Requirement | No-code Brand Canon | Python / SDK Integration | No-code Brand Canon |
| Evaluation Focus | Taste Ontology | Code Execution & Tracing | Taste Ontology |
| Sign-off Authority | Business Ready | Technical Ready | Business Ready |
Stop guessing. Start measuring.
Whether you use Zendesk, Intercom, Sierra, or build your own, you need an objective evaluation layer. Connect your agent to Assay today.
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