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AI.Engineering
WorkHealthcare

Marketing copy that survives compliance review

A health tech startup was burning a week per campaign in compliance back-and-forth.

Industry

Healthcare

Outcome

−70% review cycles

Detail

per campaign

Stack

4 tools

The problem

A health tech startup was burning a week per campaign in compliance back-and-forth.

The solution

A constrained writing pipeline: brand voice + claim library + policy guardrails feed each draft, with an automated pre-review that flags risky claims before legal sees them.

Approach

The win wasn't the model — it was the claim library. Every approved phrase lives in a database that the model is grounded against.

Detail

Risky claims are flagged inline with the policy citation, so writers learn the rules instead of guessing.

Sample evaluation harness

// evals/extraction.eval.ts
import { runEval } from "./harness";
import { invoiceCases } from "./cases";

await runEval({
  name: "invoice-extraction",
  cases: invoiceCases,
  judge: "strict-json-schema",
  passThreshold: 0.95,
});

Let's build

Have an AI feature that needs to ship without falling over?

Tell me what you're trying to automate. I'll come back with whether it's a 2-week build, a 2-month build, or honestly not a good fit.