Manual research → AE copilot that pre-briefs every call
Account Executives spent 30+ minutes researching each call, often pulling stale info from five tabs.
Industry
B2B SaaS
Outcome
30 min → 2 min
Detail
per call prep
Stack
4 tools
The problem
Account Executives spent 30+ minutes researching each call, often pulling stale info from five tabs.
The solution
A pre-call copilot that pulls CRM, news, funding, and product usage signals, and writes a one-page brief with a recommended opening question.
Approach
Briefs are generated overnight, not at click-time, so the experience feels instant. Stale runs are detected and re-queued automatically.
Detail
Reps rate every brief. Low-quality briefs feed a fine-tuning eval set, so the system gets better as it's used.
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.