Missions M-01
CallCoach-AI
Four agents score an investor call, and every flag has a ▶ Hear it button that plays the recording from the second it was said.
Objective
A founder raising a round takes 15 to 20 investor calls a week and almost never listens to one again. Feedback arrives as a feeling (“that one went well”), so the same weak answer survives a dozen pitches, and promises made on calls get forgotten.
Baseline
No review at all, or a mentor who hears one call in twenty.
System
- Ingestion → WhipScribe for transcription, speakers and timestamps.
- Four scoring agents (call quality, sales skills, objection handling, closing/compliance), each calling an LLM judge (Groq GPT-OSS-120B by default; OpenAI, Anthropic or local Ollama selectable). A rule-based fallback keeps scoring when no model is available.
- Aggregator joins scores, evidence and rules into one report; every flagged moment carries its timestamp.
- Insight engine for cross-call trends, commitments and action items, plus Griot, a chat that answers across all calls and cites the call and second each answer came from.
- Delivery to Slack, Notion and HubSpot. Each connection is tested with a real message before it’s saved.
- Same pipeline three ways: web app, CLI (
python -m src.main --compare job1,job2,job3), and an MCP server so Claude or Cursor can score calls directly.
Eval
The design choice standing in for a metric: evidence you can hear. Every flag links to audio at the exact second, so the user verifies the model instead of trusting it.
Anomalies
A-1 · The host platform. Building against WhipScribe meant reading its API and product closely, so I filed 67 findings on the buildathon repo: missing security headers, analytics firing before cookie consent, API responses drifting from the docs, pricing inconsistencies, accessibility gaps. See the issues
A-2 · Cold starts. The analysis server sleeps when idle; the first request shows “Waking up the analysis server…” rather than hanging. Honest UX over a fake-fast spinner.
Outcome
Live, no sign-up: open the app and click Score a sample call. Launch film and product walkthrough are linked from the repo.