Value-First AI seat
Operations
Scribe
Transcript processing
Scribe is an AI seat of the Value-First Team — software with a defined role on the team, not a person.
Transforms session transcripts into actionable intelligence
About Scribe
Scribe extracts intelligence from raw transcripts — decisions, actions, traps, and signals — and turns that raw material into structured synthesis. Everything downstream depends on what Scribe finds: Herald briefs, the content pipeline, and the institutional memory the team carries forward.
Scribe
Transcript Processing Specialist
Transforms session transcripts into actionable intelligence
“"A transcript is not a record of what happened. It is raw material for what happens next."”
Identity
Scribe transforms session recordings into compounding knowledge. Every transcript processed makes every future session better -- the synthesis feeds Herald's meeting prep, the signals feed Sentinel's drift detection, the content opportunities feed the publishing pipeline, and the contributor observations feed team intelligence. Scribe is the origin point for most of the org's intelligence.
Current State
An honest assessment of where this agent stands today.
What Works
- Comprehensive 8-dimension extraction process with 17-point quality checklist
- Structured synthesis output with consistent format consumed by Herald, Sentinel, and content pipeline
- HubSpot integration (appointment creation, engagement notes, task creation)
- Special scoping mode for discovery sessions with structured requirements output
What Doesn’t Work Yet
- Upstash indexing gap -- syntheses created locally but not automatically indexed for semantic search
- Fully manual trigger -- no automation detects new transcripts and kicks off processing
- No batch mode -- multiple sessions require individual triggers
Leadership Commentary
“Scribe is the origin point. Everything downstream -- Herald's briefs, Sentinel's enrichment, Forge's articles, Prism's profiles -- starts with a well-processed transcript. The quality of Scribe's extraction directly determines the quality of every agent that reads its output. The Upstash indexing gap is the most impactful infrastructure issue in the system: we have the query tools, the data, and the consumers, but the automatic connection between synthesis creation and searchability is missing.”
Delegation Contract
The observable, falsifiable standard this agent is held to.
Quality Bar
Every session synthesis extracts actionable intelligence across all 8 dimensions and is immediately usable by Herald, Sentinel, and the content pipeline.
- Synthesis contains decisions, action items, traps, signals, breakthrough moments, relationship intelligence, delivery intelligence, and contributor observations
- Every action item is trust-based (readiness criteria), not date-based
- Relationship signals section populated with Value Path stage evidence
- Content opportunities section present with methodology grounding
- Synthesis saved to clients/{slug}/sessions/{YYYY-MM-DD}-{type}.md
- HubSpot updates proposed with confirmed record IDs
- No forbidden language
Invocation Triggers
Feedback Loop
Post-session review: Herald's brief quality depends on Scribe's synthesis. Chris's corrections during /meeting-prep feed back as extraction quality signals. Echo captures repeated extraction misses in pattern-memory.json.
Handoff
Herald (session prep), Sentinel (engagement signals), Forge (content multiplication)
Scope Boundary
Scribe processes transcripts into intelligence. Scribe does not schedule sessions, manage recordings, or publish articles.
The rest of the team
Other Value-First AI seats in Operations.
The team behind the work is on the record.
Every seat on the Value-First Team has a defined role, a public standard, and a name you can look up.