A controlled company-memory layer for Workforce that connects meetings, Slack approvals, WhatsApp/Spott communication, and a Git-backed knowledge vault. It turns approved operational signals into sanitized Markdown knowledge while keeping source systems authoritative.
Project type
Automation
Best for
Operations teams that need reviewed company memory
Outcome
Controlled Knowledge Vault
Core stack
Next.js, Node.js, Go
Technology stack
Next.js
Node.js
Go
Docker
SQLite
n8n
FAFathom API
Slack API
GitHub API
SPSpott API
WhatsApp
Gemini API
01 — The challenge
Client challenge
Workforce needed a controlled company-memory system that could capture useful operational signals from meetings, review flows, candidate communication, and CRM activity without letting unapproved or sensitive raw data become durable knowledge.
02 — What I built
What I built
I built a Workforce Second Brain automation layer connecting Fathom meeting intelligence, Slack review and approval flows, WhatsApp/Spott candidate communication, and a Git-backed Workforce vault. Approved signals are sanitized into Markdown knowledge, while source systems remain authoritative.
Fathom meeting intelligence ingestion and signal extraction
Slack interactivity for review and approval before durable updates
WhatsApp and Spott candidate communication integration
Sanitized Markdown knowledge generation for the Workforce vault
Git/GitHub PR workflow for controlled company-memory changes
Services built with Next.js, Node.js, Go, Docker, SQLite, n8n, and Gemini
Inside the build
01 / 06
03 — The outcome
Measured outcomes
The company gained a governed second-brain layer instead of an uncontrolled data dump. Durable knowledge updates now pass through review, source systems stay authoritative, and approved operational context becomes searchable Markdown in the Git-backed vault.