Workforce Second Brain Automation Layer
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.
Next.js
Node.js
Go
Docker
SQLite
n8n
Slack API
GitHub API
WhatsApp
Gemini APIThe 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.
The build
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
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.
Inside the build
See the system, not just the summary.
Primary workflow view
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