My Coworkers Are Agents: Running a GTM Consultancy Where Slack-Native AI Workers Build, Monitor, and Self-Heal Client Automations

I built a team of AI “employees” — GTM Engineering agents — that run go-to-market operations for real clients at my consultancy, Tarka. Each agent lives in Slack (one channel per client), and end-to-end it builds, operates, monitors, and auto-recovers the client’s GTM stack: prospecting in Deepline → CRM in Attio/Clarify → outbound email in Instantly → LinkedIn outreach via allman.sh, all orchestrated through n8n workflows. You message the agent in Slack like a coworker — “pipeline for this ICP is dry” — and it ships the automation, watches it run, and fixes it when a step breaks.

Live, I’ll show: (1) an agent taking a Slack request and standing up / repairing an n8n workflow across the GTM tools; (2) the architecture of the platform underneath it (ergoly) — how each agent is an isolated worker bound to a single client; and (3) the monitoring + auto-recovery loop that lets these agents run unattended. I’ll pull up the real system: the Slack control plane, the worker sandboxes, and the four-tier memory + credential-injection design that keeps every client’s data and secrets separate.