I Built an AI Chief of Staff
Seven weeks ago, I started building an AI agent to run the intelligence layer of my company. Not a chatbot. Not a wrapper around an API. A proper, production-grade operating system for a 350-person business.
I called it Clawdbass.
The Problem
Running a global recruitment company means data everywhere. HubSpot for pipeline. HiBob for people. Google Sheets for financials. Ashby for hiring. Delighted for NPS. Five platforms, three VPs across two countries, and one CEO trying to make sense of it all.
I wanted a Chief of Staff that never sleeps. One that could pull data from every source, build dashboards on demand, monitor security, and brief me every morning — before I even open my laptop.
The Stack
Clawdbass runs on OpenClaw, powered by Claude Opus 4.6. The full stack includes:
- Memory system — 65+ documents across 8 categories, with a wake/sleep lifecycle
- 3 production dashboards — Homepage & OKRs, Executive Compass, Delivery Dash
- 26 data scripts — Python pipelines feeding Supabase from 5 integrations
- 16 scheduled jobs — security checks, data refreshes, morning rituals, EOD routines
- Zero plaintext secrets — all 16 API keys resolved at runtime via 1Password
- 3 Slack channels — role-based access with per-channel system prompts
The Presentation
I put together a visual walkthrough of the entire build process — from Day 1 foundation wiring through Week 7 multi-channel intelligence.
What I Learned
Building an AI agent for a real business isn't about the model. It's about the systems around the model — memory, security, scheduling, delivery channels, data pipelines. The model is maybe 10% of the work. The other 90% is infrastructure.
If you're a founder thinking about this, start small. Wire one channel. Add one dashboard. Build one cron job. Then iterate. Seven weeks later, you'll have something that feels like magic.
Want to build your own? Start at openclaw.ai.