~/projects /lamose-ai-workforce
LAMOSE — an e-commerce brand run by an AI workforce
16+
autonomous agents
21
scheduled jobs
~979
etsy listings managed
LAMOSE is my custom-engraved drinkware brand — tumblers, bottles, mugs, hockey pucks, name tags — selling through Shopify, ~979 Etsy listings, Faire wholesale, and Amazon, with four international trade shows behind it. It’s also my proving ground for a thesis: a single operator can run a six-figure e-commerce business if AI agents do the daily work.
The workforce
16+ agents run on cron and launchd (21 scheduled jobs on a Mac mini), each owning a lane:
- Forecast — revenue pacing against monthly targets with P50/P90 projections
- Inventory — days-of-supply tracking against vendor lead times, reorder proposals
- Pricing — competitor monitoring against YETI, Stanley, and Hydro Flask
- Ads — Google Ads management (its own case study — see the AI Ads Manager)
- Etsy Guardian — daily listing title/tag optimization and competitor keyword intelligence
- Mockups — AI-generated product mockups from real reference photos for listing refreshes and B2B previews
- CRM, Outreach, Reviews — B2B pipeline, review responses, wholesale follow-ups
- Night Ops, Growth, Analytics, Compliance, Production, Communications — everything else
Each morning the fleet posts briefings and proposals to Slack. I read, approve, or redirect. The business runs while I build.
The governance layer
Letting agents touch a real business without guardrails is how you wake up to a disaster. Every agent operates under a written autonomy framework with three tiers:
- Auto-execute — low-risk, reversible actions (report generation, data syncs)
- Propose with reasoning — anything touching money, customers, or public content waits for my approval in Slack
- Weekly strategy — direction-level recommendations batched for review
There’s a hard “never-touch” list, brand-voice rules, and an Airtable decisions log with one rule: no log entry, no action. Every agent decision is auditable after the fact.
Why it matters
This isn’t a chatbot bolted onto a store. It’s an operating model: the agents do the recurring cognitive work — monitoring, drafting, reconciling, proposing — and the human does judgment, taste, and relationships. The same pattern now runs my pharmacy and my consulting practice.
stack: Claude · DeepSeek · Python · launchd · n8n · Shopify API · Etsy API · Airtable · Slack