Hyro × E-commerce Equation
Something your team spent hours on this week. We'll brief my AI on it right now and show you the output before this session ends.
tokens on Anthropic alone.
In the last two months.
And that's just one provider. Not counting OpenAI, Codex, or anything else.
cheaper in 18 months.
$36 → $0.25 per million tokens. Same quality. 144 times cheaper.
By 2030, one AI hour replaces an entire human year.
That's where the curve goes. Not decades. Years.
You don't build this from scratch. You assemble it.
It was terrible.
Every ticket passes through subscription status, refund threshold, VIP detection, and warehouse sync before a single word is sent.
Refund over $50? Escalate. VIP customer? Escalate. Not sure? Escalate. Lisa never guesses on money.
Each new scenario becomes a documented skill. Watermelon campaign launched? New skill. QR code issue? New skill. The system gets smarter every week.
Never promise refunds before verification. Never override policy. Never improvise promotions. Consistency over speed.
total tickets in 3 weeks
autonomous this week (153 of 177)
escalations per week stayed flat while volume more than doubled
The remaining ~14% are VIP decisions, chargebacks, and policy calls that will always need a human. That's by design.
Demand forecasting, BOM explosion, copacker management, 3PL integration, purchase orders, production planning. 21 database migrations, 7 operational tabs.
Our supply chain manager ran everything in spreadsheets. Now she has a custom system that speaks directly to our warehouse API and Shopify.
That's what a dev agency would charge for custom MRP software. Katana alone is $10K/year and doesn't cover half the scope.
Built by AI coding agents (Codex + Claude Code), coordinated by Atlas. Hosted on Cloudflare Workers for $5/month.
Reviews every CS ticket. Manages daily ops. Writes investor memos. Coordinates the other agents.
Pulls attribution data. Analyses creative performance. Recommends budget shifts across Meta, Google, TikTok.
Syncs Xero. Reconciles bank feeds. Builds cash flow forecasts. Flags anomalies before month-end.
Tracks raw material to finished goods. Manages 3PL integration. Forecasts reorder points from sales velocity.
Writing policy before code. Letting agents learn incrementally. Daily human review loops. Hard escalation guardrails. Treating AI as a junior hire, not a magic wand.
Trusting AI with money decisions too early. Giving agents autonomy before the process was proven. Expecting perfection on day one. Skipping the boring documentation step.
Writing, research, drafts.
AI owns repeatable steps.
AI becomes the company.
Steve Chapman · Hyro · drinkhyro.com