Furt Dačo
Four AI teammates for a two-person merch brand
Furt Dačo is a small Shopify merch shop (socks, tees, caps) run by two people after hours. No investment, no big team. Instead of hiring for stock, product, strategy and marketing, they built four AI agents that pull their own data and report back.
No investment. No big team. Two founders and four AI agents.
What changed
- 4 agents0 new hires
- Shopifydata pulled automatically
- → inboxreports on a schedule
01The challenge
Where it started.
Furt Dačo started the way most side projects do: two people, a Shopify store, and a line of merch (socks, tees, caps) built in the evenings. No funding, no team to lean on.
In detail
At that size, every hour and every slow week is felt directly. There is nobody dedicated to inventory, nobody watching the product portfolio, nobody owning strategy, and nobody making sure the brand actually posts and markets. The founders were doing all of it themselves, between everything else.
Hiring four people to cover stock, product, strategy and marketing was never an option for a project this small. But ignoring those four jobs is exactly how small brands quietly stall.
Quote
“You don't fall in love with AI at a conference. You fall in love with it the moment it takes work off your hands that you didn't want to do anyway.”
02What we built
Agents and workflows, on one platform.
Sources
AI agents
Why the Elevon platform
Four role-based agents, not four hires
Stock, product, strategy and marketing each got their own AI agent. The work that would normally need a small team is covered by agents the founders built themselves.
Agents pull their own data and report
The agents read live data from Shopify, evaluate it, and send back finished reports on a schedule. No manual exports, no spreadsheets, the analysis lands in the inbox.
No code, no investment
The whole setup was built by two people after hours, with no developers and no budget. AI started small, on a project where it was safe to learn.
03Rollout
Step by step.
Four agents run the back office, each with a clear job. They connect to Shopify, pull the data they need, evaluate it, and deliver a formatted report, some saved to file, some sent straight to the inbox on a schedule.
In practice
Once a month the founders open their inbox to a finished strategy report: what to launch, which bundles to push, where stock is about to run out. The product agent flags a rising trend worth testing; the stock agent says exactly what to reorder and from whom. They review, decide, and get back to the parts they enjoy.
04Results
What changed.
- 4 agents0 new hires
- Shopifydata pulled automatically
- → inboxreports on a schedule
The point is not a headline number. It is that a two-person brand now runs four back-office functions on autopilot, on data it never had time to analyze before.
- Four AI agents running in production on a real Shopify store
- Stock, product, strategy and marketing covered without a single extra hire
- Agents pull live Shopify data and deliver scheduled reports straight to the inbox
- Reorder decisions, dead-stock alerts and new-product ideas, all prepared automatically
- Founders freed to spend their limited time on the work they actually enjoy
Why it worked
Most AI adoption stalls because it starts in the wrong place, on the biggest, hardest, highest-stakes process in the company, where the cost of getting it wrong is high and trust is low.
Furt Dačo did the opposite. It started small, on a low-stakes side project, where it was cheap to experiment and safe to learn the limits. The founders got to see exactly what the agents were good at, build confidence, and only then think about going deeper. That first skill, learning to trust AI on real work, is the one that scales.
Quote
“This is the right way to adopt AI. Don't start on the hardest processes. Start on something small, learn its limits, learn to trust it, and only then let it go deeper.”
Next step
Your process could be the next case.
A 30-minute call. You tell us about one process, and we say whether it fits the platform, a product build or a consulting project.