Branded Bills stopped waiting on their dev agency. Your brand can too.
Branded Bills replaced a rotating ticket backlog with Billy, an AI developer tuned to their brand. Requests that took two weeks at best now finish in ~15-minute turns, and nothing goes live without a human approving it.
- Client
- Branded Bills
- Sector
- eCommerce / Shopify
- Practice
- AI that ships
Branded Bills is a Shopify brand with an incredible product and a familiar problem. The eCommerce team's heads are constantly spinning with new ideas: homepage tweaks, landing pages for a drop, CRO tests, and all the other small stuff customers actually notice. The only problem with that is that almost none of it shipped.
Our old friend mathematics was the real problem here. Every idea meant filing a ticket, waiting for scope, waiting for an estimate, waiting for the next open slot on the calendar, then crossing your fingers and hoping the estimate was accurate. Often, by the time a change was made, the opportunity had passed by... right along with the cost of getting there in the first place. Every step takes time, and every hour costs money; a conundrum that my four-year-old could probably understand.
The honest version is less dramatic than all that. The agency did good work and the team was genuinely happy with it. The model itself just wasn't built for the volume and speed they wanted at the cost they wanted, so every small idea had to run the same gauntlet of tickets, scope calls, estimates, and open calendar slots, until eventually the team stopped proposing the interesting ones altogether.
Tiffany Starr, their Director of eCommerce, lived in that queue for years. She had a team that knew exactly what customers wanted and no way to execute on ideas faster than the schedule allowed.
Now we can say yes to more ideas because development is no longer the bottleneck it used to be.
Backlog hell
Before anything changed, the backlog was saturated with old tickets at any given time, and it didn't shrink so much as rotate. Old tickets came off only when they were either no longer relevant, or when the cost to execute didn't make sense. The average time from "we want this" to "it's live" was 2 weeks at a minimum, with larger projects often running across months. Small changes regularly took a back seat, because they kept getting bumped for "real work." Large percentages of requested work never shipped at all, nestled comfortably in the backlog queue, and the cost of the process as it stood stayed the same whether the work moved or not.
None of that was a staffing problem. The team had energy and ideas. The old process just made every small idea expensive, so the small ideas died in ticket text boxes.
Something's gotta give...
Tiffany decided to change how the team worked, rather than hire more developers or shop for a new agency. Branded Bills has been using AI and agents across their organization with a lot of success already, and for her, it was only the logical next step to see if this challenge could be overcome with the tools now available.
Working with Jon, she helped build Billy, an AI developer tuned to how Branded Bills actually operates. Billy is a fully fledged Hermes agent, his chats live in Slack and OpenWebUI, and his agenda lives in ClickUp, driven by a dispatcher harness in the backend. He already knows the brand voice, the products, the catalog, and the messy history of past tickets.
I spend a lot less time managing development and a lot more time thinking about what we should build next. What Jon helped us build isn't just an AI tool, it's an entirely different way of working.
A day in the life
Someone asks for a change the way a human asks. Billy asks a few sharp questions so the wrong thing doesn't get built, files clean work items using custom templates, then hands back a live preview link the team can tap through and react to.
Nothing goes live without a person saying so. Billy can draft, clarify, and propose, but he can only file work as Pending Approval. A human sets the ClickUp status to "Ready for Agent" before any code gets touched. When the work is done, the team sees a draft change and a live preview. They leave comments and screenshots in plain English and decide whether it's done or needs another pass. If it misses, it goes back for a scoped revision on the same branch, or a clean retry that closes the old attempt tidily. When it's right, a real developer reviews the code before anything deploys.
When Billy gets blocked or hits something of real consequence, like customer-facing copy, scope creep, or anything judgment-laden, he asks instead of guessing, then moves the ticket to "Blocked" and pings the team. Vague tickets get tidied in a morning sweep, unanswered threads get chased after a day so nothing gets forgotten, and @Billy mentions actually get answered.
Rather than a two-week wait to move a button, work now moves at the speed Branded Bills wants to move.
What makes Billy unique and useful is his ability to remember and improve, powered by the Hermes agent architecture underneath. The brand voice, products, catalog, and decisions made on past tickets all accumulate within a RAG database instead of living in one developer's head. Skills and memories are created automatically behind the scenes as tasks repeat, so often-requested work becomes codified without regular user intervention and babysitting. Clarifications and revisions make each subsequent request faster and more context-rich, which is why self-improving agents get better over time rather than slowly devolving into brain-dead chatbots.
Happily ever after
We love stories with happy endings. Branded Bills' backlog now sits around 4-5 open tickets at a maximum, sometimes reaching the mythical inbox zero that legends speak of. Average time from request to shipped is down from estimates measured in tens of hours to autonomous actions finishing in ~15 minutes on average. Previews automatically generate as part of the process without waiting for links mid-to-end of a sprint. The team ships as many changes as they desire now, rather than being forced to choose between 5-10 smaller, important changes or 1-2 large, impactful projects.
The whole stack runs on a VPS in the cloud that costs about as much as a team lunch, and the monthly token bill ranges from $500-800 depending on how nuts they went with ideas.
We're getting more development done, faster, and at a tiny fraction of what it used to cost us.
Tangible intangibles
The number Tiffany cares about most doesn't have a dollar sign.
It's not just about saving development time. The process Jon and I have built gives me more freedom to focus on strategy, customer experience, and identifying opportunities instead of spending so much of my time managing tickets, scopes, and agency timelines.
This really hits on the overarching theme of what quality, bespoke agentic stacks can do to transform any area of a business. In this case, an awesome eCommerce director who finally gets to direct rather than spending her time as a glorified project manager.
What actually got replaced
An agency got replaced in this story, so let's say it plainly. Branded Bills stopped paying a development agency, and the work that agency was doing now happens inside Billy. The polite version of this ending leaves that out, and it makes for worse advice: if what you sell is a queue rented by the hour, an agent that already knows the brand, the catalog, and the last two years of decisions is coming for the queue. That's less a threat to agencies than a sorting. The part of the job that was always administration is now software.
Nobody at Branded Bills lost a job over it. Same team, same ideas, same Tiffany. What went away was the administrative middle: intake triage, scope calls, estimate volleyball, the hunt for an open calendar slot, and a retainer that billed the same whether anything moved or not. The judgment stayed. A person still approves every request before code moves, and a real developer still reads the diff before it deploys.
That's the shape of the agency worth hiring now. It used to be headcount against a backlog: you paid for capacity, and someone managed the exchange rate between your ideas and their calendar. An agent that writes and ships web code against your own context in minutes collapses that exchange rate, which makes the thing worth paying for installation. Build the stack, tune it to how the team actually works, wire the approval gates, then hand over the keys. The measure of a good engagement is how little you need us afterward, which is a lousy business model for anyone still selling queue time and a good one for anyone who'd rather be judged on what your team can do once we're gone.
When experimenting costs almost nothing, a team tries more, and when they try more, they learn faster than the brand next door that's still waiting on sprint planning. The catch is that cheap has to also be safe. Autonomy without a gate is just a faster way to break production, which is why Billy drafts, clarifies, and proposes, and why the point of all this speed is that you get to say yes more often, not that you stop saying it.