Practical AI implementation + software engineering for ecommerce brands + agencies. We turn recurring work and fragile prototypes into systems your team can run and own—from reporting and team AI workflows to Shopify QA and app handoff.
Four focused builds from $7.5K. Direct founder delivery. Start with a free fit call.
Bring the work that keeps coming back. We’ll tell you which build fits—or when an existing product or simpler process is the smarter answer.
Your team already has the data. It still spends each week reconciling numbers, taking screenshots, rebuilding slides, and explaining what changed.
We replace that repeat work with one reporting workflow that shows the right answer, its source, its owner, and the next action.
From $10K · 3–5 weeks
A theme, app, promotion, or release changes. We check the journeys that matter before launch and keep checking as the site changes.
Launch QA, scheduled monitoring, evidence-backed alerts, and test maintenance—using existing tools or custom checks where they fit.
Setup from $7.5K · 2–4 weeks · ongoing coverage available
Useful AI work is scattered across private chats, prompts, docs, and one person’s habits. The team keeps starting over.
We turn one repeated job into a shared workflow with trusted sources, examples, human review, and a clear owner.
From $10K · 4–8 weeks
A useful app now has real users, money, or data behind it. Its maker is still the only person who can safely change or run it.
We add the tests, controlled releases, warning signals, recovery, and handoff it needs—without assuming a rewrite.
From $10K · 3–6 weeks
Plenty of providers gate you behind a paid audit just to start. We don’t—the fit call is free. But if you’d rather have evidence in hand before a build, a bounded, graded audit gives you exactly that, and points to the fix that matters most.
Every audit funnels into one of the four builds above—but none is required to begin. Prefer to just talk it through? Book the free fit call.
We do not begin with “let’s automate everything.” We begin with one consequence, one owner, and an observable finish line.
Map the people, source, decision, failure, and business consequence.
Stop, clarify, configure, connect, or build only what the job requires.
Agree on acceptance, show a working slice early, and test the failure path—not only the happy path.
Transfer access, evidence, training, limits, recovery steps, and a named owner.
Every build ends with a working system, an ownership pack, and a 30-day window for EVC to fix in-scope defects in our work.
Good fit: one named workflow or app, a real consequence, and someone who will own it. Not a fit: “automate everything,” 24/7 operations, compliance certification, or an open-ended backlog.
No. Tell us what keeps coming back, who relies on it, and what happens when it goes wrong. We will map that to a build—or tell you a simpler path fits better.
You own the work in your accounts, plus its access, documentation, evidence, training, limits, recovery steps, and runbook. Every build includes 30 days of in-scope defect support; Shopify monitoring and test maintenance can continue after setup.
If one of the four builds fits, we schedule a scope call and send a fixed proposal with users, sources or environments, acceptance, exclusions, timing, and price. If it does not fit, we say so.
No sales handoff to an anonymous delivery team. Matt and Mike stay involved from fit and scope through implementation, adoption, and ownership.
Matt sees what the workflow must do for the business. Mike sees what can break when it becomes real. EVC gives you both kinds of judgment in the same build.
Co-founder · Technical lead
building and operating production software
Mike is a senior DevOps engineer on an AI tools team at a public company, supporting 10,000+ engineers. At EVC, he turns fast output into software another qualified person can test, release, recover, and own.
Co-founder · Commerce + delivery
across ecommerce brands, agencies, SaaS, operations, and creative
Matt translates the technical work into the business job: who uses it, which decision it supports, what failure costs, and what the team needs to adopt it after EVC leaves.
What DIALED shows: Mike takes a complicated release problem and turns it into a clear system with stages, checks, and recovery. That is the value of the framework—not the repo itself. Clients get fewer hidden assumptions, safer changes, and a system their team can operate after handoff. Inspect DIALED on GitHub →
One report, storefront, AI workflow, or useful prototype. We’ll tell you whether EVC fits—and when a simpler answer is better.
Prefer email? matt@enterprisevibecode.com
