If you can name the symptom, I can name the cause. Each fix is scoped to one named problem, with a defined end and a clean handover. Not another plugin. Not another retainer.
25
Years in technology
100+
Verified client reviews
37+
BX1X production modules, no drift
1st
Page Google ranking, Cape Town SERP
Each route opens to a deeper page that names the failure modes and the engagement that fixes them. Pain-first, named the way you would search for it.
Your AI-built prototype demos beautifully. The moment it has to handle real customer load, the security, structure, scaling, maintenance, and support gaps the AI never wrote become your problem.
See the vibe-coding fixes›POS sync failures. B2B store credit you cannot apply on draft orders. Service bookings that do not fit checkout. FBA orders that break inventory. Apps and spreadsheets only half-solve these.
See the Shopify operations fixes›Intermittent database errors that survive every host call. Login friction that five plugins cannot fix. Plugin conflicts you cannot pin down. Codeable Certified Expert. 150+ WooCommerce projects since 2011.
See the WooCommerce rescue cluster›Inventory counts wrong by the time anyone reads them. Purchase orders managed across three tabs. Product data taking a third of the week. Time to replace the spreadsheet with a real system.
See the spreadsheet replacement path›Search visibility is now two surfaces, not one. Pages built to rank in Google search results and to be cited in ChatGPT, Claude, Perplexity, and Gemini answers. One system, two ranking surfaces.
See the dual-rank approach›Every plugin is a dependency on someone else's update schedule, security record, and willingness to keep the plugin alive. Plugin chains tend to fail in the order you cannot debug.
Asking an LLM to fix the code it just wrote works for the first three iterations and then drifts. The codebase ends up with seams nobody understands.
When the spreadsheet is the system of record, every new staff member is a new way for the data to drift.
A retainer pays the agency to be busy. A scoped fix pays for the fix.
The audit is the engagement. A free audit trains the wrong expectation before the engagement starts.
Not a monthly retainer. A scoped fix, named at the start, finished at the end, with a clean handover.
No account managers. No handoffs. You work directly with Anton from first conversation to final handover.
“Show me something you built that is running in production right now. Not a demo. Not a notebook. A system that real users depend on.”
Here are mine. Open them. Inspect them.
37+ modules. Multi-tenant. Multi-year. No drift.
Live production cybersecurity app, accessed daily.
Custom POS built over 13 months. Production every day. Open the live demo.
Patient records, dental charting, appointments, billing, medical aid claims.
Twenty-five years in technology. The systems are live. The links work. Open them before the call.
Each article walks the symptom, the diagnosis, and the engagement I would propose. Read the one that matches your situation; the assessment is the route to validate the approach against your specifics.
Marketplace Connect creates and fulfils Amazon orders in Shopify. It does not modify Shopify inventory. The drift compounds quietly until oversells start. Here is the engineering reality and the reconciliation layer I would build.
Stock counts wrong by the time anyone reads them. Cash tied up in slow stock. Out-of-stocks missed. Product data eats a third of the week. Here is the decision tree for off-the-shelf vs custom, and the build path I would propose.
Every product update has to happen two or three times. Metafields and media drift between stores. The team spends hours each week reconciling instead of selling. Here is the architecture for a Shopify-native PIM layer and how I would build it.
Your AI-built app is alive. Every new change breaks something. Every fix takes longer than the last. Maintenance debt compounds weekly. Here is the diagnostic method, the catalogue of debt patterns, and the stabilisation engagement I would propose.
Your AI-built app handled five users beautifully. At fifty it slows. At five hundred it corrupts data. The LLM wrote the happy path under no concurrency. Here is the catalogue of scaling failure modes, the diagnostic method, and the production-hardening sprint I would propose.
Your AI-built app works. The codebase has no coherent boundaries, no naming convention, and no rules for how change happens. Every fix introduces two new bugs. Here is the diagnostic method, the architecture work, and how I would approach the cleanup.
The original LLM session is gone. The freelancer left. A bug breaks the app at 2 a.m. and the new developer takes a week to orient. Here is the diagnostic method and the takeover engagement I would propose to make a vibe-coded app supportable.
The site comes back after a refresh. Server resources look normal. The database is small. The host says everything is fine. The error returns the next day. Here is the catalogue of real causes, the diagnostic method, and the lasting fix.
You want phone-OTP login, social sign-in, passwordless flow, and a custom my-account experience. Five plugins later, the login still feels stitched together. Here is the engineering approach to building the premium account UX a serious WooCommerce store actually needs.
B2B buyers ring or email their order. Your team builds a draft order in the admin. The customer has store credit on their account. You cannot apply it. So you reach for a discount code and a spreadsheet, and the reconciliation gets worse every month. Here is the engineering reality and the fix path I would propose.
Six tablets that haven't seen new products in two weeks. Force-close, reinstall, log out, log in. The till is now a guessing game. Here is how I diagnose Shopify POS sync failures, the five failure classes you typically hit, and how I would approach the fix.
Your AI-built app demos beautifully. Nobody has checked whether it is safe to put in front of real customers. Here is the catalogue of gaps AI-generated codebases ship with, the diagnostic method I use to find them, and how I would approach the hardening sprint.
No. Each fix is scoped to one named problem with a defined end and a clean handover.
No. You work with Anton directly. If scope expands beyond direct work, the engagement is named and routed, not handed over.
No. Free audits give consulting away before the engagement starts. The assessment is paid and produces a written diagnosis you can act on regardless of whether you proceed with the fix.
Two to four hours of focused work, plus a written diagnosis returned within a week.
Often, yes. The clusters listed are the highest-volume ones. The assessment confirms whether your problem fits.
A written diagnosis, a fix path with options, and a scoped engagement quote. You keep the diagnosis whether or not you book the fix.
Anton, direct, for specialist rescue, custom builds, and integrations. Villiers Vision Works for broader systems and platform work. Private AI-app consultation where a governed AI pipeline is the right fix. The assessment names the route. You decide.
One form field. One or two sentences describing what is broken. Phone and email visible if you would rather call.