Nexus is a custom AI agent built for one business. It sits on your website answering customers around the clock in your voice, qualifies real enquiries from time-wasters, and creates content — social posts, emails, articles, descriptions. It is trained on your business, deployed on your own infrastructure, and protected by the 10-layer IRONCLAD security framework. Builds have been scoped for property, trades, clinics, professional services and corporate teams.

Chatbots follow scripts and decision trees. Nexus reasons. It understands context, handles real objections, writes original content, and adapts to each conversation. It can also be wired to live data sources you define — competitors, pricing, regulation — so it reports what changed. It runs on your infrastructure, not a shared platform where your data improves someone else's model.

Your business changes. New products, seasonal promotions, pricing adjustments, competitor shifts, security patches — the AI needs constant updating to stay accurate. Without the subscription the knowledge base goes stale and the agent starts giving wrong answers. The subscription keeps it sharp.

Yes. You own the code, the infrastructure it runs on — your Railway instance, your GitHub repo, your domain, your API key — and the knowledge base built from your business. The subscription keeps it maintained and current; it does not keep it switched on. Cancel and everything stays yours and keeps running.

One to two weeks from kickoff to live deployment. That covers knowledge base creation, system prompt writing, widget styling, security implementation and testing against real questions.

You are looking at one. The AI on this site is a Nexus, in the bottom right corner of every page. Ask it something hard. That is the product, live and working.

Your API and hosting costs run through your own accounts — typically $10-30 a month depending on traffic, on top of the $299 subscription. You control the spend and you can see it.

Yes. New features, new integrations, new channels, expanded capabilities — all available as custom builds. Your Nexus grows as the business grows. Contact us for a quote.

Shoppers can now buy Shopify products inside ChatGPT, Microsoft Copilot, Google AI Mode, the Gemini app and Meta, with checkout running on the Universal Commerce Protocol that Shopify built with Google and announced in January 2026. Adobe Analytics found AI traffic to US retail sites rose 393% year on year in Q1 2026, and that in March it converted 42% better than non-AI traffic — a complete reversal from a year earlier, when the same traffic converted 38% worse. An AI answer names one or two products. There is no page two to be on.

Yes, unless you have been in and turned it off. Shopify opted merchants in automatically on 12 January 2026 with a setting called "Allow Shopify to manage for me", at the top of Sales channels > Agentic in your admin, and it stays on until you switch it off. While it is on your eligible products sit in Shopify Catalog, direct checkout is live on the relevant channels, and you are enrolled in new AI channels as they launch — Meta became a default channel in September. Switch it off and you get individual control over catalog access, auto-enrolment and checkout, channel by channel. One catch worth knowing: turning off catalog access can take up to seven days before your product data actually stops being shared. Go and open that page before you do anything else. Most merchants have never seen it.

A person. I work through your catalogue myself using Claude, reading your products the way an AI assistant reads them before deciding what to recommend. It is not a plugin and not a crawler spitting out a template. That is the whole point — a script can tell you a field is empty, but it cannot tell you your description is complete, accurate and still too vague to win the recommendation against three competitors.

Shopify's checker confirms whether your pages carry structured data and whether robots.txt lets crawlers in. Useful, and you should run it. It is a pass or fail on plumbing. This is different: every product scored 0 to 100 on how well it actually competes for a recommendation, with the fixes ranked by impact so you know what to do on Monday morning. One tells you the door is unlocked. The other tells you whether anyone wants to come in.

Title quality, description depth, metadata, image alt text, structured data, FAQ structure, and how well each product answers the questions a buyer actually asks. It also checks whether your store exposes the files AI agents now look for — agents.md, llms.txt — and whether anything is blocking access in the first place. Adobe found roughly a third of retailer product pages cannot be properly accessed by AI at all, and product pages fare worse than homepages or category pages. That is a problem no amount of good copy fixes. Every product gets an individual visibility score and a specific list of what to change.

No, and anyone who promises that is selling you something. Answers vary between runs and no tool, agency or consultant controls what a model picks. What you can control is whether your product data gives it a reason to pick you. Right now most catalogues do not, because they were written for a human skimming a page rather than a model comparing four options. That gap is what the report measures.

Because a lot of it never touches your storefront. Where checkout happens inside the AI platform, there may be no page view behind the order at all, so your analytics undercount AI's influence rather than measure it. If you are judging this by referral numbers, you are judging it by the part that happens to be visible.

Yes. It reads your store's public product data, the same way an AI assistant would. Any Shopify store with products published to its online store can be scanned. No app to install and no admin access needed — just send the URL.

One to 24 hours depending on catalogue size. You receive a full report: every product scored, every fix listed, ordered by impact. It is yours to act on however you like.

Work through it yourself — it is written to be actionable, not to be sold back to you. The fixes are ordinary catalogue work: better titles, deeper descriptions, real alt text, the missing structured data. If the catalogue is too large to do by hand, get in touch and we can talk about doing it at scale. There is no obligation either way.

JFK Løvlien — Norwegian developer, author and AI builder based in Brazil. He has shipped an AI agent onto the Shopify App Store, a custom agent platform, and an iPhone game in Unity, all built solo with Claude and Claude Code. He also runs e-commerce stores, which is where the catalogue work came from. Built the technology, uses the technology, sells the technology.

Anthropic's Claude API for the intelligence, Railway for hosting, GitHub for code, and Node.js. Everything modern, fast and production-grade.

Every Nexus deployment is completely isolated — separate Railway instance, separate API keys, separate GitHub repo. Your data never touches another client's system and is never used to train anything. On top of that, a Nexus cannot spend money, delete data or execute code, so there is nothing for an attacker to hijack even if they get a message through. The IRONCLAD framework adds ten layers over that.

If you run a Shopify store, start with the ChatGPT Sales Scanner at $99 and see where you stand. If you want a custom AI system for any other kind of business, start with a one-hour consultation at $100 — everything real gets scoped there first.