Building alongside the AI.
Increasingly use the AI as leverage: automating repetitive work, generating and translating content, and wiring frontier models into pipelines that hold up in production.
Dev, SEO, and blockchain aren't separate lanes.
A WordPress build needs the SEO architecture baked in from day one, and the AI/automation layer increasingly sits underneath both.
Two sites. Real numbers. Zero ad spend.
No case studies from the agency-side work below - client confidentiality. But these two are mine to show, and both numbers are pulled straight from Google Search Console.
Local gardener, WordPress
Built the site, structured the on-page SEO, and left it alone. Google found it and started ranking it on technical fundamentals - heading structure, schema, and clean architecture - with no backlinking or promotion behind it.
House of Bitcoin
My own infrastructure and treasury-tracking build - early days, actively adding features. Included here because it's the one project where I control every layer end to end: infra, SEO, and the AI/automation on top.
What's actually on the desk.
Alongside the freelance work above, I hold working access to sites run through major London and US agencies - can't name accounts, but the scope of what I touch is the same regardless of client size, and it's all auditable: I can walk a client or agency through live Search Console, PageSpeed, or schema data on any site I'm working on.
Website editing & development
WordPress builds and edits, fixing broken code and broken links, plugin and theme work, ecommerce and booking systems - across small business sites and larger agency-managed accounts.
Technical SEO, audited
Heading structure (H1/H2 hierarchy), backlinking, content oversight, and full technical audits - benchmarked with Google Search Console, PageSpeed Insights, and structured data testing, not guesswork.
Domains, DNS & email deliverability
Domain and DNS management, networking, and email deliverability (SPF/DKIM/DMARC) - the unglamorous layer that decides whether a site stays up and its email actually lands.
Python & AI automation
Python scripts that bring AI into the workflow - automating repetitive SEO and content tasks, generating and translating content, and routing work across multiple models in production.
90-100 PageSpeed.
Optimisations for every build: efficient resource loading, strategic CDN usage, minimal JavaScript, optimised images, and caching strategies. Target is 90-100 on PageSpeed Insights, desktop and mobile - checked against the live tool, not claimed from memory. The gardener site above and House of Bitcoin are both run this way; happy to pull up either in Search Console or PageSpeed on a call.
AI Integration.
AI features are only as reliable as the infrastructure carrying them. This is the part most "AI integration" work skips - and where ten years of infrastructure and SEO discipline actually pays off.
Infrastructure scaling
Multi-language deployment, CDN strategy, domain portfolio management, database architecture, and performance optimisation for sites and services that need to hold up under real traffic.
API integration & routing
Setting up multi-model routing, provider management, API key rotation, fallbacks, cost control, and structured output pipelines - so AI features stay reliable and affordable in production, not just in a demo.
Big Data.
A typical pipeline pulls from databases, external APIs, and services, then routes that data through frontier models - tied together with Supabase, webhooks, and automation workflows. The AI handles the pattern-matching and generation; the engineering makes sure it's reliable, cheap enough to run at scale, and fails gracefully when a provider doesn't.
AI hasn't replaced this work - not yet. I'm not waiting to find out; I'm working alongside it, using it to do more of the work I already know how to do, faster and at scale.
Open for the right freelance work.
charlie@houseofbitcoin.org
London ยท Remote-first
github.com/bitcoindevelopment
linkedin.com/in/mxx
x.com/bitcoindevops