AI implementation consultancy for WordPress, headless commerce, and content operations

Anthropic Claude (Sonnet, Opus, Haiku) is the default for production agents; OpenAI GPT-4 / GPT-5 for editorial drafting where the style is a fit; self-hosted Llama or Mistral when data residency or cost rules out hosted APIs. The model is a parameter, not the project.

Yes. Both are the canonical integration surface in WordPress 7.0 and later. I covered the Abilities API and the AI services registry in the WordCamp Portugal 2026 recap; the implementation pattern there is the one I use in client work.

Yes. For B2B teams running Claude Enterprise, ChatGPT Enterprise, or self-hosted agent stacks, I ship custom skills and MCP servers that expose internal WordPress and WooCommerce operations as agent-callable tools - audit pipelines, content workflows, draft-to-publish loops, admin actions. The skill or MCP server is the engineering deliverable; the client team owns it in their own catalog. This is distinct from one-off chatbot integrations: skills compose into a team's daily agent workflow and stay maintainable because the contract is in the repository, not a UI.

No, and selling that as a service would be a misrepresentation. AI compresses the cost of specific tasks (drafting, audit, tooling) inside the engineering work; it does not replace the decisions about architecture, security, compliance, or business outcome that the engineer is paid for.

PII does not leave the client's jurisdiction without an explicit transfer mechanism in the contract. For EU clients with sensitive data, the practical answer is usually a self-hosted model on EU infrastructure with audit logging, not a hosted API. The architecture decision sits in the discovery phase, not at deployment time.

Each engagement is quoted individually after reviewing scope, data sensitivity, model selection, and integration complexity. The cost model is delivered as part of the engagement so the operational cost per 1k operations is known before scale-up.