Few-shot prompting for WordPress code you can ship
Zero-shot prompts make the model guess your coding standards. Feeding it two or three working examples from your own code gets output that matches your prefixes, namespaces and security patterns.
Category: AI in WordPress
Prompt engineering sophistication sets the ceiling
Anthropic’s January 2026 report puts the correlation between prompt sophistication and response sophistication at 0.925. Prompt engineering did not die, it moved from magic phrases to knowing your domain well enough to frame the problem.
WordPress.com MCP integrations now run on OAuth 2.1
WordPress.com switched its MCP server to OAuth 2.1 with PKCE, so AI agents no longer need long-lived tokens pasted into a config file. What the code verifier protects against, and what an authorized agent can do on your site.
Knowledge graphs and the WordPress post meta problem
Most WordPress sites keep their data as loose post meta rows. Healthcare got further by agreeing on shared ontologies before writing any code, and the same approach works in a WordPress codebase, from CPT design through JSON-LD output.
What the WordPress Abilities API actually shipped in 6.9
The WordPress Abilities API landed in 6.9 Beta 2, minus the JavaScript registration, which moved to a standalone NPM package in the Gutenberg repo. Notes on that split, the AI Experiments plugin, the WP AI Client 0.1.0 plan and the MCP Adapter refactor.
AI workflow automation in a warehouse that runs on clipboards
Low-tech logistics companies do not need AGI, they need to stop counting stock with a pen. Voice-driven inventory counts in n8n, damage reports generated from a photo, and a WordPress REST endpoint that takes the data in without breaking WooCommerce stock.
AI customer journeys require structural metrics, not tone
Perplexity and BLEU tell you nothing about whether an automated customer journey actually goes anywhere. The CDP framework scores continuity, deepening and progression against a taxonomy of journey stages instead.
Detect LLM hallucinations with vector geometry, not a judge model
LLM-as-judge asks a model that hallucinates to catch hallucinations. Displacement Consistency scores the vector between a question and its answer against grounded neighbors instead, with no source document and no second model call at inference time.
WordPress PHP AI Client SDK v0.1.0: one API, any provider
The Core-AI team shipped v0.1.0 of the WordPress PHP AI Client SDK. It is a provider-agnostic Composer package you bundle into your own plugin, so swapping the LLM behind a feature stops being a refactor.
Refactoring legacy WordPress code in Cursor without breaking it
Cursor turns a four-hour refactor into a 20-minute one, but only with a plan. My four steps: spot the trigger, write a plan.md, let Claude execute with test scripts, then compare the output against the original.