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Latest tutorial Advanced WordPress Topic Audit AI Plugin REST Routes: A WP-CLI Command That Flags Missing permission_callback Build a WP-CLI command that walks every registered REST route, flags __return_true and missing permission_callback values, and fails CI when AI endpoints are exposed. Read tutorial

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Advanced WordPress Topic October 28, 2026 AI Drafts, Human Approval: Build a “Needs Review” Workflow for AI-Written WordPress Posts Register an ai_review post status, route AI output into it, then add a capability-gated diff metabox that logs the approving user before… Read tutorial

Advanced WordPress Topic October 26, 2026 Bulk-Generate WooCommerce Product Descriptions with the OpenAI Batch API and a WP-CLI Review Queue Build a WP-CLI command that queues empty WooCommerce products into an OpenAI Batch job, stages the copy as pending meta, and lets… Read tutorial

Advanced WordPress Topic October 25, 2026 Expose WordPress to an AI Agent Safely: Read-Only Abilities with the Abilities API and Permission Callbacks Register read-only WordPress abilities with wp_register_ability, lock them down with permission callbacks and strict schemas, then hand them to an LLM as… Read tutorial

Advanced WordPress Topic October 24, 2026 Build a Provider-Agnostic AI Client for WordPress: Anthropic, OpenAI and Gemini Behind One wp_remote_post Wrapper One PHP class, three AI providers. Normalise OpenAI, Anthropic and Gemini chat calls through wp_remote_post, keep keys in wp-config, and swap models… Read tutorial

Advanced WordPress Topic October 23, 2026 Stop Leaking OpenAI Keys in WordPress: Build a REST Proxy with Capability Checks, Rate Limits and Logging Keep your OpenAI key in wp-config, then expose a locked-down WordPress REST proxy with capability checks, nonce validation, transient rate limits and… Read tutorial

Advanced WordPress Topic October 22, 2026 Prompt-Injection Hygiene for WordPress AI Plugins: Sanitising User Input, Locking Tool Boundaries and Validating Model Output Build a reusable guard class for WordPress plugins that call an LLM: sanitise user text, delimit untrusted data, whitelist tools, validate JSON… Read tutorial

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