Gemini’s open-vocabulary detection removes the label-thousands-of-images step from a vision pipeline. Notes on structured JSON output with Pydantic, editing detected regions with Nano Banana, and the rate limits that show up in production.
WordPress.com built its new AI Assistant directly into the block editor and Media Library. It edits blocks and generates images with Google’s Gemini models, though full layout control needs a Block Theme.
Research on 13 LLMs in simulated markets found the agents holding price floors nobody asked them to hold. For a WooCommerce store running an AI pricing plugin that is an antitrust problem, and the fix sits in how the pricing logic is written.
Claude Code pays off when you build it tools instead of asking it for snippets. A CLAUDE.MD map, real WP-CLI commands, and a small plugin audit script turned a four-hour debugging session into a check that runs in seconds.
AI agents rarely tell you which parts of an answer came from your data and which came from the model’s memory. Here is how to score that split in bits, and how a loose tool schema leaves the agent guessing.
The SaaS moat is gone now that an agent can rebuild your product in an afternoon. Here is the case for a herd of small automated niche businesses over one unicorn, and the WordPress REST API and WP-CLI setup that makes running a dozen of them possible.
Dumping a relational database into a vector store gives you a slow, expensive system that has forgotten its own schema. This covers hybrid retrieval instead: ReAct tool routing, why FAISS post-filtering returns nothing, and a PHP dispatcher for WordPress.
Telex can now take a Figma mockup or a napkin sketch as input, hand you a zip to refactor in VS Code, and accept it back for another AI pass. It also supports 7 languages and stopped breaking multi-byte output mid-stream.
Core has to decide whether the WP AI Client merges into WordPress 7.0 before Beta 1 on February 19, 2026. My read on the Abilities API friction in ticket #64596 and what a provider-agnostic client changes in plugin code.
Notes on PyTorch distributed operations: what NCCL is doing under the hood, why synchronous and asynchronous do not mean what you would guess, and how a missing wait call hangs a rank forever.