Most sites do not need to go headless. This walks through when the architecture is worth it, how your rendering choice (SSG, SSR or ISR) changes the hosting you need, and what to check on the WordPress backend before you commit.
Calvin Ho’s Taipei agency builds Web3 and CRM integrations on WordPress.com instead of a self-managed VPS. What that choice buys them, the transient-cached API pattern behind it, and what self-hosting really costs in dev hours.
One LLM cannot draft emails, read documents and optimize a sales pipeline well. A look at splitting the work across reasoning, orchestration and execution layers, with TD learning doing the sequential decisions.
Metric depth, class-agnostic segmentation and geometric fusion turn ordinary photos into a labeled 3D scene. Includes the KD-tree voting code that took label coverage from about 20% to 78% of a point cloud with no extra annotation.
WordPress.com shipped an alpha Telegram bot for managing a site from your phone, opened Studio Sync to Personal and Premium plans, and split MCP read and write tool access per site.
Voice picking used to mean vendor-locked hardware. ElevenLabs voice AI does the same job off an ordinary smartphone, and this covers the WordPress side of it: a cached text-to-speech wrapper, plus the latency and noise problems that sink most builds.
WooCommerce 10.7 is mostly a performance release: the /wc/v4/orders endpoint drops from 271 queries to 132 and checkout loses about 15% of its SQL. It also ships a Fulfillment API beta and moves the Fulfillments namespace, which breaks old use statements.
Jetpack now lets you comp a paid subscription from the Subscribers screen, so gifting access no longer means a custom VIP role and a pile of expiring metadata. Here is what changes, plus the math on Substack’s 10% cut.
WordPress AI Plugin 0.7.0 adds content classification that can stick to your existing terms, context-aware meta descriptions, bulk alt text in the Media Library, and a filter for system instructions.
VLA models put vision, language and motion in one latent space instead of three separate pipelines. Notes on why that unification works, and how action tokenization, diffusion heads and flow matching differ once the model has to output real movement.