WordPress Media Library attachment and generated-size workflows.

WebP image conversion and serving proof for WordPress media workflows.

Local and self-hosted language model workflows, including open-weight models, quantized builds, and local inference.

Self-hosted image-generation workflows using diffusion models and reviewable output queues.

Using LLMs to speed implementation, triage, drafting, debugging, and QA while keeping human review on external actions.

LLM-supported workflows for classification, drafting, review queues, decision support, and handoff generation.

Internal systems where AI helps route, summarize, classify, or prepare work without replacing operator control.

Technical SEO work that supports AI search, AEO, and GEO (Generative Engine Optimization): crawlability, entity clarity, structured data, answer-first sections, and measurement.

Answer-first technical SEO and content structure work for AI search surfaces and conventional search.

Automation that prepares, filters, and routes work while keeping approval and external action under human control.

Wrapping local or self-hosted models behind APIs, queues, and controlled workflow surfaces.

Using multiple LLMs for drafting, critique, rewrite comparison, tone variation, and quality control.

Image performance cleanup, conversion, validation, and evidence around WordPress media libraries.