WordPress.com has added 19 write abilities to its MCP integration, so an agent can create posts, pages, media and terms. Drafts by default, explicit approval before every change, and your own role still caps what it can reach.
A readmission model with 94% accuracy made things worse because it found a correlation, not a cause. Where Pearl’s ladder of causation comes in, and how DoWhy’s four steps keep you honest.
Same ten numbers, two different variances. NumPy defaults to the population formula and Pandas to the sample one. Here is what ddof does and how to set it so your pipeline and your prototype finally agree.
Mean imputation and unclipped outliers are what break credit risk models. This covers splitting first to avoid leakage, IQR clipping with training-set bounds, and what to do when the missingness itself is informative.
An agent turned a missing database index into a 500-line middleware layer. What I do differently now: plan mode before any code, core WordPress functions first, and a read through the tool calls rather than just the final file.
Popularity sorting puts the same big chain at the top of every shelf. A lightweight two-tower embedding setup, with a frozen TinyBERT on the item side, ranks restaurants by what the user is browsing for.
The @wp-playground/mcp package lets an AI client drive a Playground instance over MCP: run PHP, write files, query the database and check the front end, all inside the browser.
Efficiency is one slice of AI value, not the whole thing. Where automation, augmentation and innovation each show up, why the accuracy tax cancels out saved hours, and how to queue an AI fraud check so it never blocks checkout.
Prompt caching gets all the attention while the expensive work happens before the model sees a token. Five places to cache in a RAG pipeline, from query embeddings to full query-response pairs, with a transients example for WordPress.
The API bill is the usual reason teams look at their own hardware, and privacy is the better one. Which benchmarks to trust for agents, how far you can quantize before logic breaks, what a single A100 on GCP costs, and serving Qwen 3.5-27B with vLLM.