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Tag: AI

AI, Development

Enterprise RAG systems: how to ground AI in your data

An LLM pointed at a folder of documents will confidently quote a 2019 policy at a customer in 2026. What decides whether a RAG pipeline holds up is the chunking, the retrieval and the evaluation, not the model you picked.

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AI, Development

Model collapse and the case for deep web data

Models trained on the output of earlier models lose the tails of the distribution and drift into nonsense. The clean data sits behind logins, and the PROPS framework is one way to train on it without anyone handing it over.

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AI, AI in WordPress

Agentic AI transparency without the black box or the log dump

Two bad defaults for agent UIs: hide everything behind a spinner, or stream every raw log. What I map instead, and how I decide which agent decisions a user actually needs to see.

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AI, Development

Open source MMM: marketing mix modeling you can audit

Proprietary MMM platforms hand you a number and hide the math behind it. This is the stack I use instead: Google Meridian for the Bayesian side, a local Mistral 7B to turn coefficients into something a marketing manager can act on.

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AI, Development

Behavioral biometrics analysis: why MFA alone stops working

A RAT sitting on the victim’s own phone gets a clean IP, a real device fingerprint, and a valid MFA code. What it cannot fake is how the owner scrolls, and that is the signal behavioral biometrics reads.

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AI, Core Updates, Development

WordCamp Asia 2026: what the Mumbai schedule is telling us

The WordCamp Asia 2026 schedule is out: Mumbai, April 9 to 11, leaning hard on AI, enterprise scale, and the Interactivity API. My notes on which sessions are worth a slot in your day.

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AI, AI in WordPress

A speaker guide for WordPress Core AI projects needs review

The Core AI team has a draft guide for anyone presenting on Abilities, the AI Client or the MCP Adapter at a WordCamp or meetup. Comments on it close on 21 April 2026.

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AI, AI in WordPress, Development

Embedding models: how AI search actually finds a match

Embedding models turn text into coordinates, and that is what vector search is really matching on. This covers tokenization, chunking, cosine similarity and fine-tuning a model so it fits your own catalog rather than the general web.

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Development

Why I skipped the 8GB MacBook Neo for dev work

The $599 MacBook Neo pairs a fast A18 Pro chip with 8GB of soldered memory. I go through where that 8GB runs out during local development and data work, and the few people I would still recommend it to.

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AI, AI in WordPress, Development, E-commerce Development

AI in WooCommerce workflows: the missing piece is context

AI tools guess at your store because they cannot see it. MCP gives them real context: your files, your data, your WP-CLI. We talk it through at WooCommerce office hours on April 15, 2026, on Slack.

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