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Tag: AI

AI, E-commerce Development

Agentic commerce in WooCommerce: the latency problem

Beau Lebens talked about agentic commerce at Stripe Sessions, where AI agents do the shopping. My take on the hard parts: live inventory data, checkout security for bots, and what MCP and the Abilities API actually change.

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AI, Development

AI architect vs data scientist: what the job is now

The data science job has moved. Production AI in 2026 is mostly orchestration: async APIs, vector databases and cost per request. Here is what changes when you start working as an AI architect instead.

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AI, AI in WordPress

The step most LLM summarization pipelines skip

LLM summarization pipelines invent facts when the schema demands a value the transcript cannot support. A three-stage design, extraction then synthesis then an audit stage that can only weaken claims, and why empty sections are correct.

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AI, Development

Scenario modelling when the noise beats the signal

Why scenario modelling is mostly about calibrated uncertainty rather than clean predictions, using an English local elections case study and a small PHP class for bootstrapping residuals.

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AI, Development

Why the 2021 EDEN vector quantization algorithm still wins

A 2021 vector quantization algorithm called EDEN still outperforms its 2026 successor TurboQuant, and the reason comes down to how each one handles the scale parameter S.

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AI, AI in WordPress

CSPNet architecture: a lighter CNN that keeps its accuracy

The CSPNet architecture splits feature maps so a lighter CNN does not cost you accuracy. What it fixes in DenseNet, how the two paths work, and the PyTorch code for the bottleneck block.

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AI in WordPress, Core Updates, Development

WordPress Core AI: the MCP adapter goes standalone

Where the WordPress Core AI work stands before 7.0: the MCP adapter moving to a standalone plugin, the connector approval experiment, and a release plan that puts polish ahead of new features.

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AI, AI in WordPress, Development

Build an AI context layer so your LLM stops forgetting

RAG re-derives everything on every query, so nothing accumulates. This is the Raw and Wiki folder layout, the three control files, and the daily, weekly and monthly jobs I use to keep an AI context layer my agents can read.

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AI, Core Updates, Development

WordPress 7.0 AI framework and the connector approval catch

WordPress 7.0 (Armstrong) is past the foundational AI work and into ecosystem plumbing. The connector approval experiment blocks plugins from your API keys until an admin says otherwise, and RC1 lands May 14, so provider plugins need updating now.

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Bug Fixing, Development

Python type annotations that keep data pipelines stable

Dynamic typing is fine in a notebook and expensive in a long-running pipeline. Notes on using type annotations, TypedDict, Literal and union types so a bad value fails at check time instead of four hours into a run.

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