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Tag: AI

AI, Development, E-commerce Development

Agentic AI supply chain: finding the delays nobody owns

A logistics director with all-green KPIs and 18% late shipments does not have a data problem. Scoped AI agents watching the TMS can tell you which handoff actually broke, and tell you on the morning it happens.

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AI, Development

Lasso regression and the geometry that stops overfitting

A house-pricing model with zero training error valued a suburban shack at $2.4 million. This is the geometry behind lasso: centering the data, the L1 diamond, and why landing on a corner zeroes a coefficient.

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AI in WordPress, Development

Studio Code Beta: a WordPress coding agent in your terminal

Studio Code Beta is a CLI coding agent for WordPress, built on Claude Code. It runs WP-CLI, spins up local sites, screenshots its own work, and validates block markup against the editor before inserting it.

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AI, Bug Fixing, Development

Causal inference analysis: what actually caused the spike

Naive before-and-after averages said the London tube strikes lifted bike usage by 5.5%. A two-way fixed effects model with clustered errors put it at 3.95%. This is why the second number is the one to trust.

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Development, E-commerce Development

Causal inference in business: match rigor to the stakes

Academic causal inference stalls in applied work. Decision gravity is the fix: constructive decisions can live with an associative read, final ones cannot, and collider bias is what catches the people who guess wrong.

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AI, AI in WordPress, Development

Claude Code performance comes down to your test loop

Vibes-checking AI output is the new bottleneck. What actually moved my Claude Code performance: terminal permissions for the agent, a test requested with every feature, and a no-stop rule until they pass.

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AI, Development

Disaggregated LLM inference and the GPU you are wasting

Prefill is compute-bound, decode is memory-bound, and running both on one GPU wastes most of it. Splitting them into separate pools, the KV-cache transfer tax that comes with it, and when it pays off.

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AI, Development

Why synthetic data validation fails production models

A synthetic dataset can pass every standard check and still lose the correlations, rare events and privacy margin that your model depends on. Here are the three checks I run before shipping one, with the Python for two of them.

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AI in WordPress, Development

Solving the multi-armed bandit problem in WordPress

A static A/B test keeps sending half your traffic to the losing variation until someone stops the test. Thompson sampling moves the traffic as the numbers come in. Here is the Beta distribution behind it and how to store the state in WordPress.

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AI, Development

Build a Kindle AI summary pipeline with Ollama and Python

My Clippings.txt is an append-only mess, and the expanded highlights inside it will wreck any summary you generate from the raw file. Here is the parser, the deduplication logic and the local Ollama call I use instead.

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