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Category: AI

AI, Development

The two iron triangles behind every AI feature you ship

AI features face two sets of constraints: scope, cost and time while you build, then quality, inference cost and latency once the site is live. Includes a small PHP helper for estimating what each API call costs you.

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AI, Development

Contract-driven data mesh: breaking up the analytics monolith

Central data teams turn into bottlenecks once the warehouse gets big enough. Here is how a contract-driven data mesh splits it into domain-owned data products, and why the contract is the part that stops decentralizing from becoming a mess.

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AI, Bug Fixing, Development

Agentic AI for repositories: automating READMEs and CI

Writing the README and wiring up CI is the part everyone puts off. OSA is a multi-agent tool that reads the repository, drafts the docs and docstrings, and generates the workflow files. Here is how it works and how to run it.

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AI, AI in WordPress, Development

Claude Code internal tooling that actually saves time

Claude Code pays off when you build it tools instead of asking it for snippets. A CLAUDE.MD map, real WP-CLI commands, and a small plugin audit script turned a four-hour debugging session into a check that runs in seconds.

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AI, Development

Enterprise AI on-prem: running GPUaaS on Kubernetes

Notes from building a private GPU-as-a-Service platform on-prem: partitioning GPUs with MIG and time-slicing, keeping the cluster in sync with an idempotent reconciler, and working out the cost per million tokens before finance asks.

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AI, Development

AI project evaluation before you write any code

LLMs are non-deterministic, so three good prompts prove nothing. What to settle before you build an AI feature for WordPress or WooCommerce: the scenarios worth testing, KPIs that map to the business, and a log you can score later.

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AI, AI in WordPress, Development

AI agent prompt fidelity: verified data vs guesswork

AI agents rarely tell you which parts of an answer came from your data and which came from the model’s memory. Here is how to score that split in bits, and how a loose tool schema leaves the agent guessing.

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AI, AI in WordPress, Development

Commoditized AI software: why a donkey herd beats a unicorn

The SaaS moat is gone now that an agent can rebuild your product in an afternoon. Here is the case for a herd of small automated niche businesses over one unicorn, and the WordPress REST API and WP-CLI setup that makes running a dozen of them possible.

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AI, AI in WordPress, Development

Agentic RAG on SQL without changing your schema

Dumping a relational database into a vector store gives you a slow, expensive system that has forgotten its own schema. This covers hybrid retrieval instead: ReAct tool routing, why FAISS post-filtering returns nothing, and a PHP dispatcher for WordPress.

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AI, Development

Agentic AI supply chain: why dashboards can’t find the delay

Dashboards tell you a delivery was late. They do not say which team caused it. This post covers the MCP setup I use so Claude can read ERP, WMS and TMS timestamps and work out where the delay started.

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