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AI & ML articles
Hands-on guides to shipping LLM features: retrieval-augmented generation with pgvector, tool-calling agents, Model Context Protocol servers, structured outputs and evals, and AI integrations inside PHP and WordPress.
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AI & ML
Model Context Protocol Explained: Build Your First MCP Server
Learn what the Model Context Protocol is, why it replaced bespoke tool integrations, and build a TypeScript MCP server that exposes WordPress data to Claude and Cursor. Read the articleIntegrating LLM APIs into PHP and WordPress: A Practical Guide
Add AI features to PHP and WordPress safely: a cURL client with retries, streaming via SSE, prompt caching, cost control and a real content-summariser plugin walkthrough. Read the articleAI Agents with Tool Calling: Architecture Patterns That Actually Work
Move beyond chatbot demos. Compare the ReAct loop, planner-executor and router patterns for AI agents, with a TypeScript tool-calling loop, guardrails and cost limits. Read the articlePrompt Engineering for Developers: Structured Outputs, Schemas and Evals
Treat prompts as code: JSON schema outputs, few-shot examples, system prompt layering, versioning and automated evals so your LLM features stop breaking in production. Read the articleSemantic Search for eCommerce with Embeddings and pgvector
Replace keyword-only product search with embeddings. Schema design, hybrid ranking with BM25, WooCommerce and Shopify sync strategies and the latency numbers I measured. Read the articleWork with meWeb development services All articles
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