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11 articles on ai & agents
AI agents are starting to browse, compare, and buy on shoppers' behalf. Here's what Google's UCP and OpenAI's ACP protocols mean for e-commerce sellers.
A dozen multi-agent frameworks competed in 2024. In 2026 it's three, and they're not really competing on the same thing anymore. Here's the honest breakdown.
86% of enterprises now run AI coding agents in production, not pilots. Here's what the 2026 adoption, productivity, and spend data actually shows.
Context engineering is the craft of filling the LLM's context window with just the right information for the next step. Here are the failure modes and the techniques that fix them.
Tokens are money and latency. Here are the practical levers — prompt caching, context pruning, structured output, batching, and model routing — that cut both without cutting quality.
Vercel's Agent Browser gives AI agents a real browser they can operate — not just read. Here's what it is, the screenshot-plus-element-reference model behind it, and where it fits.
From a Chevy dealer selling cars for $1 to DPD's bot writing hate poetry about itself — what happens when you deploy GenAI without guardrails, and how the industry is finally taking control.
Ten composable AI agent patterns — from prompt chaining to multi-agent orchestration — with plain-English explanations, ASCII flow diagrams, and working Python examples.
Plain-English explainer on LLMs — tokenisation, embeddings, attention, what 1 billion parameters means, why training costs $100M, and why inference costs money every time you ask.
