Practical insights on building custom AI agents, agentic workflows and automation - for businesses and professionals who want to put AI to work.
A practical checklist for choosing your first AI agent workflow: value, data, permissions, human review, testing and measurable outcomes.
Microsoft and Uber show why AI agent costs can spike when token usage scales. Learn why efficient agent design matters before bills run away.
The more work we hand to AI agents, the more our judgment and guardrails matter. Two principles for building agents you can actually trust - and a hands-on way to learn them.
AI agents are becoming the way work gets done. Learning to build one - even a simple one - is fast becoming a core skill for every professional, not just engineers. Here is why, and how to start.