Showing 13–21 of 21 articles tagged Agentic AI

What I learned from prototyping voice reception for service businesses, and the latency, authority and handoff work required before production.

Most teams evaluate agents with manual chats and gut feel. A practical framework for eval suites that let you ship, starting with 20 examples, not 20,000.

If your AI roadmap succeeds, customers need fewer seats and you earn less revenue. The fix: price around the units of work completed, not user logins.

The shift is from prompt engineering to designing multi-agent hierarchies: AI managers overseeing AI workers that operate invisibly in the background.

AI is not a feature, it is a new compute paradigm. Bolting GenAI onto legacy platforms destroys unit economics. If the AI is optional, it's a gimmick.

Google's A2UI signals the end of the chatbot text wall. Agents that render native UI components instead of paragraphs change what product teams build.

A 5-step agent at 95% accuracy per step is only 77% reliable. The path forward isn't better agents, it's narrower ones. Three rules for workflows that ship.

Google is testing native property listings in search. AI broke the constraint that stopped them in 2011. The aggregator model dies when the user is an agent.

Strip the vendor marketing from Google's AI Agent Handbook and three stack-agnostic architectural patterns emerge that every product builder should steal.