AI Agents
AI agents are LLM-powered systems that don't just answer — they plan steps, call tools and drive a task to completion: writing code, searching the web, booking, analyzing. 2026 became the year of agents, from coding agents to autonomous researchers. This page gathers all our coverage of agentic AI: launches, protocols (MCP, A2A), reliability and real-world use.
Anthropic gave opposite advice for Fable 5 and Opus 4.8: what to change in prompts
Prompts for Opus 4.8 break Fable 5: Anthropic released separate guides for two flagship models with mutually exclusive advice on subagents a
How to build team knowledge and judgment into the AI agent improvement loop — LangChain
LangChain explains why AI agents perform better when they reflect a team's expertise — and how to turn employees' tacit knowledge into train
AWS shows how data mesh becomes the foundation for agentic AI in production
Google DeepMind publishes roadmap for guarding against its own AI agents
SAP and Google Cloud roll out a multi-agent platform for retail automation
ServiceNow: AI agent leaks corporate secrets through a chain of search queries
Cisco open-sources FAPO: automatic LLM pipeline optimization with step-by-step diagnostics
Cisco Foundation AI has open-sourced FAPO — a Claude Code-based tool that finds the weak link in a prompt chain on its own and optimizes the
xAI launches /goal in Grok Build: an autonomous agent plans and verifies multi-step tasks
Grok Build now has a /goal mode: the agent receives a single goal, builds its own execution plan, works through a checklist, and verifies th