Agents
AI agents autonomously perform tasks and make decisions across business sectors. Insights on LLM-powered applications, workflow automation.
The Agents section covers autonomous software systems that carry out tasks and make decisions with limited ongoing human oversight. Articles explain how these systems are structured, what kind of language models underpin them, and where they are already applied across business operations.
Coverage also looks at practical boundaries: which tasks suit automation, where human review remains necessary, and what limitations exist around reliability and traceability of automated decisions. Examples from private companies and public administration illustrate current adoption.
The collection suits readers who want to understand how autonomous systems work and what they mean for daily workflows and decision processes, without assuming prior technical background.
Items
- ArticleNews
Fable 5 and AI Agents: What Days-Long Autonomy Means
Days-long autonomous runs, sub-agent delegation, persistent memory: what Fable 5 changes for agent builders, and where rivals stand today.
- ArticleGuide
Claude Fable 5 Pricing, Access, and Getting Started
Fable 5 costs $10 per million input tokens and $50 for output. Here is who gets it, what the June 22 window means, and when to pick it.
- Article
Topics — every published topic at a permanent URL
Every published piece lives at a permanent topic URL with a short opaque slug — addresses that do not change.
- ArticleNews
Ople — agentic AI as a decision layer
Ople positions itself as a decision layer — turning predictions into next-best-action recommendations and routed approvals — rather than as another analytics product. A worked example of agentic AI in operations.