Perplexity's Search as Code lets AI agents generate Python search workflows, but claimed token savings and benchmark gains ...

AI agents are now practical tools for automating tasks and decisions. Key components include LLMs, memory, tools/APIs, and planning layers. Building involves defining purpose, selecting models, and ...

Companies are exploring AI agents in multiple ways. Professionals must consider how to exploit these technologies. Measurement, collaboration, and experimentation are key. AI agents will impact every ...

A new no-code tool in Google Workspace lets you build custom ‘flows’ to automate your routine tasks. Here’s how to use it. The great hope for AI agents is that they will automate many of the ...

Cloudflare Inc. today announced an expansion of its Agent Cloud with new features that are designed to help developers build, deploy and scale agents. The new release includes a suite of ...

Perplexity CEO Aravind Srinivas has announced a new search architecture for the company's AI agents, describing it as a shift from traditional web-fetching methods to what he calls “search as codegen.

The use of 'AI agents' that can perform tasks such as generating code or making restaurant reservations according to user instructions is beginning to spread, but using AI agents on a PC requires ...

San Francisco startup Nooks hosted a panel in Seattle last month focused on vertical AI agents. From left: Chinmay Barve, vice president of engineering at Nooks; Nikhil Cheerla, CTO at Nooks; Sharbani ...

Windows Build 2026 positions AI agents as core to native app development. Microsoft Execution Containers add policy-based sandboxing for safer agent code execution. Windows 365, Aion and Solara expand ...