Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,407 articles
Raindrop closed a Series A round led by CRV, pushing its total funding to $50 million. The startup is scaling its platform for detecting failures and issues in AI agent behavior. Source: pulse2.com
AI agents are rapidly becoming among the biggest consumers of internet traffic, forcing websites, online services, and e-commerce platforms to adapt. This shift is changing how digital content and services are designed and accessed. Source: businessinsider.com
Companies are increasingly deploying AI agents that autonomously write code, query databases, and interact with internal systems on behalf of teams. Running these agents in isolated sandboxes helps limit the risks of granting them broad system access. Source: aws.amazon.com
New VB Pulse data shows enterprises using OpenAI's agent platform are significantly more likely to actively build products on it compared to those using Anthropic's platform. The finding points to a wider gap in enterprise adoption between the two AI providers. Source: venturebeat.com
Google is repositioning its CC AI agent as a tool for family coordination, letting households share emails, calendars, and tasks so the agent can help manage schedules and errands. The shift moves CC beyond individual productivity into shared, multi-user use cases. Source: techcrunch.com
Meta's Muse AI agent relies on access to user data to deliver useful results, but this data dependency could make users hesitant to adopt it. The tension highlights a broader privacy concern facing personal AI agents. Source: wsj.com
A new approach combines Jev and LangChain to create safer AI agent harnesses, routing simple tasks to cheaper models while requiring explicit risk-based approval for sensitive tool calls. The design aims to balance cost efficiency with better control over agent actions. Source: sitepoint.com
A new framework suggests treating fleets of AI agents like variable labor costs — budgeting per completed change, adding a supervision cost that scales with usage, and applying governance through tiers and nudges. The approach aims to make agent spending more predictable and manageable. Source: augmentcode.com
TypeSafe has introduced Jev, a specialized AI model designed to make faster and cheaper decisions for AI agents and automated workflows. Unlike general-purpose models, Jev is built specifically as a classifier for production use. Source: patmcguinness.substack.com
Google Labs is broadening its CC AI agent from individual use to groups, starting with families and households. The goal is to reduce time spent on everyday logistics and coordination. Source: blog.google
HubSpot acknowledges employees juggle multiple AI agents but lack time to manage or even choose the right one for each task. Its new approach centers on one assistant that coordinates the rest. Source: theaieconomy.substack.com
An analysis of 40,000 Copilot Studio agents sheds light on how companies are scaling AI use across productivity and operational tasks. The findings point to broader patterns in enterprise AI deployment. Source: microsoft.com
A governance framework was reportedly built within just one week, yet executives and employees appear to see the situation very differently. The study also notes how long it typically takes companies to detect unauthorized AI use. Source: forkast.news
The updated CC feature gives an AI agent its own Google account within a family or group circle. It then sends all members a daily summary of relevant updates. Source: engadget.com
Imprivata's chief medical and growth officer warns that deploying agentic AI tools without adequate safeguards could endanger patient safety. The report highlights a widening gap between adoption speed and governance readiness in healthcare. Source: healthcaredive.com
Spain's data protection authority (AEPD) has confirmed the country's first reported data breach carried out by an autonomous AI agent. The case marks a new type of incident for regulators to address. Source: helpnetsecurity.com
Everyone agrees AI agents need guardrails, but nobody agrees who should set them. Apelogic's Boris Renski argues the industry is repeating a familiar pattern from early cloud computing history. Source: fierce-network.com
A strategic overview examines the benefits, use cases, technical demands, and challenges of applying agentic AI to customer experience management. It aims to help business leaders understand the technology's practical impact. Source: techtarget.com
Instead of reading a research paper manually, a new tool lets users convert it into an AI agent that can reproduce the study's analysis on request. The approach aims to make scientific findings more accessible and interactive. Source: theregister.com
AI is shifting from assisting consumers with purchase decisions to increasingly making those decisions on their behalf. This emerging "agentic AI" trend is reshaping the future of consumer financial services. Source: consumerfinancemonitor.com