Google expands its Gemini API Managed Agents with powerful new features including background execution for long-running tasks, remote MCP server support, custom function calling, and mid-session credential refresh that preserves sandbox state — making AI agents significantly more reliable and flexible for production use.
A new study reveals that using JSON mode for AI agents causes smaller models to fail up to 60% of the time and costs up to 11x more than traditional CLI arguments due to shell escaping failures, with developers urged to avoid rewriting CLIs for agents until running measurable experiments.
Anthropic rolls out Claude Cowork to mobile and web, letting Max plan users start, monitor, and manage AI-driven tasks across devices, with background execution, scheduled automation, and real-time decision prompts — and over 90% of usage is everyday business work like financial reconciliation and content creation, not coding.
AI law startup Norm reaches unicorn status after raising $120 million in a Series C round led by Khosla Ventures, pushing its valuation to $1.2 billion as it disrupts traditional legal billing with AI agents supervised by human attorneys serving enterprise clients.
A new DigiCert survey reveals nearly 80% of enterprises have experienced AI-related security incidents in the past six months, as rapid deployment of AI systems dramatically outpaces governance, leaving companies unable to track what AI is running or who is accountable when failures occur.
Microsoft is ditching OpenAI and Anthropic AI models in favor of cheaper, in-house MAI models across products like Excel and Outlook, while simultaneously cutting 4,800 jobs and doubling down on AI expansion — a bold cost-cutting gamble that risks alienating enterprises demanding top-tier AI performance.
A sample of 1.2 million Claude Cowork sessions reveals business operations tasks dominate usage at 33.4%, nearly four times the 8.7% share held by software development, with roughly half of all usage falling into cross-role, supportive tasks rather than core job functions.
DoorDash launches DashBench, a rigorous AI code review benchmark that replays historical pull requests to surface real developer findings, revealing that multi-stage architectures dramatically outperform single-pass models and that trustworthy AI evaluation demands triangulating multiple imperfect signals rather than relying on any one metric.
Microsoft is ditching OpenAI and Anthropic AI models in favor of its own proprietary MAI models inside Excel and Outlook, completing tens of thousands of prompts weekly as the tech giant slashes costs and bets big on in-house artificial intelligence.
Anthropic rolls out spend alerts, cost analytics, and model defaults for Claude Enterprise as a 'tokenmaxxing' crisis sends AI costs spiraling out of control, with companies like Uber burning through entire annual AI budgets in just four months.