AI Agents
timveroAI cuts lending platform implementation from months to weeks
TIMVERO launched timveroAI, an agent grounded in lending platform source code and ontology. The more interesting story is domain agents after general copilots.
AI Agents
After DAU comes DAA, why Baidu wants an agent metric
Baidu proposed Daily Active Agents as a core AI-era metric. The useful question is not token volume, but how many agents actually complete work.
AI Agents
SocialReasoning-Bench shifts agent evaluation toward duty of care
Microsoft Research released SocialReasoning-Bench, arguing that agent evals must measure whether agents represent user interests, not only whether tasks finish.
AI Agents
Cloudflare Cut 1,100 Jobs, and Agent Usage Became an Org Chart
Cloudflare tied a 600% jump in internal AI use to a 1,100-person workforce reduction. The important story is how agent metrics are entering operating models.
AI Agents
AI Agent Index exposes the transparency gap behind 25 agents
The 2025 AI Agent Index finds that 25 of 30 deployed agents do not disclose internal safety results as autonomy moves faster than public evidence.
AI Agents
Hermes Agent turns the local PC into a learning agent runtime
NVIDIA is positioning Nous Research Hermes Agent on RTX and DGX Spark as a local, always-on self-improving agent runtime.
AI Agents
AWS puts Chrome policies on a leash for browser agents
AWS AgentCore Browser moves browser-agent security from prompts into Chrome enterprise policies, custom root CAs, and auditable runtime controls.
AI Agents
ChatGPT can now read bank accounts, and personal finance AI becomes a data boundary problem
OpenAI launched a ChatGPT Finances preview with Plaid account linking. The bigger story is how AI agents earn access to sensitive financial context.
AI Agents
SoundHound OASYS turns voice AI into an operations layer
SoundHound OASYS frames voice agents as a self-learning operations layer across phones, cars, kiosks, stores, and customer workflows.
AI Agents
Freshworks Targets the 47% of IT Tickets Filed After Hours
Freshworks AI Agent Studio turns ITSM into an execution layer for AI agents, with MCP Gateway and xLA as the control points.
AI Agents
Honeycomb moves AI agent observability into the operations layer
Honeycomb Agent Timeline shows how AI agent operations are shifting from model quality alone to traces, cost, policy evidence, and runtime accountability.
AI Agents
Honeycomb Agent Timeline rewinds agent failures
Honeycomb Agent Timeline turns LLM calls, tool use, handoffs, retries, and downstream system spans into a production timeline for AI agents.