Claude Code 2.0 introduces effort levels from low to max plus new memory templates, giving clearer control over reasoning depth and cost.

A multi-artificial intelligence agent architecture triggers high-risk patient advanced care planning to improve clinical workflows and patient experiences, while integrating critical human steps for ...

Thenovi said its platform can extend beyond development work through what it calls Agentic Mesh, a connectivity layer for ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

The cloud-native customer service company Talkdesk offers a core customer experience automation (CXA) platform with AI agent ...

Gobot runs a seven-agent AI board meeting workflow; 7 roles include CEO, CFO, CTO, CMO, Research, Critic, Orchestrator, with human sign-off.

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Agentic AI means autonomous agents working together, sharing data, and taking action – across different systems and platforms ...