Browsing: Agent

We stand at an inflection point. The era of experimental AI pilots is coming to a close. After years of proof-of-concepts and experimentation, enterprise leaders face…

Klarna aims to address the lack of interoperability between conversational AI agents and backend payment systems by backing Google’s Universal Commerce Protocol (UCP), an open standard…

When I was finally able to experiment with Auto Browse (for real this time), I took Google’s suggestions of digital chores as my starting point and…

2026 will see forward-thinking organisations building out their squads of AI agents across roles and functions. But amid the rush, there is another aspect to consider.One…

Clawdbot is an open source personal AI assistant that you run on your own hardware. It connects large language models from providers such as Anthropic and…

StepFun has introduced Step-DeepResearch, a 32B parameter end to end deep research agent that aims to turn web search into actual research workflows with long horizon…

In this tutorial, we build a cost-aware planning agent that deliberately balances output quality against real-world constraints such as token usage, latency, and tool-call budgets. We…

In this tutorial, we build an end-to-end streaming voice agent that mirrors how modern low-latency conversational systems operate in real time. We simulate the complete pipeline,…

Vercel has released agent-skills, a collection of skills that turns best practice playbooks into reusable skills for AI coding agents. The project follows the Agent Skills…

def _now_iso() -> str: return datetime.utcnow().replace(microsecond=0).isoformat() + “Z” def _stable_id(prefix: str, seed: str) -> str: h = hashlib.sha256(seed.encode(“utf-8″)).hexdigest()[:10] return f”{prefix}_{h}” class MockEHR: def __init__(self): self.orders_queue: List[SurgeryOrder]…