33 stories
Twice as many companies use OpenAI's agent orchestration platform as Anthropic's, VentureBeat Intelligence found in its September survey on agent orchestration. OpenAI holds that lead even though Anthropic may lead OpenAI on other important indicators.
AI agents need more than process knowledge to execute work reliably. They need company-specific context, governed workflows and controls that travel across systems.
If you sit in enterprise boardrooms today, the pressure weighing on CIOs comes down to two things: Velocity and ROI. Boards expect a mature agentic AI strategy and a definitive timeline for deploying autonomous systems that deliver measurable business impact.Read more
In multi-agent systems, agents can be individually correct and still produce a wrong result when they work together. One agent’s output becomes another agent’s context.
AI agents often struggle to assess their own progress and decide what to do next. They can waste compute resources following failed approaches, or they might overlook promising results or stop before completing a task.
Generative AI image generation has come a long way from the early days of DALL-E and Midjourney in 2021-2022. But even with the most advanced models now supporting generated text and complex infographics, perceptive human beings can still detect and recoil from the "AI look" that many of these…
Enterprises are increasingly hesitant to give AI agents carte blanche ability to deploy code or system changes to production without human approval, even as they continue investing in tools designed to evaluate agent reliability.Read more
Google is unveiling a new universal AI agent for the workplace that can research information, create documents, write code, coordinate other AI agents and complete tasks lasting hours or days — all while maintaining the same memory, business context and identity across different applications and…
Enterprise project and dev software staple Atlassian said Monday it is expanding a partnership with OpenAI that dates back to 2023, putting OpenAI's newest frontier models — including the recently released GPT-6 Astra and the GPT-5.6 series — into Atlassian's platform and its Rovo AI, and…
Coding agents can improve by changing the prompts, tools and code that guide their work. But finding which changes actually help and are worth preserving is challenging and expensive.Read more
DigitalOcean recently launched DigitalOcean Managed Agents in public preview, offering a managed cloud infrastructure layer for AI agents with isolated microVM runtimes, governed tool access, and serverless AI inference. By Sergio De Simone
AI agents can improve their behavior by developing reusable skills from successful and failed task attempts. But the systems that evolve those skills can lose what they learned along the way, forcing them to rediscover old failures.Read more
The popular open source AI agentic framework OpenClaw is now targeting the enterprise with OpenClaw Enterprise, or OCE, a new, vendor-neutral, MIT Licensed platform designed to allow companies to deploy persistent AI agents while retaining centralized control over security, permissions, auditing…
AI coding tools already generate new code faster than enterprise teams can evaluate it.Read more
A large share of the AI running inside enterprise software today is not writing anything. It's not chatting with an AI chatbot, and it's not even reasoning about how to give you the correct answer.
A retrieval-augmented generation (RAG) demo is easy to get excited about.Read more
Multi-agent systems fail at the seams, not inside the agents. What a handoff carries, the five ways it breaks, and how to measure whether yours works.
Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to support it. Most of that deployment has involved attaching conversational AI to legacy systems never built for it.
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