On the surface, it's Claude Code generating workflows on its own, but digging deeper, it's the control plane of agent products that's changing. In the past, we crammed complex tasks into a long context, expecting the model to remember the goal, break down steps, and judge
AGENTS
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Revnu replaces a growth team with a single agent
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En 2026 ya no necesitas contratar un equipo de growth.
— Nico (@nicos_ai) 3 juin 2026
Conectas Revnu a tus herramientas y por la mañana te llega un Slack con lo que movió.
SEO, ads, outbound, churn winback… todo en un agente.
Lo que antes costaba 3 personas, ahora cuesta casi nada. https://t.co/yaWcfa0CIn pic.twitter.com/vKApwolccUIn 2026, you no longer need to hire a growth team. You connect Revnu to your tools and in the morning, you receive a Slack with what has moved. SEO, ads, outbound, churn winback… all in a single agent. What used to cost 3 people now costs almost nothing.
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Nitrosend: One Prompt Writes, Designs, and Sends to 10,000
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This is the part nobody saw coming. You don't log into Nitrosend, you just tell it what you want and the email lands in 10,000 inboxes.
— AI Highlight (@AIHighlight) 3 juin 2026
One prompt did the writing, the design, and the send. The dashboard is officially extinct. https://t.co/n5dFsooyWBThis is the part nobody saw coming. You don't log into Nitrosend, you just tell it what you want and the email lands in 10,000 inboxes. One prompt did the writing, the design, and the send. The dashboard is officially extinct.
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MCP allows defining specific tools for each agent
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John Harrington of HighByte told me that with MCP you can discreetly define which tools are available for each agent. Partner content with @HighbyteInc. A quality agent and a predictive maintenance agent can each get only the tools relevant to them. #highbyte_iiot pic.twitter.com/uIhBpS5fag
— Lucian Fogoros (@fogoros) 3 juin 2026John Harrington of HighByte told me that with MCP you can discreetly define which tools are available for each agent. Partner content with @HighbyteInc
. A quality agent and a predictive maintenance agent can each get only the tools relevant to them. #highbyte_iiot -
AI Agents Fail 70% of Normal Office Tasks, Study Finds
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The best AI agents fail about 70% of normal office tasks and the newest models did not fix it. Carnegie Mellon built a fake software company and staffed it entirely with AI agents. Real roles, real tasks. Browsing the web, writing code, running a sprint, messaging coworkers,
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AI agents grow capable but outdated strategies limit business integration
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AI agents are becoming more capable, autonomous and integrated into business operations — but many organisations are still trying to build them on outdated AI strategies As agentic AI evolves, businesses can no longer rely on disconnected tools, isolated experiments or
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AI agent generates 450% more network traffic than human
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One AI agent generates 450% more network traffic than a human doing the same task. Not 45%. 450%. #CiscoPartner That number comes from @Jeetu Patel's keynote at #CiscoLive yesterday. I wrote it down twice because I didn't trust my own ears. And it landed on something I've
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Harvey’s LAB benchmark uses human-like verification with per-task criteria
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@Harvey
’s LAB benchmark approaches verification like a human would. Every task in a dataset has criteria for the task to pass. Legal agents can have 50+, with each one having its own judge call. It’s easy to audit, but can be expensive at scale. LangChain Labs teamed up with -
Capafy launches 5 e-commerce Skills from veteran operators
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Capafy has released 5 pre-made e-commerce Skills, each built by an operator who has spent years on the store-side front line, with their hands-on playbook packaged into an agent that anyone can now run. The set covers > Commerce Ad Maker > Amazon Listing Image
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SambaNova unveils disaggregated inference demo with 2x speedup
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The first disaggregated inference demo for AI agents is now live. At #COMPUTEX2026, SambaNova demonstrated premium inference running in production at VC2 — using NVIDIA B200 GPUs for prefill and SambaNova RDUs for decode. The result: 2x faster inference than B200-only