Now, Studio Agent adds an AI co-editor to this workflow. Describe your idea, and watch the agent bring it to life. It asks what you need – video length, tone, structure – then builds a first draft on the timeline.
AGENTS
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Interrupt and edit with ElevenLabs Studio Agent AI co-editor
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Interrupt the agent at any point. Take over the timeline, make your edits, then hand control back. Tweak it, remix it, or start something new from scratch. Studio Agent is your AI co-editor.
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AI agent places sound effects frame-by-frame in your video
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See it lay out your video exactly as you imagined. The agent analyzes your clips frame by frame – place a sound effect when your product is revealed, or add a swoosh at the exact moment text appears.
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Introducing /orchestrate: recursive agents for ambitious tasks with Cursor SDK
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Introducing /orchestrate, a skill that recursively spawns agents to tackle your most ambitious tasks with the Cursor SDK.
— Cursor (@cursor_ai) 7 mai 2026
We’ve used it to:
– Autoresearch our internal skills, cutting token use by 20% while improving evals
– Cut cold start times on our internal backend by 80% pic.twitter.com/8Hm8S9J5pgIntroducing /orchestrate, a skill that recursively spawns agents to tackle your most ambitious tasks with the Cursor SDK. We’ve used it to:
– Autoresearch our internal skills, cutting token use by 20% while improving evals
– Cut cold start times on our internal backend by 80% -
Multi-agent research adds verifiers for code execution and repair
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This builds on our existing research on multi-agent systems, with a key addition: verifiers. Planners spawn workers that write code and verifiers that run it. If verification fails, the planner spawns a new worker to fix it.
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Factory Introduces AI Agents for Automated Software Development Tasks
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Excited to welcome @FactoryAI to Interrupt! From IDE to CI/CD, delegate complete tasks like refactors, incident response, and migrations to Droids, Factory's software development agents, without changing your tools, models, or workflow.
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Coordination defects cause majority of multi-agent LLM failures
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Pay attention to this one if you build multi-agent systems. Coordination is as important as prompts or agent architecture. Multi-agent LLM systems fail in production at rates between 41% and 87%. The majority of those failures are coordination defects, not base-model
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Scale AI publishes a new benchmark for refactoring agents
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Scale AI published SWE Atlas Refactoring Leaderboard, a new benchmark that evaluates agent capabilities of restructuring the code. > It requires agents to produce twice as much lines of code than SWE Bench Pro. > Claude Code with Opus 4.7 tops the leaderboard followed by
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New Course on Building AI Agents with Custom UIs
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New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with @CopilotKit and taught by @ataiiam, co-founder of… pic.twitter.com/yUqAQ6KtLY
— Andrew Ng (@AndrewYNg) 7 mai 2026New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with @CopilotKit and taught by @ataiiam
, co-founder of -
OpenClaw Agents Dreaming mainstream with Claude Managed Agents
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— Shubham Saboo (@Saboo_Shubham_) 7 mai 2026
OpenClaw Agents Dreaming will now be mainstream with Claude Managed Agents. Visual explanation of how AI Agents actually dream. x.com/claudeai/statu…