The agentic layer closes the loop entirely, pushing fact-based optimizations without waiting for human intervention.
AUTOMATION
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Four Layers of Industrial AI: From Prediction to Automation
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Industrial AI operates across four layers: predictive forecasts what's coming, prescriptive recommends actions, generative exposes insights in natural language, agentic pushes optimizations directly to control systems. #industrialai #manufacturing
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Teaching Robots Complex Tasks Without Extensive Training
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Teaching #Robots to do complex tasks WITHOUT spending hours training them
— Ronald van Loon (@Ronald_vanLoon) 29 mai 2026
via @IlirAliu_
#Robotics #AI #ArtificialIntelligence #MachineLearning #MI #Tech pic.twitter.com/QsA3VhFyOITeaching #Robots to do complex tasks WITHOUT spending hours training them
via @IlirAliu_ #Robotics #AI #ArtificialIntelligence #MachineLearning #MI #Tech -
Claude Dynamic Workflows: Parallel Subagents for Task Automation
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Claude's new Dynamic Workflows is amazing!
— AlphaSignal AI (@AlphaSignalAI) 29 mai 2026
1. Set model to Opus 4.8
2. Reasoning effort to /ultracode
It can spawn hundreds of subagents working in parallel to take on massive tasks. https://t.co/xa3mA4ewqF pic.twitter.com/frh9lov5wfClaude's new Dynamic Workflows is amazing! 1. Set model to Opus 4.8
2. Reasoning effort to /ultracode It can spawn hundreds of subagents working in parallel to take on massive tasks. -
20-minute intro to Managed Deep Agents by Runkle and Moreira16
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.@sydneyrunkle + @VictorMoreira16 with a 20 minute intro to Managed Deep Agents.
— LangChain (@LangChain) 29 mai 2026
Watch the full Interrupt keynote: https://t.co/jDvoDG6wek pic.twitter.com/hcBAIcUHpL.
@sydneyrunkle + @VictorMoreira16 with a 20 minute intro to Managed Deep Agents. Watch the full Interrupt keynote: https://
youtu.be/LdQpoK2TzSo -
System built with Codex due to Claude’s mistakes
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nah, it’s built with codex. Claude makes too many mistakes.
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Deep Agents v0.6 Enhances Harness Profiles for Cost-Effective AI Model Performance
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Deep Agents v0.6 makes harness profiles a first-class abstraction. Now, you can get production-grade performance from models like @Kimi_Moonshot
, @Alibaba_Qwen
, and @DeepSeek_ai at 20x+ lower cost than closed frontier APIs. More on tuning: -
AI Applications for Regulated Enterprises with Governance
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@Dominodatalab
’s Matt Bonyak and Danny Stout at #Rev26: regulated enterprises don't have a model problem. They have an application problem. AI apps built and deployed in hours, governance included. #Rev26 -
Five Million AI Agents Tracking Public Data on Billions
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This guy has five million AI agents tracking everything publicly available about three billion people!
— Robert Scoble (@Scobleizer) 29 mai 2026
He spent half a million bucks doing that.
Be scared? Or be educated? @michaelfanous1 runs https://t.co/cPDcSWapT6 and I have a lengthy conversation about what he's doing and… pic.twitter.com/Q418BEQQDRThis guy has five million AI agents tracking everything publicly available about three billion people! He spent half a million bucks doing that. Be scared? Or be educated? @michaelfanous1 runs https://
nyne.ai and I have a lengthy conversation about what he's doing and -
AI Agents with Scoped Data Access on Shared Infrastructure
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A quality agent and predictive maintenance agent can run on the same server but see entirely different data sets through scoped access.