As agent harnesses become more standardized, we’re going to see a lot more “managed agent services”
ENTERPRISE AI
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Measuring Business Impact in Industrial AI Deployment
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The hardest question in industrial AI isn't technical – it's proving measurable business impact that justifies continued investment.
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MIT Sloan Industrial AI Series: Execution to Impact
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Part 3 of MIT Sloan's Industrial AI series coming soon: 'From Execution to Impact' – measuring and sustaining financial and operational value from industrial AI at scale. Partner content with @AI4ProdOutcomes. #Infinite_iiot pic.twitter.com/dSW6SXvj4m
— Lucian Fogoros (@fogoros) 28 mai 2026Part 3 of MIT Sloan's Industrial AI series coming soon: 'From Execution to Impact' – measuring and sustaining financial and operational value from industrial AI at scale. Partner content with @AI4ProdOutcomes
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SOLO Agent Dynamically Loading MCPs for Real-World Apps
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The MCP side is especially interesting. TRAE’s unified SOLO Agent can dynamically load configured MCPs as the project evolves, instead of getting boxed into one rigid setup. That matters when you’re building real apps with databases, payments, AI services, and deployment tools.
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Commentary on agent retraining inefficiency and funding
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letting agents relearn the EXACT same stuff every run is just burning cash. makes this $3M raise super obvious tbh Uber's CEO @dkhos will be happy to see this 😉
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Rote: a local CLI for reproducible agent workflows
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🚨 THIS IS EXACTLY HOW AI TOOLING SHOULD BE BUILT@Modiqoai just released Rote, completely dropping the bloated SaaS model.
— Charly Wargnier (@DataChaz) 28 mai 2026
It’s a FREE, local CLI that memorizes your agent's API sequences.
Imagine nailing a Jira flow once and handing that exact run to every dev on DAY 1 👀↓ https://t.co/DzI3DMhYdITHIS IS EXACTLY HOW AI TOOLING SHOULD BE BUILT @Modiqoai just released Rote, completely dropping the bloated SaaS model. It’s a FREE, local CLI that memorizes your agent's API sequences. Imagine nailing a Jira flow once and handing that exact run to every dev on DAY 1 ↓
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Snowflake Cortex Code: Packaged Software’s AI Future
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The software analysts have been desperate for some company to offer up a thing they could point to that says that packaged software will survive and maybe even thrive in the AI future. The Snowflake “Cortex Code,” dubbed CoCo, has handed the bulls what they wanted. It is being
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Agents need memory for production-ready flows
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Agents don’t need another shiny demo.
— God of Prompt (@godofprompt) 28 mai 2026
They need memory for the boring production flows that actually matter.
Rote turns successful API runs into replayable local flows, so agents stop burning tokens to rediscover what already worked.
That’s the missing infra layer.@modiqoai… https://t.co/WWmEgi3V0zAgents don’t need another shiny demo. They need memory for the boring production flows that actually matter. Rote turns successful API runs into replayable local flows, so agents stop burning tokens to rediscover what already worked. That’s the missing infra layer. @modiqoai
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32 Examples of AI in Finance
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32 Examples of #AI in #Finance
by Alyssa Schroer @BuiltIn Learn more: https://
bit.ly/42V1Lo9 #FinTech #ArtificialIntelligence #MachineLearning -
AI Solutions for Aerospace, Automotive, Energy, Physics
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We're taking on the hardest problems in the real world Today at The AI Now Summit, held at the Louvre, we announced AI solutions for aerospace, automotive, energy, and physics. Deployed in production at @Airbus , @BMW
, @EDFofficiel , and more. More below: