Battery storage became the most data-intensive grid asset just as commercial agreements shift mid-contract. Operators need business cases that justify upfront costs, run costs, and hidden organizational costs. Partner content with @IOTechSystems
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SYSTEMS
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Battery Storage Becomes Most Data-Intensive Grid Asset
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Optimize thinking architecture before optimizing prompts
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The shift most people haven't made yet: Stop optimizing the prompt. Optimize the thinking architecture before the prompt. A prompt is a tool. A thinking system is reusable infrastructure. This is what "LLMs don't think, you do" means in practice.
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AI operators shift from writing prompts to building thinking systems
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For operators using AI daily, this changes the workflow: Before: write a great prompt, get a great output, lose the context. After: build a thinking system once, every prompt inherits it. The professionals who shifted first compound. Everyone else starts from zero every
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Prompt drift in parallel terminals fixed by hand-built markdown system
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Translation: prompt quality without persistent context produces drift. A solo operator running parallel Claude Code terminals put it best: "Each terminal has no idea what decisions I made in the other." Their workaround? A markdown file system they built by hand.
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Building Block Approach Scales Agent Systems in Production
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Why the building block approach actually scales in the real world: → You can compose agents instead of rebuilding them
→ You control behavior by design, not by prompt hacking
→ You can change one block without breaking the whole system This is how you go from experiments to -
AI Should Be a System of Small Well-Defined Agent Functions
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The biggest “aha” from this conversation with Arno at Elastic: AI should not be one giant brain. → It should be a system of small, well-defined functions
→ Each function has a clear role
→ Each agent only gets the power it needs, nothing more This is how you avoid chaos as -
Why AI Initiatives Fail: Agent Power Balance Is Key
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Most AI initiatives don’t fail because the models are weak.
— Ronald van Loon (@Ronald_vanLoon) 28 avril 2026
They fail because teams give agents too much power, or not enough.
That’s the real scaling problem nobody talks about, and it’s exactly what I discussed with Arno van de Velde, Principal Solutions Architect at… pic.twitter.com/0XZ568ha1mMost AI initiatives don’t fail because the models are weak. They fail because teams give agents too much power, or not enough. That’s the real scaling problem nobody talks about, and it’s exactly what I discussed with Arno van de Velde, Principal Solutions Architect at
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Applied Intuition: $15B Physical AI Company Stack
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The $15B Physical AI Company: 4 stack rewrites, end-to-end RL, neural sim, android for vehicles, trucks in Japan https://t.co/Bpynu6zMgX @AppliedInt co-founders @qasar (CEO) and Peter Ludwig (CTO) explain why physical machines today look like phones before Android, why the real… pic.twitter.com/PBjKRZlyXC
— Latent.Space (@latentspacepod) 28 avril 2026The $15B Physical AI Company: 4 stack rewrites, end-to-end RL, neural sim, android for vehicles, trucks in Japan https://
latent.space/p/appliedintui
tion
… @AppliedInt co-founders @qasar (CEO) and Peter Ludwig (CTO) explain why physical machines today look like phones before Android, why the real -
AGI Alpha: Scalable Substrate for Intelligence Organizations
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AGI ALPHA: A Scalable Substrate for Intelligence Organizations Author: Vincent Boucher, President of http://
MONTREAL.AI and http://
QUEBEC.AI https://
github.com/MontrealAI/alp
ha-open-ended-rsi-system/blob/main/docs/gibbs_game_hamiltonian_framework/AGI_ALPHA_alpha_AGI_Ascension_Frontier_Synthesis_Publication.pdf
… #AGIALPHA #AIAgents #ASIFirst -
Workflows Public Preview Launches as Enterprise AI Orchestration Layer
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🆕 Today, we're releasing the public preview of Workflows, the orchestration layer for enterprise AI.
— Mistral AI (@MistralAI) 28 avril 2026
🌎 Enterprise teams have capable models. What they don't have is a way to run them reliably in production. That's the gap Workflows fills. It takes AI-powered business processes… pic.twitter.com/ETMYDI9IsgToday, we're releasing the public preview of Workflows, the orchestration layer for enterprise AI. Enterprise teams have capable models. What they don't have is a way to run them reliably in production. That's the gap Workflows fills. It takes AI-powered business processes