Bits about Money later this week is not the Dangerous Professional piece I've been itching to write for forever, explaining that amusing metaphor I often use to describe a particular way of operating. But it is a *very* Dangerous Professional piece, if you catch my drift.
ENTERPRISE AI
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Transform any AI model into a senior business strategist with this prompt
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The prompt I use to turn any AI model into a senior business strategist: ———— Prompt: You are a senior management consultant with 20 years of experience across Fortune 500 companies and high-growth startups. I will describe a business challenge. Your job:
1.Ask me 5 -
Profluent and Eli Lilly Partner on AI-Designed Gene Editors
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Today, @ProfluentBio and @EliLillyandCo announce a multi-$B partnership to use our AI models to design custom recombinases, a new class of gene editor capable of large-scale DNA editing across multiple diseases. I'm so proud of the team – Profluent is an n=1 company.
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Trade-offs in Technology Investment: Cost Analysis Framework
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There will always be trade-offs between upfront cost, run costs, and costs already hidden in the organization. The investment needs to justify itself through productivity, revenue, or reducing embedded costs.
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UK Government CDIO Leads Microsoft Migration and ERP Overhaul
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http://
UK.gov's DCMS to new CDIO: migrate from Google to Microsoft, overhaul ERP, build a team https://
go.theregister.com/feed/www.there
gister.com/2026/04/28/ukgov_seeks_cdio_to_lead/?utm_source=dlvr.it&utm_medium=twitter
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Base44 launches agent platform with migration and UI tools
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OpenAI and Anthropic are racing to build the smartest agents.
— Chubby♨️ (@kimmonismus) 28 avril 2026
Base44 is building the platform those agents actually need to run on. While the labs ship models, Base44 just shipped: One-click migration from 6 major platforms Schema reconstruction Custom UI generation Agent… https://t.co/76DZL5x3XdOpenAI and Anthropic are racing to build the smartest agents. Base44 is building the platform those agents actually need to run on. While the labs ship models, Base44 just shipped: One-click migration from 6 major platforms Schema reconstruction Custom UI generation Agent
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Ultra-Sensitive Robot Hand Achieves Human-Level Tactile Dexterity
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Ultra-Sensitive Tactile #Robot Hand Mimics Human Dexterity
— Ronald van Loon (@Ronald_vanLoon) 28 avril 2026
via @ZappyZappy7
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/BFUOlcNaR6Ultra-Sensitive Tactile #Robot Hand Mimics Human Dexterity
via @ZappyZappy7 #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
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