Andreas Horn

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𝗧𝗵𝗲 "𝗔𝗜 𝗪𝗮𝗹𝗹" 𝗶𝘀 𝗿𝗲𝗮𝗹 — 𝗮𝗻𝗱 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝗵𝗶𝘁𝘁𝗶𝗻𝗴 𝗶𝘁 𝗵𝗮𝗿𝗱 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄. ⤵

You spend months picking the right LLM. You build a clean UI. You launch the pilot. And then... nothing. Usage drops. The "magic" wears off.

𝗛𝗲𝗿𝗲 𝗶𝘀 𝘄𝗵𝘆 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗶𝘀𝗻'𝘁 𝘀𝗰𝗮𝗹𝗶𝗻𝗴: ⬇️

𝟭. 𝗧𝗵𝗲 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗚𝗮𝗽

→ Models don't lack intelligence; they lack your specific business logic.

→ Without deep integration into your CRM, ERP, and legacy databases, the AI is just a "fancy search bar."

𝟮. 𝗧𝗵𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗗𝗲𝗳𝗶𝗰𝗶𝘁

→ Traditional RAG is great for finding facts. It is terrible for making decisions.

→ To scale, you need Agentic workflows that can verify their own outputs and loop until the task is actually done.

𝟯. 𝗧𝗵𝗲 𝗧𝗿𝘂𝘀𝘁 𝗕𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸

→ If a human has to check every single word the AI produces, you haven't automated anything.

→ You've just created a new job: "AI Babysitter."

𝟰. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗥𝗶𝗴𝗶𝗱𝗶𝘁𝘆

→ Relying on a single closed-source model is a massive risk.

→ Winners are building "Model-Agnostic" stacks that can swap Granite for Claude or GPT-4o in real-time based on cost and latency.

The shift from "Chatting with AI" to "Working with AI" is the only thing that matters in 2026.

Building a demo is easy.

Building a system that people would miss if it disappeared is hard.

Don't focus on the model.

Focus on the integration.

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𝗣.𝗦.: 𝗧𝗵𝗲 𝗳𝗮𝘀𝘁𝗲𝘀𝘁 𝘄𝗮𝘆 𝘁𝗼 𝗹𝗲𝘃𝗲𝗹 𝘂𝗽 𝗶𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗶𝘀 𝘁𝗼 𝗷𝗼𝗶𝗻 𝟯𝟬𝗸 𝗿𝗲𝗮𝗱𝗲𝗿𝘀 𝗶𝗻 𝗺𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://lnkd.in/dbf74Y9E

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