Edwin Lisowski

@durov Come to Poland. 🇵🇱

Unfortunately, I had to leave Dubai for Europe a week ago — so I’m not only missing the free fireworks from Iran, but also exposing myself to greater risk. Given Europe’s crime rates, Dubai is statistically safer even with missiles flying. Can’t wait to be back.

AI in manufacturing is done with PoCs. It’s time for production. 25 real-life AI & Big Data use cases based on Addepto's 10+ years of hands-on experience. 📅 Feb 12, 4 PM CET: webinar.getresponse.com/JhfLq/webinar-…

When it works, nobody notices. When it fails, everyone does. That’s AI becoming infrastructure. More context in my latest Medium article: medium.com/p/b8b9699e929b

Few patterns I see for 2026: ❌ AI stops being exciting ⚡️And starts being useful It moves from chat interfaces into infrastructure, supports decisions (not replaces them), and prioritizes reliability, cost, and accountability.

We talk a lot about growth & tech, but the best lessons come from people. 3 books that made me pause: 💡 One truth: success starts with people. @elisowski/3-books-that-changed-how-i-think-about-business-sales-and-growth-2b23be8dd037" target="_blank" rel="nofollow noopener">medium.com/@elisowski/3-b…

What I’ve learned as a leader👇 🔹 Certainty kills. 🔹 Speed > perfection. 🔹 Context beats direction. 🔹 Let go of sunk costs.

Working in #AI sometimes feels like playing chess during an earthquake. In the past 2 years alone, we’ve had to: 🧨 Rethink our roadmap 🧨 Pivot from general KM to engineering tools 🧨 Rebuild around #LLMs & digital twins 🧨 Redefine “value” — again and again

“AI will fix everything” might be the most overused phrase in tech right now. But as Katarzyna Czupik writes in her latest article, enterprise AI isn’t a super brain. It’s math with rules. addepto.com/blog/lets-get-…

Dusted off my Substack 💡 I’ll be sharing more casual posts there — updates, insights, and random thoughts on tech and AI. If you feel like chatting, stop by and say hi 👋 Would love to hear from you. open.substack.com/pub/edwinlisow…

At @addepto , we love turning complex problems into impactful solutions. Our latest case study shows how an AI-driven system helps airports optimize stand allocation, boosting efficiency, revenue, passenger experience & sustainability: addepto.com/case-studies/o…

If you’re rolling out AI: don’t start with the most technical team. Start with the one hungry for efficiency and open to change. They’ll become your case study, your early adopters, your champions. That’s how real transformation begins.

The teams most ready for AI: ✅ Feel the pain (manual, repetitive work) ✅ Open to experimentation ✅ Have clear but flexible use cases ✅ Willing to change workflows Tech skills help, but mindset matters more.

One of the biggest misconceptions in AI adoption: “Start with the most technical team. They’re the most ready. Not always. Some of the biggest wins I’ve seen came from non-technical teams… while technical ones stalled or resisted.

On the roadmap: smarter embeddings, cross-document relationships, vector + graph DB integration, and visualization dashboards. It’s open source. Use it & Extend it.

That’s why last week we open-sourced Graph Builder — the part of ContextClue that transforms messy documents into structured, queryable knowledge graphs: github.com/Addepto/graph_…

For years, the “standard” way to make documents usable has been the same: 1️⃣ Split text into snippets 2️⃣ Embed them 3️⃣ Pray your assistant can stitch it all back together We tried that too. And we kept hitting the same wall: snippets don’t understand relationships.

Lesson learned: adaptability is the ultimate advantage in AI. ✅ Be ruthless about relevance ✅ Don’t fall in love with your vision ✅ Spot lasting shifts, not trends This industry doesn’t wait. Either you adapt or you fade.

We chose to pivot. From general-purpose KM → semantic search for engineering: digital twins, system structures, virtual commissioning. That meant a new roadmap, new domain, and rebuilding sales from scratch. Painful, but it kept us alive.

AI moves fast. The only constant is change. We built ContextClue at @addepto as a knowledge management tool. Then the LLM boom hit. Overnight, semantic search was everywhere - for free. Our product felt obsolete. We had 2 options: push forward or pivot fast.

Tried the top coding assistants. No one-size-fits-all. It depends on your workflow. Claude: smart, multi-file Cursor: VS Code native Aider: terminal, open-source Cline: agents in VS Code Copilot: classic plug-and-play Full breakdown:@elisowski/claude-cursor-aider-cline-copilot-which-is-the-best-one-ef1a47eaa1e6" target="_blank" rel="nofollow noopener">medium.com/@elisowski/cla…