Category: AI
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Lovable (Product Review)
Last year I started creating rapid prototypes using tools like Vercel V0, Bolt and Cursor, helping me to get ideas across and get quick customer feedback. I’ve since heard good things about Lovable, so let’s give this AI tool a try by creating a simple theatre ticketing app. On the Lovable homepage I enter the prompt…
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Why product people should know about MCP (and what they should know about it)
I recently did an agentic AI course in which I learned how to create agents and connect them in a workflow. The need for solid data was one of the things that this course reinforced, with a strong focus on knowledge bases and Retrieval-Augmented Generation (RAG). I’ve since then learned about the Model Context Protocol…
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DeepSeek R1 (Product Review)
By now, the Internet is all about DeepSeek and what makes its LLM different from other LLMs like OpenAI’s ChatGpT or Anthropic’s Claude. What stands out to me is DeepSeek’s thinking and reasoning output. As a simple example of DeepSeek’s ability to think in real-time, I asked it to tell me how to build a…
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Learning from Anthropic about building effective agents
I previously explored agentic AI, focusing on autonomous AI decision-making by agents. Anthropic (the company behind Claude) recently shared their insights on agent development in their essay “Building effective agents”. Anthropic’s essay serves as a good reminder about what agentic AI is and I’ll share my takeaways here. What are agents? At Anthropic, the definition…
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UiPath (Product Review)
My summary of UiPath before using it – UiPath is an agentic platform and I expect to be able to create agents that can do specific tasks. How does UiPath explain itself in the first minute? “AI breakthroughs. Groundbreaking research. Leading AI researchers. All at UIPath.ai.” How does UiPath work? The first step as part…
As I learn ... 