Tag: Product Management
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What is A2A (Agent to Agent Protocol)?

I recently wrote about MCP, a standardised protocol for LLMs to communicate with AI tools and resources. A couple of days ago Google introduced another exciting standard: A2A (Agent to Agent). Google’s A2A protocol allows AI agents to communicate with each other, securely exchange information, and coordinate actions on top of various enterprise platforms and…
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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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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…
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My Product Management Toolkit (63): AI tools for Product Managers

A few weeks ago I wrote about what makes AI Product Managers different, examining the AI product management specialisation. My main takeaway was the AI PM will still conduct key product management activities, from identifying customer problems to shipping solutions. The same applies to product managers not specialised in AI: even with the advent of…
