Peter’s current obsessions include LLMs and conversational AI. When Peter’s not writing furiously about saving the future of AI, you can find him solving a Rubik's Cube in under 60 seconds. (Note: may not result in single-colored sides.)
Peter’s current obsessions include LLMs and conversational AI. When Peter’s not writing furiously about saving the future of AI, you can find him solving a Rubik's Cube in under 60 seconds. (Note: may not result in single-colored sides.)
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Blogs
Behind the hype: How Klarna's customer support agent falls short
Earlier this year, Klarna unveiled an agent that does the work of 700 full-time people. But how effective is the Klarna agent, really?
Peter
Chatbot glow-up: 3 reasons everyone hates your AI agent (and what you can do about it)
Customers have been having mediocre conversations with chatbots for years and those poor experiences have left a mark. Here are the three reasons why your chatbot might suck and what you can do about it.
Peter
Architecting the future of AI agents: 5 flexible conversation frameworks you need
Traditional turn-by-turn conversation design is quickly becoming outdated. As language models become more advanced, we need a new approach—organic conversation.
Peter
The context window paradox: Why bigger might not be better
Controlling LLM context windows is a must for creating effecient AI agents.
Peter
The case for a full-stack conversation designer
Effective agents are built by full-stack designers and teams - here's why.