Blogpost: AI Agents in the Loop
A comprehensive blogpost breaking down the buzz around AI agents and helping teams navigate the hype. The post provides a clear framework for understanding when to use different AI interaction modes. I wrote this to help product teams make informed decisions about AI implementation strategies.
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The post compares three distinct modes of AI interaction: simple iterative prompting (like traditional chatbots), structured agentic workflows (where AI follows defined processes), and fully autonomous agents (that can act independently). The central thesis challenges the current trend of turning everything into either a chatbot or an autonomous agent, arguing instead that the real question teams should ask is how much control to maintain in the human-AI loop. The visual guide I created helps distinguish between these approaches and provides practical guidance for choosing the right level of AI autonomy for different use cases. The post resonated widely in the AI community, sparking discussions about the appropriate balance between human oversight and AI autonomy in product development.
Year
2025