Common-Sense AI Integration: Lessons from the Cofounder of Condens

This content originally appeared on NN/g latest articles and announcements and was authored by Alexander Knoll

Summary: Experience in the context of a UX-research platform shows that AI can be integrated well in focused tasks but isn’t capable of independent complex analysis.

Now that generative AI (genAI) has been around for a couple of years, the extreme hype is starting to simmer down. As the dust settles, we have a clearer picture of AI's potential and limitations.

In this article, I share some of the lessons learned through our genAI journey at Condens, our research-analysis platform. These lessons will be useful to anyone trying to determine how to integrate AI into their product strategy or research workflow.

Resisting AI Pressure

When ChatGPT was released in 2022, I felt like a little kid with a new Game Boy, exploring prompts and imagining all the new possibilities. And like many companies, Condens began testing genAI's potential for speeding up and improving UX research.

This content originally appeared on NN/g latest articles and announcements and was authored by Alexander Knoll

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Alexander Knoll | Sciencx (2025-02-21T18:00:00+00:00) Common-Sense AI Integration: Lessons from the Cofounder of Condens. Retrieved from https://www.scien.cx/2025/02/21/common-sense-ai-integration-lessons-from-the-cofounder-of-condens/

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» Common-Sense AI Integration: Lessons from the Cofounder of Condens | Alexander Knoll | Sciencx | https://www.scien.cx/2025/02/21/common-sense-ai-integration-lessons-from-the-cofounder-of-condens/ |

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