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Rahul Sengottuvelu

05/12/25

@ Sequoia Capital

A common frustration occurs when users ask AI assistants to perform tasks, like booking a flight, but the assistant fails to handle subsequent requests, resulting in a poor experience.

Video

How Ramp solved the Fatal Flaw in AI Agent Strategy ft. Rahul Sengottuvelu

@ Sequoia Capital

How Ramp solved the Fatal Flaw in AI Agent Strategy ft. Rahul Sengottuvelu

05/12/25

Related Takeaways

Rahul Sengottuvelu

05/12/25

@ Sequoia Capital

Many AI agent assistants fail because they are built with incomplete features, leading to frustrating user experiences.

Young Zhao

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Managing user expectations is challenging, especially when AI delivers results that may not fully meet their needs, necessitating manual features to enhance user experience.

Olivier Pomel

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Incorporating AI into workflows presents challenges, particularly in building trust with users and ensuring that AI helps them progress rather than causing frustration.

Y Combinator Cast

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Feedback mechanisms in AI interfaces can help users refine their prompts and improve interaction with the AI, enhancing the overall experience.

Peter H. Diamandis Cast

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The ideal AI assistant will act on your behalf, adapting to your preferences and habits, creating a feedback loop for continuous improvement.

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The lack of AI adoption in customer support is partly due to the effectiveness of rules-based systems for simpler cases, leading to skepticism about AI's capabilities.

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AI is increasingly capable of handling transactional interactions, often exhibiting more patience and nuance than humans, which challenges previous assumptions about AI's limitations.

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Booking a vacation through an AI agent is as challenging as doing it manually.

Jeremy Utley

04/27/25

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Instead of just asking AI questions, you should let AI ask you questions to better understand your workflows and responsibilities, leading to more insightful recommendations.