Tools

Explore

Videos Channels Figures

Atmrix

Tools

Explore

Videos Channels Figures

Atmrix

PK

Pete Koomen

10/27/23

@ Y Combinator

Providing social proof, such as the number of patents approved using the AI, can significantly increase user trust in a service that involves high-stakes outcomes like patent filing.

Video

Design Tips to Convert More Customers | Design Review

@ Y Combinator

Design Tips to Convert More Customers | Design Review

10/27/23

Related Takeaways

Garry Tan

06/16/23

@ Y Combinator

Using social proof effectively, such as showcasing well-known clients, can enhance credibility and attract new users.

Scott Clark

05/23/25

@ a16z

Trust in AI systems is becoming more critical than raw performance, as users need to feel confident in the reliability and consistency of these systems.

Scott Clark

05/23/25

@ a16z

The importance of trust in AI systems is growing, as users need assurance that these systems will behave reliably and consistently.

Scott Clark

05/23/25

@ a16z

Trust in AI systems involves verifying their reliability and consistency, which is crucial for user acceptance and enterprise success.

Y Combinator Cast

02/28/25

@ Y Combinator

The ability to click on sources for validation helps users trust the data returned by AI agents, addressing concerns about accuracy and reliability.

Jake Heller

10/04/24

@ Y Combinator

It's essential to make the first encounter with AI technology successful for users, especially in conservative fields like law, to encourage deeper investment in the technology.

Ryan Hoover

10/05/17

@ Y Combinator

When you're a non-technical founder, demonstrating user data is crucial; it proves that people are using your product and validates its usefulness.

Y Combinator Cast

09/22/23

@ Y Combinator

Trust in AI requires more than just improved accuracy metrics; it involves understanding the nuances of human trust and ensuring that AI technology is developed with user needs in mind.

Dwarkesh Patel Cast

04/04/25

@ Dwarkesh Patel

Companies should be transparent about their AI capabilities and governance structures to build public trust.