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SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Providing additional information and examples significantly improves the results in conversational prompt engineering.

Video

LP

AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff

@ Lenny's Podcast

AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff

06/19/25

Related Takeaways

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Including additional information or context in prompts significantly improves the model's understanding and output quality.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

In prompt engineering, it's crucial to provide examples of desired outputs, as this helps the AI reason through complex tasks and improves the overall quality of its responses.

KW

Kevin Weil

04/10/25

@ Lenny's Podcast

You can enhance your prompting by including examples in your prompt. For instance, provide a problem and a good answer, and then ask the model to solve a similar problem.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

In conversational prompt engineering, I often just type a short prompt like 'email' without much detail, and it still works effectively.

YC

Y Combinator Cast

02/28/25

@ Y Combinator

It's beneficial for AI applications to infer context and suggest prompts dynamically, rather than relying solely on static examples.

A

Anthropic Cast

09/06/24

@ Anthropic

Reading prompts and model outputs closely helps improve prompting skills; experimentation is key.

AA

Amanda Askell

09/06/24

@ Anthropic

A good prompt engineer must communicate clearly, iterate on prompts, and anticipate potential misinterpretations by the model.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

Meta prompting involves giving a role to the AI, such as an expert prompt engineer, to enhance the quality of prompts.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

The two modes of prompt engineering are conversational, where prompts evolve through interaction, and product-focused, where prompts are critical to product functionality.