About this episode
At first, prompting seemed to be a temporary workaround for getting the most out of large language models. But over time, it's become critical to the way we interact with AI.
On the Lightcone, Garry, Harj, Diana, and Jared break down what they've learned from working with hundreds of founders building with LLMs: why prompting still matters, where it breaks down, and how teams are making it more reliable in production.
They share real examples of prompts that failed, how companies are testing for quality, and what the best teams are doing to make LLM outputs useful and predictable.
The prompt from Parahelp (S24) discussed in the episode: https://parahelp.com/blog/prompt-design
Get every episode summarized
Each time Lightcone Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Lightcone Podcast
What Founders Have To Unlearn To Become Great CEOs
Lightcone Podcast
AI Is Eating Logistics
Lightcone Podcast
Inside The MIT AI Study Everyone Misunderstood (And What It Means For Startups)
Lightcone Podcast
Unpopular Ideas That Became Billion-Dollar Businesses
Lightcone Podcast