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Dan Shipper
Co-founder / CEO at Every
Dan Shipper is an entrepreneur and investor based in New York City who currently serves as a Scout for Sequoia Capital.14 Here are some key details about Dan Shipper:
Professional Experience
Current Roles::
- Scout at Sequoia Capital (since January 2023): In this role, he makes early investments in AI companies.14
- Co-founder & CEO of Every (since January 2020): Every is a company focused on "feeding the minds and hearts of the people who build the internet".1
Previous Roles::
- Entrepreneur in Residence at prehype (March 2018 - January 2020)
- Principal of Collaboration Initiatives at Pegasystems (July 2014 - July 2016)
- Co-founder & CEO of Firefly (September 2011 - July 2014), which was acquired by Pegasystems in 2014.1
Education
Dan Shipper holds a Bachelor of Arts in Philosophy from the University of Pennsylvania, which he attended from 2010 to 2014.1
Sequoia Scout Program
As a Sequoia Scout, Dan Shipper is part of a network of individual investors who receive capital from Sequoia to invest in early-stage companies.2 This program allows Sequoia to gain insights into emerging technologies and entrepreneurs while providing scouts like Shipper with the means to support promising startups.23
Dan Shipper announced his role as a Sequoia Scout in February 2023, stating that he would be focusing on investing in early founders building in AI.4
Highlights
Prompt engineering matters more than ever. But it’s evolving into something totally new:
A way for non-technical domain experts to solve complex problems with AI.
I spent an hour talking to prompt wizard Jared Zoneraich (@imjaredz) cofounder and CEO of @promptlayer about why the death of prompt engineering is greatly exaggerated. And why the future of prompting is equipping non-technical experts with the tools to manage, deploy, and evaluate prompts quickly.
We get into:
- His theory around why the “irreducible” nature of problems will keep prompt engineering relevant
- Prompt engineering best practices around prompts, evals, and datasets
- Why it’s important to align your prompts with the language the model speaks
- How to run evals when you don’t have ground truth
- Why he believes that the companies who have domain experts to scope out the right problems will win in the age of gen AI
This is a must-watch for prompt engineers, people interested in building with AI systems, or anyone who wants to generate predictably good responses from LLMs.
Watch below!
Timestamps:
Introduction: 00:01:08 Jared’s hot AGI take: 00:09:54 An inside look at how PromptLayer works: 00:11:49 How AI startups can build defensibility by working with domain experts: 00:15:44 Everything Jared has learned about prompt engineering: 00:25:39 Best practices for evals: 00:29:46 Jared’s take on o-1: 00:32:42 How AI is enabling custom software just for you: 00:39:07 The gnarliest prompt Jared has ever run into: 00:42:02 Who the next generation of non-technical prompt engineers are: 00:46:39
