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An Ethics Professor on Figuring Out What the 'Good Life' Means to You

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Our brains don't always know what makes us happy. But there's plenty of research to help point us in the right direction.

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👋 Hey, Lenny here! Welcome to this month's ✨ free edition ✨ of Lenny's Newsletter. Each week I tackle reader questions about building product, driving growth, and accelerating your career. If you're not a subscriber, here's what you missed this month: P.S. Don't miss (an AI chatbot trained on my newsletter posts, podcast interviews, and more), my PM recruiting service (helping you hire Sr. PMs and VPs), my (great gifts for your favorite PM, or yourself!), and

1. PwC forecasts that AI could contribute $15.7 to the global economy by 2030 from increased productivity.

2. When Italy banned ChatGPT, the productivity of coders in the country fell by 50% before recovering. On the flip side, Duolingo reported a 25% increase in developer velocity when using GitHub Copilot, and Shopify has already written over a million lines of code with Copilot.

3. Nat Friedman (former CEO of GitHub) and Daniel Gross (former Y Combinator partner) are investing $100 million in a startup called Magic that's looking to replace engineers. Prominent engineers are worried.

4. In the public markets, there's a growing separation between companies betting heavily on AI and those that aren't.

The power of AI models is only accelerating. Even MrBeast is worried. Here's AI video generation 10 months ago vs. today. Here's a video generated by Sora (OpenAI's latest model) from the prompt "Two golden retrievers podcasting on top of a mountain." 😮

The Best of Lenny's Newsletter
It's become clear to me that everyone should be playing with GPTs (custom versions of ChatGPT) right now. It's easy to think AI tools are a fad, too complicated, or unlikely to have real impact on your job. But you're wrong. Consider these recent news items that caught my attention:

As Chris Dixon put it, "The next big thing will start out looking like a toy."
A big thank-you to Dan Shipper and Dennis Yang for providing feedback on this post, and to everyone X and LinkedIn who shared their experience.
I started to get super-curious in particular about leveraging GPTs at work after my recent podcast conversation with Logan Kilpatrick (head of developer relations at OpenAI). He shared a few examples of how people at top-tier tech companies are using custom GPTs to help their non-eng teams be more productive, while also taking a load off their eng teams. I wanted to find more examples-to see how and why people are doing this-so I turned to Twitter and LinkedIn. I asked how people are using GPTs in their day-to-day work now.

The volume (and variety) of responses blew my mind. I got over 300 replies with hundreds of examples-from cooking up copy experiments to extracting feature ideas from sales calls to having conversations with their customer personas. The creativity, and the impact people are seeing, is 🤯.

Below, to help you explore this yourself, I'll explain what GPTs are and help you build your own custom GPT. Then I'll share 20 examples of how people are using GPTs today to make their workplaces more productive. When you read this post, I encourage you to pick an idea and try to create your own GPT. See how easy it is, and how good they actually are. You may be blown away too.

GPTs are custom versions of ChatGPT that can be tailored for very specific tasks. They live at a unique URL, run in the cloud, and anyone can make one in a few minutes.

To set one up, you tell the GPT what you want it to do for you (in plain English), upload docs that "train" it on your specific context (e.g. your roadmap), and then adjust the capabilities it can leverage to complete your task (e.g. browse the web, use Zapier to take actions, etc.).

Normally, straight-up ChatGPT is more than enough for most use cases, but if you want to upload proprietary datasets or customize how the chatbot interacts, and then share this tailor-made GPT with colleagues, custom GPTs are the way to go.

1. Read this very short guide from OpenAI on how to create a GPT

2. Browse examples of the most popular public GPTs

3. Get a ChatGPT Plus account. You'll get faster response times and avoid hitting usage limits. ← Get your company to pay for this; it's very high ROI for $20/month

4. Watch Logan Kilpatrick build a custom GPT step-by-step live

5. Add Zapier powers to your GPT in order to let it take actions for you

It's so easy. Go here, sign up, click "Create" in the top right corner, and tell the AI what you want it to do. Here's one I created in a few minutes that helps you think more strategically based on advice from the writings of Hamilton Helmer, Michael Porter, Annie Duke, Richard Rumelt, and Geoffrey Moore.

Once you get the initial version set up, you can then upload "knowledge"-decks, PDFs, spreadsheets, and any other documents that give the GPT more information on your specific context and company. For example, you can upload your roadmap, your company values, your career ladders, etc. The more you give it, the better it does. Think of it like onboarding a person-what context would you want them to have to do their job well?

To delve deeper into GPTs:

If you discover an idea here that could benefit your team, go ahead and try to build it yourself as a learning exercise. And if you've found another use case for GPTs at your workplace, I'd love to know. Just leave a comment below.

"We built a GPT that indexes all of our user research decks, and then people can ask questions [about past research findings]. It'll answer the questions and link to the decks." -Anonymous

"We created a custom GPT that has our DB schema, company overview, and some of our product requirements in markdown format. We are in the middle of an intense push over the next six weeks to deliver a fairly substantial feature set. This custom GPT is fully armed to act as both a source of truth for requirements and brainstorming technical approaches.

If you are a PM and want to take [your work] to the next level, look at delivering not just the usual PRD, but also an internally shareable link to a custom GPT that has those same requirements added to its context. (Don't forget to disable the training toggle in setup.) Your devs will love you."

"We have a GPT that searches the internal employee databases and org structures and component libraries, and answers queries like 'Who is the eng lead for X" and "What is the Jira component for Y?' etc." -Anonymous

"I use this for experiment analysis and copy:

1. Train a custom GPT on brand guidelines and examples.

2. [I feed] Google Sheets → Zapier → GPT connection. When I enter in my control copy, GPT will create two variants, explaining the hypothesis for each.

3. GPT → Zapier → Google Sheets connection. When I enter in experiment results, GPT will hypothesize why X variant won.

4. Upload a CSV of all experiment results to custom GPT again, so GPT can learn from winning experiments.

Challenges: When analysing experiment results, it lacks context on the product and other external factors, but I can't feed that to the GPT out of data privacy issues."

"I built a custom GPT to assist my team with setting their annual goals. It used to be a real struggle to get people to do it, and when they did, it often took hours and multiple meetings to refine.

I took the company values, team principles and values, company scorecards, and our progression model and used that as a knowledge base. I then had my team share where they wanted to be in five years, what they are currently interested in, and what their current role in the company is.

The GPT then returns custom, detailed goals using the SMART framework that takes all the values above into consideration. It gives people their annual goal and then it shares quarterly goals based on the annual ones. They now have goals that are unique to them and their career aspirations while still aligning with what the expectations are at a company level. I've been told countless times how much they love the workflow and how much easier it is to set goals. I've got people adding goals on time for the first time in seven years without having to track them down."

"At Faire we use GPT to grade the relevance of our search results. For reporting, we used to have a manual operation grading the relevance of search. Now automated through GPT. For model offline evaluations, we used to manually look at examples, now automated through GPT.

[In terms of impact on reporting], it's much cheaper to label with GPT vs. humans. [On model evaluation], an increased experiment win rate. We have a better idea of what our models are actually doing to relevance before launch and a better sense of what works vs. not."

"[I] created a tool for my data engineers which almost completely off-loaded the work they absolutely hated to do (and thus saved for last/never): documentation. Before, documentation of our data pipeline was horribly incomplete and would quickly grow stale. Even though it isn't perfect, the tool saved so much time that adoption by the team was assured."

"For me, GPT revolutionizes sales. Our most impactful application of GPT lies in summarizing customer interviews in sales. We used to spend a ton of time conducting interviews and synthesizing findings to improve our sales process, find innovative feature ideas for R&D, and enhance marketing collateral.
It's all history now.

With GPT, we:
↳ Identify recurring pain points across all interviews.
↳ Find compelling customer testimonials for marketing materials.
↳ Pinpoint nuanced critique points that we may have missed.
↳ Generate action items for every individual customer interaction to hand over to CSM/AE.

The benefits to our customer experience (CX) efforts are gigantic."

Note: You need ChatGPT Team or ChatGPT Enterprise to restrict access to your GPT to just your company. Otherwise, you need to rely on keeping the URL secret (which is probably fine in most cases).

1. by Claire Vo: An on-demand chief product officer that drafts and improves your PRDs, while coaching you to become an elite product manager.

2. PM Product Sense interview prep: Tailored for Big Tech product-sense-type PM interviews, this GPT provides ideal responses to generated or your own questions, with a focus on AI-powered solutions (and provides a sample mock).

3. Landing Page Optimizer: Find actionable changes in landing page copy to improve conversion, by submitting a URL.

4. Customer-centric copywriter for software release notes.

"We have a GPT that is trained on all of our Atlassian wiki pages and built a Slack bot to query it." -Anonymous

Have a fulfilling and productive week 🙏

"I have made myself a clone [GPT] bot that is trained on how I like to write project proposals, PRDs, roadmaps, and more, from the PM perspective [that has] saved me endless hours of work.

It provides a lot of autonomy for my marketing team. I do not have to write content for them. For my product team, we can quickly take client conversations and rapidly return a PRD and/or proposal. This saves me countless hours of middle management."

If you've found other interesting uses for custom GPTs at work, please share in the comments!

Know of others? Leave a comment!
If you're finding this newsletter valuable, share it with a friend, and consider subscribing if you haven't already. There are group discounts, gift options, and referral bonuses available.
I've been helping a few great companies find their next product leader and wanted to highlight one in particular: Director of Product for Niantic's Geospatial Services team.

If you or someone you know has experience building with maps or other geospatial services, head to the link below to learn more.

If you're hiring and want help filling your role(s), fill out this form, and our team will be in touch if it's a good fit.

Sincerely,

Lenny 👋

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20 examples of how people are using custom GPTs to make their teams more productive

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Hey Everyone,

I'm trying to bring a wide range of guest contributors on to the Newsletter with real skill in their specialization. Have you ever wondered how design professionals are using Generative AI? Or which are the best tools to use for design tasks boosted by AI?

Today we have a very special guest contributor,

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A Practical Guide for Design Tools with Generative AI in 2024

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What is the intersection of Design and AI in 2024?

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How to Make AI Work for You: Actually Useful Guides

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The best advice on making the most of AI tools in your daily life.

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Explore a hand-picked collection of Pins about colour palates on Pinterest.

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pinterest board - anatomy studies - reference

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pinterest board - anatomy studies - reference

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Explore a hand-picked collection of Pins about anatomy reference on Pinterest.

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Explore a hand-picked collection of Pins about character design on Pinterest.

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Explore a hand-picked collection of Pins about posters on Pinterest.

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Gremlin (gremlinactivity) - Profile | Pinterest

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See what Gremlin (gremlinactivity) has discovered on Pinterest, the world’s biggest collection of ideas.

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pocket account - link impossible to provide

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Interactive map- Heritage Oak Trees of Ireland

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Interactive map- Heritage Oak Trees of Ireland

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Colorado public school districts - Google My Maps

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one point perspective guide for beginners

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one point perspective guide for beginners

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Guide to one point perspective for beginners