David Coe

Head of Product @dc_thomson

[Lovable @Lovable]

To celebrate International Women's Day on March 8th, we're making Lovable completely free to use for the day, powered by @AnthropicAI.

That day we're also hosting a global build day through SheBuilds, where anyone can build with us. Community-led events are happening around the world with experienced builders on hand to help you ship.

Every participant also gets $100 in Claude API credits and $250 in Stripe fee credits.

See more: https://t.co/R2WOLyf5WS

[Blake Robbins @blakeir]

OpenAI is operating on a different level.

The amount they have shipped in the past few weeks (and months!) is incredible.

Feels like we are witnessing a generational run.

[Sam Altman @sama]

very requested feature!

[Paul Couvert @itsPaulAi]

I am genuinely impressed

Google has quietly released “Learn about” a genius new AI tool:

You can enter any topic you want to learn and you'll be able to dive right in VERY easily.

It suggests the related aspects, simplifies, illustrates, etc. More below:

[claire vo 🖤 @clairevo]

What you think What PMF actually
PMF looks like looks like

[David Coe @david_coe]

OMG! 3x Driver Championships with 3x different teams! Here we go!

[Scuderia Ferrari HP @ScuderiaFerrari]

Team Statement

Scuderia Ferrari is pleased to announce that Lewis Hamilton will be joining the team in 2025, on a multi-year contract.

[Allie K. Miller @alliekmiller]

DON’T make these obvious mistakes in AI change management 🚨

You could be wasting millions of dollars.

If you were one of the 70 bajillion teams (rough estimate) that signed up for ChatGPT Team last week, here are some of the things you NEED to do.

Save this 💾

——————————————

✅ Tell everyone in your company to sign up (or require it, if you’re like me). Literally put it as a meeting maker in people’s calendars. Double check everyone signed up. Send reminders.

✅ Ask everyone to bookmark ChatGPT in their toolbar or set it as their homepage. Working with AI assistants is a muscle you need to flex.

✅ Select an internal AI task force. These folks should be cross department, not just engineering. Ex: you need a data policy approved by legal, you need a training plan of ChatGPT Team workspace versus Personal workspace.

✅ Name AI Champions. These folks should be the people who have been obsessively using ChatGPT in their daily lives for the last year, and again, not just engineers. Some of the best ideas I’ve seen inside enterprises have come from legal, marketing, ops, etc. You want folks at your company to see someone similar to them/people they look up to and respect—it’ll inspire adoption.

✅ Create an AI Slack or Teams thread where people can share fun AI wins (or questions/blockers) - make sure the task force is reviewing and helping as needed. I also have separate threads for AI tools and AI news.

✅ Launch a GPT Hackathon with cash prizes. Hackathon can last 1-3 days, teams should cut across departments. Make it FUN. Give people problem spaces to consider/solve and criteria. Top 3 get real cash prizes. Top 5 (or whatever number makes sense) get demo’d at next all hands. Record the entire event/presentations.

✅ As a PREQUEL to the hackathon, you’re going to run an AI training session for your WHOLE company, not just engineers. This is going to be several hours and FUN. If you’re in person, buy lunch. If you’re remote, give everyone $25 on DoorDash to get lunch delivered. You’re going to protect calendars so people can attend. Assume that knowing this information saves AT LEAST one hour a day for employees (extremely conservative estimate). That’s 12.5% of their time. That is thousands of dollars or more a year. It is worth the investment. Record the training and add it to internal wiki so people can rewatch. Require everyone to attend (live or async). Require new employees watch. Include a quiz. Track attendance by team/dept and incentivize managers to get to 100% participation. Include an open forum where people can ask questions or raise their hands and demonstrate a use case they love. Clip those demonstrations and share them in the Slack/Teams, tagging and thanking the speaker.

BIG TAKEAWAYS:
- Buying ChatGPT Team is 0.0001% of the work; you have to execute and deploy too
- Focus on the people, not just the tech
- Great ideas can come from ANYWHERE, work cross-dept
- Incentivize people to build great things (exposure is nice but not sufficient)
- Set up systems to increase awareness, consideration, and usage
- This is both top-down (purchasing, budget allocation, ops) and bottom-up (socialization, collaboration, usage, flagging), you need both
- There is no such thing as autopilot in change management, especially with new tech that some people fear

Anything you would add?

Anything surprise you?

Let me know ⬇️

* this list is influenced by: me running ChatGPT Team inside my own business for over a month + me working on hundreds of AI use cases and advising across enterprise/SMB/startups + me reading my inbox with thousands of DMs complaining about AI internal usage + me teaching a popular AI business course to execs

[David Coe @david_coe]

@Duracell @FwdSlashF1 @williamsf1 Where in Austin are you?

[David Coe @david_coe]

@ttorres Sometimes the themes for the solutions don’t jump off the page. Any ideas for spotting them?

[David Coe @david_coe]

Apples Roadside Assistance with satellite just killed every scary movie plot device.

[David Coe @david_coe]

Ilinca Georgescu, at Dc Thomson nominated for the #WomenTech Global Awards 203! Share to raise awareness! #womenintech #womeninstem #womenwhocode #WTGA2023 @womentechnet https://t.co/UiFJ3nWg7p

[Shreyas Doshi @shreyas]

When most people encounter an interesting / seemingly useful framework, they think the most important next thing is to understand how to apply the framework.

That is a mistake.

Some others think the most important thing is to get proof that the framework works, ideally for a great company or a very famous person.

That too is a mistake.

The most important thing is to understand why this framework works. Once you understand the principles behind a framework, as a sufficiently smart person, you can adapt the framework to your specific situation. Heck, you can even mix-and-match frameworks to make it work for you, your team, your company.

Frameworks are intuition, packaged.

That is why good frameworks are so powerful. They pack decades or even centuries of observed patterns into something that’s consumable by anyone. They usually also add to your organization’s shared vocabulary, making the hard act of org-wide communication easier, more comprehensible, and more consistent.

But, the act of packaging vast intuition inevitably results in loss of important context.

And that is where binary thinking kills us. There are some people who swear by a framework and insist that it must be followed to a tee, exactly as described by the originators of the framework. There are others who claim that no framework will work because “our situation is so unique”.

Of course, as with most important things in business & life, the truth is not so binary.

If you learn about a framework that seems to address the problem you are facing – goal-setting, prioritization, delegation, promotions, decision-making, whatever else – first you must understand why this framework seems to work, then you must apply the principles behind the framework to create something that works better for your context.

And then, sure, you can use the social proof provided by the framework to sell it internally.

In doing so, you will create something that achieves the best of both worlds: leveraging the intuition honed by brilliant people over countless observations *and* applying your intelligence & judgment to your situation, something that no one outside the building can hope to do better than you.

Always remember: make the framework work for you, and make sure you don’t work for the framework.

[Brian Balfour @bbalfour]

I’ve secretly 🤫 been using a new product every week that is now live for everyone.

Today we are launching Reforge Artifacts and it’s completely free 🆓. Take a look 👇

Artifacts let you access the real work from those who have done it before, so you’ll never have to start from scratch. Some examples:

👆 Product Review Systems from Casey Winters, Tom Willerer, and others

🧠 Product Strategy and Roadmaps from Adam Fishman and Sachin Rekhi

🪜 Career Leveling Guides from Julie Zhou, Barron Ernst, and Kevan Lee

🧪 Growth + Product Experiments from Lauryn Isford, Matt Woods, and Ben Williams

📈 Quantitative analyses from John Egan, Dan Wolchonok, and Yousuf Bhaijee

🧐 User research projects from Amber Rucker, Mike Fiorillo, Shelly Eisen-Livneh

And sooooo many more.

You can sign up here → https://t.co/zcearP8HBR

Preview some artifacts here → https://t.co/VJpV8Q3HoT

These are NOT blank templates. Artifacts are the real work that contain the substance, nuance, insights, and realness.

Here are a few things you can do with Artifacts:

🔎 Find artifacts relevant to what you are working on
💡 Access notes from the creator about the story, lessons, and insights
⭐️ Save artifacts and share them with colleagues
🔁 Remix artifacts to create your own version

Artifacts is such a simple but powerful idea I can’t believe we didn’t think of it before. I’ve wasted so much time recreating something thousands of others have already done.

Artifacts can help accelerate a lot of work (like open-source code) by enabling building on each other.

Would love to know what you think.

[David Coe @david_coe]

@PatriotUltimate @blakeir https://t.co/mlTNEKdGIQ

[David Coe @david_coe]

THIS

“…I think to myself, I’m just like a host, inviting my user into my application for a little bit, and I want them to have a wonderful time.” @skuwamoto 👏

[David Coe @david_coe]

@marketplunger1 @HarryStebbings When you know, you know!

[Chris Frantz @frantzfries]

Google hits back with a full integration of AI across Google Workspace.

Includes generating images, presentations, emails, docs and more all within Google Workspace.

Video overview is slick

[David Coe @david_coe]

@schlaf @JamesClear Since reading it I've run 1400km, learnt over 50 guitars songs and have a 1100+ day streak in Duolingo. I taught my 3yo to ride a bicycle in 2 months and I'm now instilling these habits in my kids. I'm 1 for 1. I'm optimistic! cc. @JamesClear

[David Coe @david_coe]

Was Google waiting to see user perception of Openai /alternative ai before announcing Bard? https://t.co/kLP7bBeV2O