The 💯 Digest:I read OpenAI's new economic report so you don't have to.

Tool Tour 🛠

We’re always on the hunt for epic tools. Here’s what stood out this week:

• 🤖 Lex: Lex is a powerful tool for writers, like Cursor for expressing yourself.

• 🤖 Notate.so: Interact with information on any page with a browser extension.

• 🤖 Mail0: Zero is an AI-native email client that manages your inbox, so you don't have to.

• 🤖 Voicepen.ai: Convert audio, video, voice memo and websites to blog posts in minutes with AI.

• 🤖 Kawara.ai: Turn your content into revenue-generating newsletter drafts in seconds.

Read. Watch. Listen. To... 📖

We’re not just learning new tools. We’re learning how to work differently. These pieces helped me think deeper (and faster):

• 📺 Master Data Analysis with ChatGPT (in just 12 minutes)

• 📺 AI Just Killed Traditional SEO (How to Drive More Traffic) 

• 🐦 A new tool from GitHub that turns your ideas into full-stack apps, entirely in natural language.

• 📕 Why ‘Context Engineering’ is the New Frontier for AI Agents

• 📺 The High-Paying AI Job Nobody Knows About (Yet) ft. Rachel Woods 

• 🎧 Pricing your AI product: Lessons from 400+ companies and 50 unicorns

Window Into the Future 🚀

Picture this: You give your team ChatGPT. They save 95 minutes every day. What happens next?

If you're like most managers, you're thinking: "Great! 95 extra minutes of productivity!" Wrong. Pennsylvania tried this experiment with state workers. They saved 95 minutes daily. They didn't do more work.

I spent the other day digging through OpenAI's new economic report. They studied 500 million ChatGPT users (yes, half a billion people now use this thing).

Same pattern everywhere:

• Teachers save 6 hours weekly. They spend it with students, not grading

• Lawyers are 140% faster on routine docs. They focus on strategy now

• Customer support handles 2x more tickets. Quality went up because humans tackle the hard problems

The data that matters:

MIT found ChatGPT makes bad employees average and average employees good. Bottom performers improved 43%. Top performers only 17%.

Here's why that's huge: Your worst writer can now produce decent emails. Your slowest analyst can deliver reports on time.

The boring work is handled. What's left? The work that actually matters.

My take:

Most companies are asking "How can AI make us more productive?"

Wrong question.

The right question: "What important work have we been avoiding because we're drowning in busy work?"

I see this in every team training we run. And OpenAI's data backs this up. The #1 use of ChatGPT is learning new skills (20%). People know the game has changed; being "okay" at everything isn't enough anymore.

PS: If you need help mapping this out for your team, we’ll audit your workflows, totally free.

What to do tomorrow:

Look at your team's work. Sort it into two buckets:

1. Stuff AI can handle (first drafts, data entry, basic analysis)

2. Stuff only humans can do (decisions, relationships, creative leaps)

Move everyone to bucket 2 where the value is.

The companies winning aren't using AI to do more work. They're using it to do work that matters. And that's not working less. That's working smart.

⚡ Community on the Move

This week, we spotted this post from Sourabh, a product leader and one of our Vibe Coding Bootcamp alums:

Sourabh joined our bootcamp to build stronger workflows with AI and left with way more than a certificate. This is what we’re trying to do here: give people an actual edge at work.

If you’re feeling behind (or bored) with the way AI is taught right now… our next Prototyping with AI and AI Agents Bootcamps start September 18th. They’re fast, hands-on, and designed to help you get good at the actual doing part.

🪄 Until Next Time…

Hope this helped you feel a bit more caught up (and less overwhelmed).

Got something cool you’re working on? A link, a screenshot, a half-baked idea? send it our way. We love featuring our community ❤️

Catch you next Sunday 👋