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Top 3 reasons to join Section: 1. Unbeatable community. 2. Education you’ll use today. 3. Alex Witkowski's shirt collection (IYKYK).

In last week’s Strategy Brief, Chase Ballard shared the results of his experiments with Claude for Teams’ new features – Projects and Artifacts. Take a peek at this workflow he put together. He shared some other powerful use cases – for Claude and other LLMs. Link in the comments to watch more, and leave us feedback on how much they helped you. (You may have to toggle your comments filter to "most recent"!)

Business is all about battling for attention. You have 1 min to make an impression in a sales pitch and 3 in a presentation. So how do you tell a story people will pay attention to? You design a roller coaster they want to ride. Start with an arresting moment to get their buy-in, then introduce tension to show them why they should keep listening. Add in an insight that’s not easily deduced, and offer a glimpse at success. Our Storytelling for Business workshop walks you through how to make all your future comms a riveting success, and it’s running again on September 24th. Link to enroll in the comments (you may have to change your filter to "most recent"!).

Hey leaders: Having an AI policy isn’t enough to make innovation happen. Here are the 3 things you need to be doing to get your team into the AI Class 👇 1. Make your stance on AI clear – A good AI policy is only the first step, but it’s important. Most AI Skeptics are in companies who are silent about AI. 2. Give them access to a paid LLM – Free models aren’t going to give you the best results and your team might just abandon it. Start them off on the right foot. 3. Provide formal training – Don’t just let them loose without any guidance. Provide support and resources to help them make the most of AI. The result? They’ll join the 7% of the knowledge workforce who are saving more than 30% of their time each week by using AI with everything. Download the full report in the comments.

Our very own Gregory Shove took over Scott Galloway's newsletter, No Mercy, No Malice this week to discuss the summer of AI discontentment. Our favorite insight: The hardest part of working with AI isn’t learning to prompt. It’s managing your own ego and admitting you could use some help and that the world will pass you by if you don’t learn how. The solve: Get over your immediate defense mechanism — “AI can never do what I do” — and use it to do what you do, just better.

Apple’s Amit Rawal is back to talk about how AI can make data analysis a sinch. He shared with his last cohort why these prompts are so powerful 👇 Each of these prompts is a step towards developing data storytelling your stakeholders actually want to see. First, you start with the problem or question that guided your analysis and the recommended action you took. Then you clean that data and dig into the insights to reveal what you learned. Cap it off with some next steps and you have a polished report for leadership. And you did it all with an AI copilot instead of toiling for hours over a spreadsheet. 🚀 If you want to learn from the master himself, join the September 12 cohort of the AI for Data Analysis workshop. Link to enroll in the comments.

Prompting proficiency makes more of a difference in saving time with AI than you might think – and fewer people can do it well than you might assume. Here’s where most people go wrong: 👎 They don’t provide any helpful background context 👎 They don’t give clear instructions for what output they want 👎 Their prompts are unstructured and open ended Why does this matter? The people saving 12 hours a week with AI are in the top 8% in terms of prompting skill. Download our free report and dig into the data for yourself - Link is the comments (make sure your filter is on "most recent"!)

Being an AI leader means mastering two distinct skills: Setting strategy with AI, and deploying AI in your team. Here’s how you can learn both in 10 days: First in AI for Strategic Decision-Making, Taylor Malmsheimer will show you how to map AI’s strengths to the core part of making a decision: Identifying solutions, pressure testing them, and getting buy-in. Then in Integrating AI into Team Workflows, Dan Slagen will guide you through the AI-Fueled Workflow Framework to pick high opportunity workflows for AI augmentation, break it down into tasks AI can do, and outline a pilot for your team. Round it out with AI strategy resources built by experts and an office hours session with an AI consultant to get feedback, suggestions, and new ideas. Link to learn more is in the comments (p.s. make sure your comments filter is on most recent!)

When Ashley Gross launched her business, she Googled the top 3 reasons small businesses fail. Then she picked AI tools to make sure hers didn’t: 1. To ensure product-market fit: Crimson Hexagon to run surveys and product market research 2. To offset lack of business know-how: Butterfly.ai to aid her in upskilling 3. To build a solid business plan: Wave HQ and Expensify to manage bookkeeping and projections By using AI, Ashley can run her business for $400 a month (!). Read more in last week’s Strategy Brief (link in comments).

Still thinking about how AI slots into your business? Our two upcoming free events might answer most of your questions. First up to bat is NYU Stern’s Conor Grennan, who is sharing the successful path to rolling AI out to your entire org. Then Hebbia AI’s former CRO David Morse will be talking about which AI business models have viability and which are temporary. Whether you just want to optimize your team or you want to roll out an AI product (or both), don’t miss this chance to ask the experts your burning questions. Link to RSVP in the comments.