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How to build a Claude Plugin that benefits your whole team
How to build a Claude Plugin that benefits your whole team
Claude Plugins are changing what organizations can do with AI. Learn how to build a Plugin that benefits your whole team with democratized data.
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Pay your champions!
Most champions programs fizzle out because you're asking people to do real work and giving them nothing for it. Pay them, promote them, and they'll actually drive your transformation forward.
The chasm is already visible
The competitive distance between companies experimenting seriously with agents and those that aren't is already further than you think, and it's widening every week.
Notes from the field on AI transformation
If you're leading AI transformation, the highest-leverage investment you can make right now is activating your managers.
Horizon Media’s AI takeover: Building an AI-first culture in less than one year
Horizon Media went from AI-nascent to 85% AI-certified in under a year by combining a company-wide mandate with protected learning time, visible leadership participation, and internal branding that made proficiency feel like a badge of honor.
The president went first on AI. Everyone else followed.
Sidearm Sports president George Scott drove company-wide AI adoption by getting deeply fluent himself first, making AI proficiency part of every employee’s performance review, and requiring a real capability baseline before letting anyone join the AI committee.
What does the OpenAI implosion mean for you?
Tens of thousands of GPT developers (and other OpenAI true believers) watched in horror over the weekend, asking themselves: “Is my commitment to OpenAI and their technology going to turn out to be a massive mistake?” Section CEO Greg Shove doesn't think so. Read his take on what’s happening at OpenAI and what it means for you.
2 simple data skills that every single person should know
The ability to quickly clean and analyze a data set will make you better at every part of your job. But it’s easy to go a long time without learning these skills. (And if you’re far along in your career, it can feel embarrassing to ask for help!). That’s why we're sharing our quick guide on two basic data skills everyone should have.
10 ways to get your team to move faster on AI
If you’re a leader and you believe in AI, you’re probably facing a challenge in getting your whole team to embrace AI. Learn 10 ways to get your team excited about AI, from Section's CEO Greg Shove.
How to customize ChatGPT to your needs
Working with AI right now is like working with a brand new coworker. They don’t get your processes or your way of thinking. You have to give them a lot of context, and even when you do, the results aren’t exactly right. While many people give up, we promise it's worth it to train your AI tool to be your best possible copilot.
How to make your competitors look bad without even mentioning them
Laddering (as defined by Scott Galloway) means highlighting your strengths in a way that inherently points out your competitor’s weaknesses. We’ll explain how to use laddering to deposition your competitors, using Writer, one of our favorite AI case studies right now.
Sponsor your direct reports, don’t just mentor them
Your team needs both mentorship and sponsorship to thrive. We'll unpack the difference between a mentor and sponsor, and share DEI expert Mita Mallick's guidance on why both roles are essential.
The president went first on AI. Everyone else followed.
Sidearm Sports president George Scott drove company-wide AI adoption by getting deeply fluent himself first, making AI proficiency part of every employee’s performance review, and requiring a real capability baseline before letting anyone join the AI committee.
What the Best AI Leaders Get Right About Culture
The best AI leaders are backing their strongest individual contributors, making AI everyone's job with clear ownership, and using governance not as a brake but as the unlock that lets adoption scale.
We Analyzed 4,500 AI Use Cases. Here's What We Found.
Most employees use AI regularly, but only 2% report use cases that involve meaningful automations, because companies aren’t helping people figure out what to use AI for.
AI-native engineering: the 2/2/2 framework
Building an AI-native engineering team isn't just about using new tools. At Section, we use Domain-Driven Teams and the 2/2/2 framework to ship feature-complete value every six weeks.
How Klaviyo helped 1,800 employees find a great AI use case
In 2026, AI cannot be an optional career-builder for a handful of employees – it needs to be a business expectation for everyone in the company. Klaviyo took the first step into mandating AI use in Q4 and their AI Transformation Lead shared how it went.
The new “super leader” has different skills
Today's leaders have a new problem ahead of them: How to transform their businesses into "supercompanies" by fundamentally rethinking the work they do every day.
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Section HQ
For any
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leader responsible for AI success
From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.
