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How to build a Claude Plugin that benefits your whole team
Squishy vs. hard ROI: Why leaders need both
One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.
AI Agents Explained: The clear, no-hype definition
“Agents” have become one of the biggest hyped and most misused terms in AI. So here’s the real definition from someone who builds AI solutions for a living.
There’s plenty of AI ROI - if you’re willing to work for it
A theme emerged in the chat of this year's AI:ROI Conference: 11 experts shared their value-adding AI strategies but people were just looking for magic formulas. Here were the biggest insights we think they overlooked.
Is AI good enough to lay off your engineers?
Are AI coding tools good enough to replace humans? Here’s the verdict from a founder who had to make that choice.
How to hire AI power users
If you want an AI-first team, you need to hire AI-first people. But, like critical thinking, this is not a skill you can suss out with scenario-based questions – you need to see it in action. Here’s how we do it at Section.
AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.
The 4 priority strategies for every marketer in Q1
This week, we heard from 8 marketing experts from companies like Estee Lauder, HubSpot, and Zapier on THE AI strategies that need to be in every CMO’s 2026 plan. Our own Head of Marketing, Rachel Fields, is sharing the 4 tactics on her own to-do list.
85% of workers don’t use AI for business value
Our latest AI proficiency research was released this week – and if you’re leading a team through AI transformation, you’re going to want to keep reading.
How I learned to stop note-taking and let AI work for me
We have a new Head of Engineering! Say hi to Chad and read on to learn how he’s leveraging Claude Code to keep all the facts of a new role straight.
Personal AI use cases are good for business
Here's a slightly controversial take from AI researcher Marc Zao-Sanders: Don’t worry that no one is using AI for work yet – personal use comes first, but enterprise ROI follows.
The 4 AI investments finance leaders need to make in 2026
The opportunities for AI in finance are huge – if CFOs set the right strategy. Glenn Hopper, our AI for Finance instructor, is sharing the 4 AI investments finance leaders should make in 2026.
The 5 AI investments sales leaders should make in 2026
If you’re a sales leader and your AI strategy sounds like “buying an AI-powered outbound tool”, put the company card down until you’ve read this.
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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