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Your employees are losing their minds to AI
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.
Why you can’t get your AI automations to work
If you’ve ever tried and failed to automate a seemingly straightforward workflow, it’s likely not on you. Machine & Partners’ Edmundo Ortega is breaking down how our legacy systems hold us back, and how that’s already changing.
Your step-by-step guide to a winning product strategy
Former Netflix VP of Product Gibson Biddle explains how to build a product that delights, makes money, and beats the competition.
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Why we’re opening up unlimited access to sprints
I was talking recently with a Section4 student, and I let him know that we would soon be giving members access to all our sprints for $995, about 1% the annual tuition of an MBA.
“That’s incredible,” he said. “I’m so excited – my mind is blown.”
Then he paused.
“Why are you doing that?”, which is a polite way of asking “What’s the catch?”
There isn’t one. And here’s the answer as to why.
Your employees are losing their minds to AI
AI dependence is already degrading cognitive capability in the workforce – and AI upskilling for employees needs to go beyond tools to protect the thinking that makes their work valuable.
The AI Conversation Is Growing Up
The AI conversation is growing up. And the companies pulling ahead are the ones who are moving fast from experimentation to system change.
