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2026 was the year of the agent. 2027 is the year of computer use.

2026 was the year of the agent. 2027 is the year of computer use.
Get ready for the era of AI that uses your computer just like you do.
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How to evaluate a new model release (and why the benchmarks can't do it for you)
Should you be using the latest and greatest AI model? And if so, what for?

You want AI ROI? Know what drives your business
Getting AI ROI starts with understanding your key business drivers and how AI could accelerate them.

Being good at prompting isn’t enough
Your team needs to move from AI prompting to redesigning workflows with agents. Here's how.

5 questions every AI leader will need to answer in 2027
The questions for Heads of AI will get harder in 2027. Here's how to prepare as you set your 2027 AI strategy.

What Should Be in Your AI Budget for 2027
Budget season is coming. Here's everything that should be in your AI transformation budget in 2027.

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 5 AI agents every company should be running
The same agents show up early in every AI-enabled organization. They're the ones you should prioriotize.

How to think about Kimi K3 as an executive
Kimi K3 is here - does that mean anything if you're an enterprise organization?

4 habits that make or break your AI agents
Start structuring your work as if agents will be reading it - because they will.

Your AI risk appetite is too narrow
A simple framework for managing the risk of deploying AI agents to the enterprise
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Section HQ
For any
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