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Being good at prompting isn’t enough

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.

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?

Kill your ghost agents
Your organization is quietly accumulating AI agents that add no value and cost money. Here's how to audit, maintain, and cut them as necessary.

The 3 AI strategy investments leaders should make in 2026
Here are the places leaders need to be investing resources next year - but let's make one thing clear: This is at the cost of some of your other 2026 strategies.

The 5 AI investments marketing teams should make in 2026
If you’re a marketing leader staring down the barrel of your 2026 budget sheet wondering what should get top priority, you’re in luck. Hubspot's SVP of Marketing, Kieran Flanagan, gave us his top 5 recommendations.

Is SEO dead or is GEO hype?
There’s no doubt about it, marketing is changing with AI. But are the old ways actually dead or are flashy new strategies like GEO all smoke?

Can you build a team of just AI tools?
The same question has persisted all year: Can you reduce headcount by just using AI tools? Google’s Amit Rawal is trialing a largely AI-based team, and here are his lessons.

How to redesign roles with AI
Augmenting workflows is just the beginning of working with AI. To unlock huge time savings and strategy opportunities, eventually you need to rethink those processes altogether.

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.

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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