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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.

AI agents are cool, but not for the reasons you’ve heard
You’ve seen articles and flashy demos and tons of promises about the imminent future of agents. But how much of that is actually possible and how much is hype? Lutra AI co-founder and CEO, Jiquan Ngiam sat down with us to suss it out.

AI hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.

When to use a specialized AI tool vs. an LLM
If you’re hitting the limits of your LLM because you need more data or niche training, you’re likely doing a lot of high-end knowledge work – and that’s where specialized AI tools come into play.

We tested two Deep Research tools. One was unusable.
Two LLMs have released Deep Research features without much of a splash. So if you’ve been wondering about them (and don’t want to pay the $200/month price tag), read on for our Chief of Staff’s take on ChatGPT vs. Gemini.

How an agency is preparing for AI clients
AI has put a big question mark over the future of agencies. So we talked to David Freas, Managing Partner at Supermoon, about how he’s transforming his brand agency with AI agent teammates – and for AI agent clients.
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Your AI manifesto needs an update
Why every organization needs to establish the why, how, and "what we expect" around generative AI - again and again.

The case for letting people mess around with AI
To get people experimenting with AI, you have to encourage them to play with it first.

Should enterprise organizations hire a Head of AI?
Should your company hire a head of AI? Michael argues for why the role should exist - and be well-resourced.

How to manage the risk of AI agents
Many organizations are talking about agents, but far fewer know how to deploy them safely. Our Head of AI, Michael Domanic, shares his mental framework for how to think about the risk and opportunity of AI agents.
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Why you need to pay your AI 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.

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.
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