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How to build a Claude Plugin that benefits your whole team
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.
Is Deep Research worth $200 a month?
With new AI tools coming out all the time, it’s hard to know which ones are worth investing in. So here’s our lead AI consultant’s framework for whether you should shell out for Deep Research or not.
AI is good enough, the humans need help
Newsflash if you’re waiting for AI to get better before you invest: It’s already pretty good, it’s the people using it that need to get a lot better – and fast. Greg is taking over this week’s newsletter to show you why.
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.
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 find AI workflows that actually translate to ROI
AI is pointing out a big point of weakness in a lot of organizations: too few can actually name the value-generating processes that drive revenue. So Machine & Partners’ Ed Ortega is giving you his 5 step framework for doing just that.
Losing Our Minds To AI
Let’s have the hard conversation: Yes, AI reliance will atrophy your brain. But knowing that ahead of time can help you get ahead of it – before it impacts your job.
Ex-OpenAI exec: Leaders lack AI conviction
ICs get a lot of the blame for stalling or failing AI deployments. But former OpenAI executive, Zack Kass, says they could very well be the scapegoats for scrambling leadership.
What you really need to know about ChatGPT-5
ICYMI, OpenAI launched ChatGPT-5 . If your head is still spinning from the other 6 models they’ve released this year, here’s our guide on what’s different and what you actually need to pay attention to.
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Pay your 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.
The chasm is already visible
The competitive distance between companies experimenting seriously with agents and those that aren't is already further than you think, and it's widening every week.
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.
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.
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.
What makes an AI ambassador program actually stick
Agital, a digital marketing agency, built an AI ambassador program that actually works because they got specific where most programs stay vague - on selection, accountability, and goal-setting.
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