Claude Managed Agents, Mythos, and Gemini Notebooks

Apr 10, 2026

Anthropic introduces Managed Agents for developers and limits access to its security-focused Mythos model. Gemini adds notebooks that sync with NotebookLM. This roundup explains the changes and shares a prompt for clarifying what you want from AI.

Weekly AI Highlights: April 4 - 10, 2026

What Small Business Owners Need to Know Right Now

Reader,

Anthropic had a massive week. They launched Managed Agents for developers, and revealed a new model called Mythos that's so good at hacking they won't release it publicly. Google connected Gemini and NotebookLM in a way I've been waiting for. Well, sort of. More on that in a second.

Let's get into it.

1. Claude Managed Agents Is Here

Anthropic released Claude Managed Agents, a new set of tools for developers that lets them build and deploy AI agents without building all the behind-the-scenes infrastructure. You define what the agent should do, give it tools and guardrails, and Anthropic handles the rest. Security, error recovery, scaling, all of it. Companies like Notion, Asana, and Sentry are already using it. Available now in public beta.

This isn't something you or I would use directly. It's for the teams building the apps we use every day. But when Notion and Asana can add AI features in days instead of months, that means better tools landing in your hands faster.

Source Link: Source: 1. Claude Managed Agents Is Here

MY TAKE

I use Notion every single day to run my business. And Notion is one of the companies already building with Managed Agents. That means the AI features inside Notion are about to get significantly better, significantly faster. Think less "AI that summarizes a page" and more "AI that actually does the work across your workspace." Same goes for Asana and the other tools on the list. If you're a Notion user, pay attention to what rolls out over the next few weeks.

2. Anthropic Built a Model So Powerful They Won't Release It

Anthropic announced Claude Mythos Preview, their most capable model yet. In testing, it discovered thousands of previously unknown security vulnerabilities in every major web browser and every major operating system. Real bugs. Not hypothetical ones. Bugs nobody knew existed.

The model is so good at finding and exploiting security flaws that Anthropic decided not to release it to the public. Instead, they launched something called Project Glasswing. The idea is simple: before someone else builds something this powerful and uses it to hack things, give the good guys a head start. Anthropic is letting companies like Apple, Microsoft, AWS, and Cisco use Mythos right now, in a controlled setting, to find and fix security holes in their own software. Basically, use the best lock-picker in the world to reinforce your own locks before the burglars show up.

Source Link: Source: 2. Anthropic Built a Model So Powerful They Won't Release It

MY TAKE

We all know AI is getting more powerful. But this is the first time a company has said, "What we built is too dangerous to release." And the thing they built can break into basically everything.

Some of the tech people I follow are saying we have maybe 12 months before someone else builds something with similar capabilities. Whether that's hype or reality, the message is the same: the era where you could casually store everything in someone else's cloud and assume it's safe? That's ending.

This is why I've been paying more attention to where my data actually lives. Not because I'm paranoid. Because I want my business to work no matter what happens to any single tool or platform. If your entire second brain is locked inside one AI tool and that tool gets compromised, what do you have?

Mythos is a wake-up call. Not a scary one. A practical one. Start thinking about owning your data, keeping local backups, and not being 100% dependent on any one service. That's just good business hygiene now.

3. Gemini Now Has Notebooks That Sync With NotebookLM

Google just announced notebooks inside the Gemini app. Think of them like project folders. You add your chats, files, PDFs, website links, whatever you're working with. And everything syncs automatically with NotebookLM. Add a source in Gemini, it shows up in NotebookLM. Add something in NotebookLM, it shows up in Gemini.

So you could research something in Gemini, then flip over to NotebookLM and turn that same material into a video overview or infographic without re-uploading anything.

You can also give each notebook custom instructions, so Gemini knows how to respond when you're working inside that project. If you've used Claude Projects or ChatGPT Projects, this is Google's version of that.

Source Link: Source: 3. Gemini Now Has Notebooks That Sync With NotebookLM

MY TAKE

I don't have access yet. It's rolling out to paid subscribers "this week" but I'm still waiting. Google, I love you, but can we please just release things all at once? The staggered rollout thing where you announce a feature and then make half of us sit there refreshing the app is getting old.

That said, this is Google finally doing what Claude and ChatGPT have been doing with Projects. But the NotebookLM sync is the real differentiator. No other AI tool gives you that kind of two-way connection between a chatbot and a research tool. If you're already using NotebookLM (and you should be), this is going to make it way more useful. The second I get access, I'll report back.

PROMPT OF THE WEEK

Know What You Want (Before the AI Guesses Wrong)

Before you start your next project in Claude or ChatGPT, paste this instead of jumping straight into instructions:

I'm about to start this project. Interview me until you have 95% confidence about what I actually want, not what I think I should want.

When to use it: At the very beginning of any project. A new lead magnet, a website redesign, a course outline, a content strategy. Anything where you have a rough idea but haven't fully thought it through.

What to expect: The AI will ask you a series of questions. Good ones. The kind that force you to get specific about scope, audience, tone, and outcome before a single word gets written. It's like having a strategist interview you before the work starts. You'll end up with a much clearer brief, and the AI will produce dramatically better output because it actually understands what you need.

Source: superhuman.ai

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Comments

If any of this made you think differently about how you want to work with AI, hit reply and let me know. I read every message. Your questions shape what I cover next.

Have a great weekend,

Founder, Front Row AI Club

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