Nathaniel Whittemore

Now, one thing he also notes that is not available yet exactly, although is something that they're working on, is persistent memory across sessions.

That means that the types of tasks that managed agents is well-suited for right now are a little bit more transactional and discreet.

For example, some of the agents that I've been experimenting with recently are basically persistent learners that help with AI strategy from within Slack, which effectively is sort of an agentic version of what we do at Superintelligent, but that persistence isn't exactly well-suited to the way that they built managed agents right now.

Still, there is clearly going to be a ton of people build with these tools.

And I think it's going to very quickly become a core part of the overall cloud and cloud code ecosystem.

Lastly, this week, one that seems little at first, but which is a massive quality of life upgrade.

Google has introduced what they're calling notebooks in Gemini.

Up to now, the way you manage projects in Gemini was frankly a little weird and unintuitive.

They had their gems feature, which was sort of but not exactly intuitive.

a version of projects in the way that you would manage it in ChatGPT or Claude.

But now this new notebooks functionality is much more directly that, allowing users to organize, collate a set of resources, documents, context, etc.

for particular tasks.

Users can also build out custom instruction sets for Gemini within their notebooks, allowing them to modify the model for each different project they have.

Still, Josh Woodward from Google argues that this goes beyond the normal project settings.

He writes, Most AI chatbots give you basic projects.

Gemini just built you a second brain.

He goes on to call notebooks some of the magic of Notebook LM directly integrated into Gemini app.

Basically, you can take the resource management that you're doing in Notebook LM and put it directly in the Gemini app.

Writes Google, Think of notebooks as personal knowledge bases shared across Google products starting in Gemini.

Now, one of the common critiques you will hear when it comes to Google is that even if people like their models, the product suite is so spread out across all the different surface areas that people interact with Google through that it can be confusing and even overwhelming.