Google is playing catch-up with a new feature that makes its Gemini AI assistant work more like a persistent workspace than a forgetful chatbot.
The company rolled out "notebooks" for Gemini this week โ dedicated spaces where you can gather files, past conversations, and custom instructions around specific projects or topics. Once you've built a notebook, Gemini uses everything in it as context for future conversations, remembering your preferences and project details without you having to repeat yourself.
Sound familiar? It should. OpenAI launched an almost identical feature called Projects for ChatGPT earlier this year. Both tools solve the same fundamental problem: AI chatbots are terrible at remembering what you were working on yesterday, let alone last week.
The timing isn't coincidental. As AI assistants move from novelty to necessity in business workflows, companies need tools that can maintain context across multiple sessions. Nobody wants to re-upload their company style guide or explain their project requirements every time they start a new chat.
This represents a broader shift in how AI companies think about their products. The early chatbot model โ fire off a question, get an answer, start fresh next time โ made sense for casual users asking random questions. But businesses need AI that acts more like a colleague who remembers previous conversations and understands ongoing projects.
For small businesses, this development signals that AI assistants are finally becoming practical for sustained work. Instead of treating these tools like glorified search engines, you can now build genuine working relationships with them.
The notebook feature transforms how you might use AI for project management, content creation, or customer service. Your marketing team could maintain a notebook with brand guidelines, target audience research, and successful campaign examples. When they need new content, Gemini already understands your voice, your customers, and what's worked before.
Consultants and freelancers could create separate notebooks for each client, storing contract details, communication preferences, and project history. Switch between clients, and the AI switches context with you โ no more accidentally mixing up client requirements or having to restart conversations from scratch.
The feature also makes AI collaboration more practical for small teams. Multiple people can contribute to the same notebook, building a shared knowledge base that everyone can tap into. It's like having a team member who never forgets anything and is always available to help.
Of course, this convenience comes with the usual caveats about data privacy and vendor lock-in. Once you've built extensive notebooks in Gemini, switching to another AI platform becomes harder. And you're trusting Google with potentially sensitive business information, which requires the same careful consideration you'd give any cloud service.
Watch how quickly other AI providers copy this approach. If both Google and OpenAI think persistent workspaces are the future, expect similar features from Anthropic, Microsoft, and smaller players within months. The companies that move fastest to support complex, multi-session workflows will likely capture more business users.
The bottom line: AI assistants are growing up from one-off helpers into genuine business tools. If you've been waiting for AI to become practical for sustained work rather than quick tasks, features like notebooks are your signal to take another look.