Google's Best AI Product Is the One Nobody Uses for Work
Three teams, three product lines, one brand name, and zero coordination. A field report from someone who runs all three.
Google Built Three Different Geminis, and Business Users Are Getting the Worst One
TL;DR: Google’s Gemini is actually three different products depending on whether you’re using consumer, Workspace, or Enterprise. Consumer gets the best stuff first. Workspace, the version your firm is paying for, is missing memory, custom instructions, and real NotebookLM integration. The web app also appears to throttle the model’s thinking depth. I love Gemini. I just want the business version to be as good as the one I use on my personal account.
Three Products, Three Teams, One Confusing Brand
I have a consumer Gemini account. A Workspace account. And an Enterprise account. I use all three, every day, advising law firms on AI strategy.
They feel like three completely different products.
I don’t mean small differences. I mean features that exist in one version and are completely absent in another, with no obvious logic to explain why. The models themselves are excellent. I think Gemini’s models are among the best available right now, full stop. But the product wrapping around those models? It’s a mess.
And the version getting the short end of this is the one business users depend on (workspace!).
Consumer Gemini Gets the Good Stuff First
The consumer version, tied to your personal Google account with a Google AI Pro or Ultra subscription, is clearly where Google’s product energy goes.
Personal Intelligence shipped in early 2026. Memory works, and it works well. You can manage individual items, delete things you don’t want retained, connect apps like Gmail, Calendar, Drive, Photos, YouTube, GitHub, and more. You get custom instructions so you can tell Gemini how you want it to respond. The NotebookLM integration is genuinely exciting. Google folded NotebookLM into the Gemini Projects experience, so your notebooks become living sources inside Gemini conversations. I’ve been a NotebookLM power user since launch, and this is exactly the kind of integration that makes you want to go all-in on Google’s tools.
Scheduled activities work. Memory works. Custom instructions work. It all hangs together.
Now go try that in Workspace.
Workspace: Where the Work Happens, Minus the Features
This is the version your firm is probably running. This is where billable work gets done, where client data lives, where you actually need AI to be smart about context.
Memory? Doesn’t exist. Every conversation starts cold. Gemini has no idea who you are, what you were working on yesterday, or what matters to your practice. Consumer users get persistent memory. Workspace users get amnesia.
Custom instructions? Nope. You can’t tell Workspace Gemini your role, your preferences, how you like things structured. The consumer version has had this for months.
The NotebookLM situation is particularly frustrating. NotebookLM itself works great in Workspace, I use it constantly with clients. But that deep Projects integration from the consumer side? It hasn’t crossed over. You can add a notebook as a source, sure. But it’s a file reference, not the woven-together experience consumer users get.
Even the app connectors are thinner in some ways. Yes - there are different business connectors here - including MailChimp, Hubspot, and Salesforce (that is awesome!) But YouTube Music! Not YouTube? No Google Photos?
Scheduled activities do work, I’ll give it that. But try explaining to a managing partner why the consumer version their associate uses at home has features the firm’s paid Workspace subscription doesn’t. I’ve had that conversation. It doesn’t go well.
Enterprise Goes Its Own Way
Enterprise Gemini is a different animal entirely. More business connectors, which makes sense. A rudimentary agent builder, which is promising. And it actually has memory, though it works differently than the consumer version. You can reference past chats, connected data, and manage saved memories.
But the agent builder needs work. I tried building what should be a simple morning briefing: “At 8AM every morning, read my overnight emails, look at my calendar, and prep me for what I need to know.” I walked through the whole setup. It built the agent. Then I went back to edit it, and the schedule had vanished. Gone. Consumer and Workspace both handle scheduled tasks just fine, but the Enterprise agent builder, the one with “Enterprise” in the name, can’t hold onto a schedule.
Three builds. Three sets of assumptions about what users need. Three incomplete products that could be one great one.
The Magnus Problem (or, Why Gemini Live Is Both Amazing and Maddening)
Let me tell you about my dog.
Magnus is my St. Bernard. If I open Gemini on my consumer account and type “how old is Magnus,” it knows exactly who I’m talking about. Pulls from memory, gives me the answer. That also works on Enterprise. Doesn’t work on Workspace, obviously, because Workspace doesn’t have memory.
But here’s the thing that really gets me. If I switch to Gemini Live, the voice mode, that same consumer account that just answered my question about Magnus has no idea what I’m talking about. Memory doesn’t carry over to Live. At all.
I use Gemini Live constantly. In the car. On vacation in Europe and Japan. The voice interaction is phenomenal. It blows ChatGPT’s voice experience out of the water! But it’s a completely separate experience from text-based Gemini. No shared context. No shared memory. No continuity.
I know this is a hard engineering problem. Streaming voice inference with real-time memory lookup across connected data is genuinely difficult. But here’s what I keep coming back to: nobody else can do this except Google. They have the email. The calendar. The documents. The photos. The search history. The voice infrastructure. All the raw material is right there. It’s just not connected yet.
When it is, it’ll be incredible. Right now it’s a collection of incredible pieces that don’t always talk to each other.
Are We Getting the Full Model?
There’s something else going on that’s harder to pin down, and it’s been bugging me.
The Gemini web app, even when I select 3.1 Pro, often gives me what feels like a half-effort response. Surface-level. Quick summaries instead of analysis. The kind of answer you’d get if someone was trying to finish a conversation quickly.
About a month ago, users started surfacing evidence of a hidden effort level parameter. The default across the app, including for Ultra subscribers paying $249.99 a month, appeared to be medium (0.50).
Now, I want to be careful here. There’s real debate about whether the model is accurately reporting an actual hidden parameter or just producing a confident-sounding hallucination. Google hasn’t confirmed anything. But my own experience lines up with what people are describing.
I have a go-to test. I ask the model to create an SVG of a St. Bernard riding a bicycle, wearing a baseball cap, and it’s raining. I’ve done this test dozens and dozens of times. (Yes, I make everything about my dog.) In the Gemini web app with 3.1 Pro selected, I get something basic. Take the exact same prompt to AI Studio, same model, set thinking to high, and the result is dramatically better. More detailed, more creative, more technically accomplished.
Here’s the SVG from the web app:
Same prompt now from AI Studio with thinking set to high (same model):
I will say that when 3.1 Pro first launched, the web app gave me versions much closer to what I get from AI Studio now… But it’s definitely felt downgraded since.
Same model. Very different output. That gap shouldn’t exist for paying users.
I’m not asking for Deep Think on every query. Most prompts don’t need it. But when I want the full model, actually engaged, I shouldn’t have to switch to a developer tool to get it. A simple toggle would fix this.
What This Actually Means for Your Firm
My legal clients love Gemini’s capabilities. The image processing is excellent. Analyzing video depositions is a genuine differentiator that other platforms can’t match. The 1M token context window opens up document review workflows that would choke every competitor. When they can access the full model, the reasoning and writing are strong.
But then I have to explain why the consumer version of the product has features that the business version doesn’t. That’s not a great pitch when you’re trying to get a firm to commit to a platform for the long haul.
What I Want to See
I’m writing this because I love Gemini, not in spite of it. NotebookLM is incredible. Nano Banana 2 for image generation is outstanding. The voice capabilities are the best I’ve used on any platform. I don’t want to switch. I want Google to bring the business versions up to what I know they can do.
Ship memory and custom instructions to Workspace. Business users need persistent context more than anyone.
Unify the NotebookLM integration across all tiers. If it works on consumer, bring it to Workspace and Enterprise.
Give paying users a way to access the full model’s depth in the web app. A toggle. A button. Something.
Maybe what Google needs is a PM for the PMs. Someone whose whole job is making sure these three product lines don’t keep drifting apart.
Because right now, the best version of Gemini is the one nobody’s using for work. And that’s exactly backwards.
If you read this far, you’re probably not asking whether your firm should use AI. You’re asking whether the platform you’re paying for is actually giving you what you think it is.
That’s the conversation I have every day with managing partners, CIOs, and practice leaders who are deep enough into implementation to feel the friction but aren’t sure if the friction is normal or a warning sign. If that’s where you are, tell me what you’re seeing. steve@intelligencebyintent.com. I’ll tell you what I’d do, what’s working at other firms, and what’s not ready yet.