NEW Gemini 3.5 Flash + Agent OS is INSANE!

Added: 2026-05-25

[00:00:00]New Gemini 3.5 Flash plus Agent OS is insane. What if the model running in your Gemini app right now is already smarter than the pro model from last year? What if Google just handed you a 24/7 AI agent that works while you sleep? Why is nobody talking about the Agent OS dashboard that runs 10 AI agents at once? And what if you could plug all of this into one system? You'd never go back. Hey, I'm the digital avatar of Julian Goldie. People learn AI tools and actually use them in their work without all the noise. Today, I'm breaking down the new Gemini 3.5 Flash, the Agent OS dashboard, and the exact layers you need to stack on top to make it work like a full team. Stick around because the last tip is the one most people miss and it changes everything.

[00:00:36]Let me start with what just happened.

[00:00:38]Google dropped Gemini 3.5 Flash at Google I/O 2026 on May 19th. And this one is different. Google says it beats Gemini 3.1 Pro on coding and agent tasks. That's a flash model beating a pro model. That's never happened before.

[00:00:51]The numbers back it up. Terminal bench 2.1, it hits 76.2%.

[00:00:55]MCP Atlas, which tests agent skills, it hits 83.6% and it runs four times faster than other frontier models when you look at output speed. So, what does that mean for you? Means cheaper, faster, smarter.

[00:01:06]You get near pro quality at flash speed.

[00:01:08]And it's already rolling out as the default model in the Gemini app and AI mode in Google Search worldwide. You don't even have to do anything. If you open Gemini right now, you're probably already using it. But that's just the model. The real story is what you can build on top of it. That brings us to the Agent OS dashboard. Think of Agent OS like a mission control for your AI agents. Instead of one chatbot answering one question at a time, you've got a screen where multiple agents work in parallel. One agent is writing code, another is doing research, another is building a landing page, another is editing video scripts, all at once, all in front of you. This is what Google launched alongside Gemini 3.5 Flash.

[00:01:41]It's called Antigravity 2.0. It's a desktop app, a command line tool, and a software development kit all-in-one. The desktop app acts as a central home for agent interaction where you orchestrate multiple agents in parallel, spin up dynamic sub agents, and schedule tasks to run in the background. Plugs into Google AI Studio, Android, and Firebase.

[00:02:00]Here's the part that blew my mind.

[00:02:01]There's a CLI tool that replaces the old Gemini CLI. Google is telling everyone to migrate over. Keeps all the old features like agent skills, hooks, sub-agents, and extensions. So, if you were using the old Gemini CLI for anything, you switch to this and you get more power for free. This could be used to spin up a full content engine for the AI Profit Boardroom. You could have one agent writing short-form scripts, another agent pulling case studies, and a third agent drafting email sequences, all running in parallel inside one dashboard. That kind of setup is exactly what lets the AI Profit Boardroom scale content without burning hours on it.

[00:02:32]Now, let me cover the rest of the benchmarks because the numbers matter.

[00:02:35]In Chart X EV reasoning, which tests multimodal understanding, it hits 84.2%.

[00:02:39]In GDP Val-AA, it scores 1,656 Elo.

[00:02:43]Those are real numbers from Google's own model card. It's built for long-horizon agentic tasks. That means tasks where the agent has to plan, build, test, and iterate on its own without you holding its hand. Model ID is Gemini-3.5-Flash.

[00:02:57]Supports over M input tokens. Knowledge cutoff is January 2025. It's already live in the Gemini API, in Google AI Studio, Android Studio, and the Gemini Enterprise Agent Platform. GitHub Copilot is running it, too, with strong tool use and fast response times. Now, let's talk about how you actually use it. Here's where Agent OS gets interesting. You don't just use Gemini 3.5 Flash in the chat box. You wire it up to tools that let it work on its own.

[00:03:20]The video that started this whole conversation showed how to plug Gemini 3.5 Flash into Hermes, an open-source agent from Nous Research. Hermes works on Telegram, Discord, Slack, WhatsApp, Signal, and CLI. So, you can chat with your agent from your phone, your desktop, anywhere. And it remembers everything across sessions. Hermes uses any model you want. Nous Portal, Open Router with over 200 models, Navita AI, Nvidia NIM, Hugging Face, OpenAI, or your own endpoint. You just type Hermes model and switch. So, you can plug Gemini 3.5 Flash in through Open Router and run it through Hermes as your agent brain. This is what makes the whole system click. Now, you stack the layers.

[00:03:55]Imagine running this whole setup to onboard new AI profit boardroom members.

[00:03:59]You could have Hermes drop a welcome message on Telegram, hand off to Antigravity to spin up a custom roadmap, and have a third agent track which resources each new AI profit boardroom member opens first. That kind of system means new AI profit boardroom members hit the ground running on day one. Now, here are the Goldy command layers. This is how I stack the system so it actually works. Layer one is the model. That's Gemini 3.5 Flash. Cheap, fast, smart.

[00:04:21]That's your engine. Layer two is the agent runtime. That's Antigravity 2.0 or Hermes. This is what executes tasks, runs tools, and holds memory. Layer three is the dashboard, your mission control. Whether that's the Antigravity 2.0 desktop app or a custom view, you need to see what your agents are doing.

[00:04:37]Layer four is the skill layer. Skills are reusable pieces of behavior. Hermes can create skills automatically after complex tasks and improve them during use. Antigravity has agent skills carried over from the old Gemini CLI.

[00:04:49]This makes the system smarter the longer it runs. Layer five is the integration layer. CP servers, your Google workspace, your Discord, your CRM. This gives your agents the hands and eyes to actually do work. When you stack these five layers together, you stop being a person who uses AI. You become a person who runs AI. The first person opens ChatGPT and types a question. The second person has agents running 24/7 doing work in the background. If you want my full Agent OS system, the exact way I stack these layers, the prompts, the SOPs, and the workflows, I build all of that inside the AI profit boardroom.

[00:05:19]We've got a full Agent OS system in there. Members get the Gemini 3.5 Flash setup walkthroughs, the Antigravity 2.0 sub-agent templates, and the live coaching calls where you can ask questions about your exact setup.

[00:05:30]There's a 30-day roadmap built around getting your first agent system running.

[00:05:33]The link is in the description. Now, let me talk about Gemini Spark because this is the piece a lot of people are confused about. Gemini Spark is Google's new 24/7 personal AI agent. It runs on Gemini 3.5 Flash and Antigravity. Plugs into Gmail, Calendar, Docs, Sheets, Slides, YouTube, and Google Maps. It's always on. It runs on Google's Cloud, not your device, so you don't need your laptop open for it to work. You can teach it skills, schedule tasks, and let it work in the background. Here's the catch. Spark is in beta. It's rolling out first to trusted testers, and then to Google AI Ultra subscribers in the United States. AI Ultra is a $100 a month plan. So, most people watching this can't use Spark yet. But, Gemini 3.5 Flash, the model underneath it, is available to everyone right now. That's the key insight. You don't need to wait for Spark. You can build something close today using Gemini 3.5 Flash plus Hermes or Antigravity. Who actually needs this?

[00:06:20]If you're a creator, a coach, a course builder, an agency owner, or anyone running a real business with content, clients, and systems, this changes how you work. You go from doing the work to managing the system that does the work.

[00:06:30]You build it once and it runs. If you're a developer, this is even more obvious.

[00:06:34]You can spin up Antigravity agents that test code, refactor code, and run nightly checks while you sleep. If you're a learner, this is the moment to plug in. Hermes is free and open source.

[00:06:43]The Gemini API has a free tier in Google AI Studio. No excuse not to test this.

[00:06:47]Now, here are the tips that actually matter. Tip one, small. Don't try to build a 50-agent system on day one. Pick one task you do every week. Maybe research, maybe content drafting, maybe customer follow-up. Build one agent for that task. Get it working. Then add the next one. Tip two, use the dashboard. The reason Antigravity 2.0 matters is because you can see what your agents are doing. If you can't see it, you can't fix it. Watch them work the first few times so you understand where they break. Tip three, sub-agents for parallel work. Don't run one giant agent doing everything. Split tasks into smaller sub-agents that each do one job well. That's how you get speed. Tip four, plug into something you already use. The best place to start is in Hermes through Telegram, Slack, or Discord. You're already in there.

[00:07:28]Connecting an agent to a tool you already check is how you actually use it instead of forgetting it exists. Tip five, use Gemini 3.5 Flash for the brute-force tasks. Use the pro model for hard reasoning when it ships next month.

[00:07:40]Flash is faster and cheaper for agent loops with hundreds of tool calls. Tip six, build a skill library. Every time your agent does something well, save it as a skill. That's how the system gets smarter over time. Skills compound.

[00:07:50]Outputs compound. Your system compounds.

[00:07:52]If you want the full process, the SOPs, and over 100 AI use cases like this one, join the AI Success Lab. Links are in the comments and description. You'll get all the video notes from there plus access to our community of 58,000 members who are crushing it with AI. And if you want to build the full agent OS the way I just laid it out with Gemini 3.5 Flash, Antigravity 2.0 Hermes, the command layers, the sub-agents, and the dashboards, the place to do that is the AI Profit Boardroom. You're going to run into the same blockers everyone runs into. Sub-agents not firing right.

[00:08:20]Models not switching cleanly. Skills not saving. Inside the AI Profit Boardroom, we walk through that on the live coaching calls. There are step-by-step tutorials on the Antigravity 2.0 setup, the Hermes install, and the Gemini 3.5 Flash routing through Open Router.

[00:08:33]There's a roadmap that gets you from zero to your first working agent OS in under 30 days. Head to aiprofitboardroom.com.