Just landed — a cloud agent that researches, runs code, and builds for you
The Goldie Cloud Crew™.
An agent that does the work in Google's cloud — off your Mac.
Google just opened up Managed Agents in the Gemini API. You give a task, and a real agent spins up its own computer in Google's cloud — it browses the live web, runs code, and builds you finished files. Then they land right in your workspace. I plugged it into Agent OS and gave it real jobs. Here's the first thing it built — a live data dashboard, researched and coded in the cloud:
▶ A reel of what the cloud agent actually built — scroll the dashboard, flip the deck, read the SEO brief. Tap any card below to open the live thing.
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Real work, done in Google's cloud. Click any to open it.
These aren't mock-ups. A cloud agent researched the live web, wrote the code itself, and handed back finished files — they're sitting in my Agent OS workspace right now. Tap a card to open the real, live thing.
▶ live · interactiveAI agent dashboard
Today's AI coding agents compared — context, pricing, strengths — with live filters, tabs and charts.
▶ live · 8 slidesAI Launch Wave deck
An 8-slide briefing on the real AI launches this week — flip with the arrow keys. Researched live.
▶ live · open the briefSEO content briefIt searched the web, read the pages that rank for "AI agent operating system", found the gaps, and wrote a #1-worthy brief.
▶ the receipt · 62sThe cloud run log
The agent's real, unedited steps — scraping live, failing, reading the HTML, fixing its own code, succeeding.
Open everything — the builds, your workspace, and the cloud console ↓
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It runs on Gemini 3.5 Flash — the fast one that beats last year's Pro.
This isn't a toy model in the cloud. The agent is powered by Gemini 3.5 Flash — Google's strongest agentic and coding Flash model ever — and it runs about four times faster than other frontier models. Here's how it scores on the real agentic coding tests (June 2026):
SWE-Bench — fixing real software bugs81.0%
Claude Opus 4.6 — same test, for comparison80.8%
MCP Atlas — using tools correctly83.6%
CharXiv Reasoning84.2%
Terminal-Bench 2.1 — driving a real terminal76.2%
~4×faster than other frontier models
1Mtoken context window
81.0%SWE-Bench — beats last year's Pro
May 2026generally available
"On the agentic coding suite, Gemini 3.5 Flash scores 81.0% on SWE-Bench — ahead of Claude Opus 4.6's 80.8% — while running about 4x faster than other frontier models."
— Gemini 3.5 Flash launch benchmarks, May 2026
Thinking it?"A 'Flash' model can't be that good."
This Flash beats last year's Pro on the coding suite — and edges Claude Opus on real bug-fixing.
You watched it fix its own code in the run above. The numbers back up what you saw.
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The official sources. Read it, and try it, yourself.
Everything in this guide comes from Google's own announcement, docs and benchmarks — nothing second-hand. Here's where to read the update and run it yourself:
Official Google sources + resources ↓
the announcementManaged Agents in the Gemini API →
docs · quickstartManaged Agents quickstart →
docs · the agentAntigravity agent docs →
docs · the apiInteractions API →
the modelGemini 3.5 — the engine →
deep diveThe Interactions API explained →
try it · ai studioBuild with Agents playground →
get startedGet a Gemini API key →
what it costsGemini API pricing →
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It doesn't just answer. It works.
Here's the part that matters. I asked it to grab a live headline. It wrote a scraper, the scraper failed, it read the raw page, fixed its own code, tried again, got it, and cleaned up after itself — all on its own, in 62 seconds, in Google's cloud. This is the real, unedited run:
1.Its own cloud computer
Every task gets a fresh, isolated Linux box in Google's cloud. It can install anything and run anything — and none of it touches your Mac.
2.It browses the live web
It opens real pages and pulls real, current data. That's why its dashboard has today's numbers, not last year's guess.
3.It runs code and fixes itself
It writes a script, runs it, sees the error, and fixes it — the loop you saw above. You get the finished result, not a half-answer.
4.The finished files come home
Whatever it builds — a dashboard, a deck, a brief — lands straight in your Agent OS workspace and renders live. Nothing gets lost.
Thinking it?"Sounds like a fancy chatbot."
A chatbot can't fail a scrape, read the HTML, and fix its own code in a real Linux box. This did — look at the run above.
It's an agent doing real work on a real computer, just not yours.
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My story · why this matters
I was you. Then the heavy work left my desk.
Before
The big jobs always ran on my Mac.
Research that opened forty tabs. Scripts that pinned the fans.
I'd babysit it, and I'd never let an AI just run code on my machine.
So the heavy stuff sat in a pile I never got to.
Then I gave it to an agent in Google's cloud.
After
Now I hand off the heavy job and walk away.
It researches and runs the code on its own machine, not mine.
A finished dashboard or brief is waiting in my workspace when it's done.
My Mac stays cool, and the pile is gone.
You can have this too. Same cloud. Same workspace.
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Before you scroll on —
Commit to transitioning today. Not tomorrow.
You've seen the proof above. Real work, done in the cloud.
The next few minutes show exactly how this runs inside Agent OS.
So here's the deal.
Promise yourself one thing right now — you'll hand ONE heavy job to a cloud agent before you sleep tonight. Just one. The research you keep putting off, the data you never crunch. Because the moment you stop running the heavy stuff on your own machine, your whole day changes.
The people sitting still are still babysitting forty tabs. The people handing it off today wake up to the answer already built.
Be one of those people.
Commit to the transition. Commit to taking action today. This changes where your work happens.
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The Goldie Cloud Crew™.
Five things turn "a Google API" into a crew that does your heavy work in the cloud and hands it back finished.
i.The Sandbox
It gets its own cloud computer for every job — install anything, run anything, and none of it ever touches your Mac.
ii.The Hands
It browses the live web and runs real code, so the work is done with today's data — not a guess from training.
iii.The Receipt
Every run keeps a full step log — the commands, the failures, the fixes. You can see exactly what it did. No black box.
iv.The Return
The finished files come straight home to your Agent OS workspace and render live. You stop losing what gets built.
v.The Standby
The cloud box stays put between calls, so you can come back and say "now add a chart" — it picks up right where it left off.
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How most people do the heavy work. And how the Cloud Crew does it.
Old way~hours · on your Mac
- Open forty tabs and research by hand
- Run heavy scripts that pin your fans
- Babysit it the whole time
- Never dare let an AI run code on your machine
- Copy results into a doc you'll lose
- The big jobs sit in a pile, never done
New way · the Cloud Crew~4 min · off your Mac
- Give it one task in plain English
- It researches the live web in its own cloud box
- It runs the code, fails, and fixes itself
- Your Mac never lifts a finger
- The finished file lands in your workspace, live
- You come back to the answer already built
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Give it a heavy job. Walk away.
You type a task — "research X and build me Y." Agent OS hands it to the cloud agent. It does the work in its sandbox, and the finished file shows up in your workspace, ready to open. Here's the exact SEO job I ran:
★The worked example: a live SEO scout
I gave it one keyword — "AI agent operating system" — and told it to do real SEO research. It opened the actual search results, read the pages that rank, worked out what they all cover, found the gaps, and wrote a full content brief a writer could use to outrank them. All in the cloud, off my Mac. Open the brief →
1.You give it the job
Plain English. "Research the top-ranking pages for this keyword and write me a brief." No code, no setup.
2.It works in the cloud
It opens the real pages, reads them, finds the gaps, and writes the brief — on Google's computer, not yours.
3.The result lands in your workspace
The finished HTML drops into Agent OS and renders live. You open it, use it, done.
Thinking it?"Isn't running things in the cloud expensive?"
You only reach for the Cloud Crew on the heavy jobs that are worth it — the deep research, the real data crunching.
Your local free agents in Agent OS still handle everything else for nothing. This is the one you call in when the job is too big for your Mac.
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Run the Cloud Crew inside your Agent OS.
If you want this done-for-you — the cloud agent wired in, the artifacts landing in your workspace, plus the local agents that handle everything else for free — it all lives inside the Agent Operating System in the AI Profit Boardroom.
- The full Agent OS zip — Claude, Hermes, Kimi, N2 and the Cloud Crew in one dashboard
- The exact setup — copy it, plug in your key, run your first cloud job same day
- A 30-day roadmap — your first heavy job handed off day 1, a workflow by week 1
- 4 weekly coaching calls · prompts · the Obsidian memory setup
- 2,200+ founders · 38 countries · someone online 24/7
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Same crew. Different jobs.
Anything that's too heavy, too slow, or too risky to run on your own machine — hand it to the cloud:
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SEO scout
Reads what's ranking, hands you the brief to beat it.
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Data crunch
Feed it a CSV, get back charts + a dashboard.
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Deep research digest
What shipped in your space this week, written up.
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Repo work
Clone, run the tests, hand back a fix — in its own box.
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Should you hand off a job today?
If you do any heavy research or data work — yes. Tonight.
The first time a finished brief or dashboard shows up in your workspace while your Mac sat idle, you'll wonder why you ever did it by hand.
The people handing the heavy, code-running work to cloud agents now — while everyone else still babysits their laptop — are the ones who'll have whole days back when this is normal. Every job you hand off compounds.
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What you just gained.
i.
You got your Mac back.
The heavy jobs run on Google's computer, not yours.
ii.
You got real data.
It browses the live web, so the work is current — not a guess.
iii.
You got finished work.
It runs code and fixes itself, so you get the result, not a half-answer.
iv.
You stopped losing it.
Every build lands in your workspace and renders live.
Hand off the heavy job. Walk away. Come back to it built.
Make the heavy work run itself — in the cloud.
Grab the Agent Operating System inside the AI Profit Boardroom. It turns Claude, Hermes, Kimi, N2 and the Cloud Crew into one system with shared memory and one dashboard you control. The local agents work for free; the Cloud Crew takes the jobs too big for your Mac.
- 2,200+ members · daily tutorials · 30-day roadmap
- The 158-page wins doc — read it here
- The cloud-agent setup, every prompt, the Obsidian memory setup, coaching calls where we wire it together