Some tasks just sit there all week. That stack of vendor contracts, or the spreadsheet you keep promising to look at. I’ve lost whole afternoons to that kind of work, so this post caught my eye fast.
A LinkedIn creator just broke down Google’s new Gemini 4 Argon, and the angle is smart. It isn’t another “look how fun this chatbot is” take. The author says Argon is built for the work founders dread: contracts, financial models, and the codebase nobody wants to touch. In other words, the stuff that quietly eats your whole Tuesday.
The post’s author makes one more point I loved. Most people will test Argon with a trivia question, close the tab, and call it hype. That’s the wrong test.
What Argon actually is
Argon went live on October 13. It’s the first Gemini 4 model, and it’s built for deep, multi-step work, not quick chats. It also ranks #1 on the Vals Index, a benchmark that tests AI on finance, coding, legal and tax work.
The expert asks you to picture your week. Three vendor contracts sitting unread. An app your users keep calling slow. A launch email you’ve rewritten six times. Before, the author would have split that across three people and a lawyer. Now it’s one tab and a few clear prompts.
The creator admits they underrated this for years. Most of a business runs on boring, high-stakes reading, and that’s exactly where Argon earns its keep.
5 ways to put Argon to work this week
Here’s where the original poster would point it first. I added a quick note on why each one matters.
- Contracts: Paste in your agreements and ask for a side-by-side. Try “Read these 3 vendor contracts. Compare fees, renewal terms and risks in one table.” A clean table makes the hidden auto-renewals and fee jumps easy to spot.
- Code: In Antigravity, give it a goal instead of step-by-step instructions. For example: “/goal Cut our app’s load time in half without breaking any existing tests.” You set the result you want and let the model figure out the path.
- Writing: According to the author, it follows style rules, hedges less and skips clichés. Ask for a launch email under 150 words with zero buzzwords. That’s a solid way to test whether it really listens.
- Numbers: It handles financial analysis and data trends over time, not just summaries. So you can ask what changed and why, instead of getting a recap of what you already know.
- Prototypes: It can build 3D visualizations and browser games so you can test an idea fast. That’s handy when you want to show a concept instead of describing it.
Proof from Google’s own teams
The LinkedIn user shared some impressive internal results. Google’s teams used Argon to make a quantum chemistry tool up to 2.3x faster. It made Gemma models nearly 3x faster. It even helped advance nuclear fusion research.
The safety part builders will like
This is the part the author cares about most as a builder, and honestly, me too. Argon pauses before irreversible steps. It reports failures honestly. And shortcut attempts on coding tests dropped to 2%.
Why does that matter? If you’re handing an AI real tasks, you need to trust that it won’t quietly fake a passing test or delete something important. That kind of honesty is worth more than a flashy demo.
The numbers
- Input: $2 per 1M tokens
- Output: $10 per 1M tokens
- Caching: 95% off cached input
- Context: 1M tokens on the Gemini API
Those prices are introductory, as of October 14.
Where to find it
You’ll find Argon in the Gemini app and AI Mode on Google AI Pro and Ultra. Antigravity needs Ultra. Developers can get it on the Gemini API paid tier.
The founders who get this early won’t work harder. They’ll just stop doing work that never needed them.
That closing line from the creator stuck with me. If one of those dreaded tasks is sitting on your list right now, it’s a good first test for Argon. Know a founder still drowning in contracts? Send this their way.
Which task would you hand Argon first? Check out the full LinkedIn post for the complete breakdown and the conversation around it.