NodeOps @NodeOpsHQ
NodeOps brings AI creation and real economics together via CreateOS. Three powerful layers. One unified workspace. linktr.ee/nodeops Joined April 2023-
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We wrapped up two days at @stepconference SF. Amazing conversations with founders and builders, building the next generation of AI agents. Here are some sneak peeks from the conference 👇🏻
1 day left for Smart AI 100 Summit. See you in San Francisco tomorrow. If you're nearby, come say hi. We will have some interesting conversations going. Link below 👇🏻
CreateOS will be in a room full of innovative leaders in San Francisco for the Smart AI 100 Summit on September 3. Catch @naman_307 , our co-founder and CEO, there to talk anything and everything shaping the agent ecosystem. Link in the comments 👇🏻 Host: @gracegongGG
@naman_307 @gracegongGG Registration link: luma.com/eg2lvyxq
San Francisco, September 3 🗓️ CreateOS joins a room full of 100 innovative leaders at the Smart AI 100 Summit. Go chat with our cofounder, @naman_307, there and pick his brain on agents, infra, or just why San Francisco traffic is like that. Host: @gracegongGG
CreateOS will be in a room full of innovative leaders in San Francisco for the Smart AI 100 Summit on September 3. Catch @naman_307 , our co-founder and CEO, there to talk anything and everything shaping the agent ecosystem. Link in the comments 👇🏻 Host: @gracegongGG
Majority of AI agents run on a shared machine, wide open, the same one your actual work runs on. With CreateOS Sandbox, it's different. Your agents get their own isolated microVM (📦), live in 0.24s (⚡️), independently ranked #2 of 26 on ComputeSDK's benchmark (🥈), and pausable, resumable, and forkable anytime (⏯️).
Most cloud billing works the same way. Provision a machine, meter runs until you shut it down. Agent workloads do not work that way. Ninety seconds of work, hours of idle, then work again. CreateOS Sandbox was built for the second pattern. Cost per second visible before you create. Meter runs only while working. Pause-when-idle stops billing the moment the sandbox goes quiet. Billing for what you used, not what you provisioned. Changes the monthly number for teams running hundreds of agent sessions.
There is a number most sandbox providers do not talk about. How long it actually takes for a sandbox to go from requested to ready to run your code. CreateOS Sandbox does it in a median of 0.24 seconds. Verified by an independent benchmark that runs the same test 100 times across every provider it tracks. Out of 26 providers, CreateOS ranks second with a perfect success rate, meaning every single one of those 100 runs actually completed. Every second an agent waits on its environment is a second it is not doing the work you pay for.
CreateOS is heading to @token2049 Singapore, one of the largest gatherings of founders, investors, and industry leaders. Our team will be there to connect with teams and builders shaping the next generation of AI agents and infrastructure. If you are deploying AI in production, come find us. Register 👇🏻 and get exclusive 10% ticket discount Code: CREATEOS Link: tickets.token2049.com/token2049-sing… More details coming soon. See you in Singapore.
Love seeing how builders are using CreateOS to bring apps like Pharmpanion to life 💊 From medication tracking to seamless pharmacy operations, this is what building fast and smart looks like 🚀
@createosai 🚀 Meet Pharmpanion 💊 A digital pharmacy ecosystem where users can find & verify medicines, check pharmacy availability and manage medication adherence. Pharmacies can manage inventory, customers & operations,all in one platform. Explore : …a7-b8bc-dc4a0cfe6e41.tyzo.nodeops.app
Most people think the highest cost of AI is tokens. Even @a16z recently called out that agents burn nearly 5x the tokens people do. The truth is, tokens are the smallest line on your bill. An agent in production needs a server, storage, network, retries, and someone awake when it breaks at 2 a.m. CreateOS gives you visibility into every cost before the invoice lands, not just the token line.
OpenAI's Select Partner tag means more than it looks like for CreateOS. Building an agent isn't the challenge anymore. Running it safely in production is, and that's exactly where CreateOS fits in. Read more in our latest LinkedIn post 👇🏻
Imagine asking your AI agent to cross-reference compliance data from your document store against supplier records in your ERP before a quarterly audit. That only works if the agent is allowed to touch both systems and you can prove what it did afterward. Most teams cannot do either, which is why pilots stall. CreateOS is built to solve that. Every agent runs through identity, policy, audit, and a kill switch before it acts, with every action logged so you can trace what happened and who authorized it.
@createosai Catching fraud is great, but executing transactions requires deterministic precision, detection is a suggestion, execution is an action.
We announced CreateOS as part of the @OpenAI Select Partner Program recently, and this is what that conversation actually looked like on our end 👇
Come meet the team at @stepconference SF 2026 on August 27.
CreateOS will be at @stepconference SF 2026 🌉 If you are deploying AI agents and need governed infrastructure that handles identity, policy, audit, and deployment in one workspace, come find us. Otherwise, let's have a chat with our founder. Would love to hear what you are
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