
Avery NXR
Describe it. Avery fabricates it. Runs locally.
56 followers
Describe it. Avery fabricates it. Runs locally.
56 followers
Describe an AI agent in one sentence. Avery fabricates a deterministic agent that runs on your hardware - private, auditable, owned. No code. No cloud lock-in. No per-token meter. Production-ready in under 30 minutes.
This is the 2nd launch from Avery NXR. View more

Avery
Launched this week
Most agentic AI projects will fail, killed by cost, privacy, and no determinism. Gartner expects ~40% to be canceled by 2027. The work most worth automating is exactly what you can’t hand to a metered public cloud.
Avery flips that. Describe an agent in one plain sentence; Avery fabricates a deterministic agent that runs on your hardware, private, auditable, owned. No code. No cloud lock-in. No per-token meter. From a sentence to a working agent in under 30 minutes.















Free
Launch Team


👋 Ruban here, co-founder of Avery.
Every "AI agent builder" today hands you the same thing: a chat box wired to a model that re-thinks your task from scratch every single time it runs. Magical in a demo, terrifying in production: non-deterministic, unauditable, expensive, and leaking your data to a frontier model for work a single line of code could do.
We took the idea from computing's most reliable invention: the compiler. You describe what you want in plain language, and Avery performs Agentic Compilation. The AI does the hard thinking once, at build time (or on feedback from the user), and emits a real, deterministic workflow. What you get is a Compiled Agent: an inspectable, reproducible program you can open, debug step-by-step, and trust to behave the same way tomorrow. The model designs the agent; it doesn't become the agent at runtime. You get frontier-model intelligence with the reliability of software.
And here's what genuinely sets us apart: most platforms let you build an agent, or a web app. Avery builds all of it from one desktop:
🤖 Agents — headless workers that run on a schedule, a trigger, or an inbox.
🖥️ Web apps — real, deployable Next.js products, not mockups.
📱 Mobile apps — genuine Expo apps, previewed on your phone via QR.
🎛️ Agentic apps — a real UI for your agents, so a non-technical teammate can actually use them.
One canvas. One plain-language conversation. Four kinds of software that ship.
A few more things we haven't seen elsewhere:
⚡ Cheapest capable mechanism wins. Every step is biased toward rules → code → an on-device model → the cloud, in that order. Avery won't bill you a frontier call to check if a number is greater than five.
🔒 On-device by default. Local models (in-app WebGPU + Ollama) handle the private, routine work. Your documents don't leave your machine unless a step truly needs the cloud and you approve it.
🩺 Self-healing builds. Avery tests each agent against your real data, finds the exact step where the data went wrong, and repairs it, instead of failing with a shrug.
We're two-time co-founders who've spent years watching "autonomous agents" shatter the moment they meet the real world. Avery is our answer: software you can read, price, trust, own, and ship.
Would genuinely love your feedback. We're in the comments all day. 🙏
Ran it locally on an old workstation and had a working agent in about 20 minutes, the setup was way smoother than I expected for something this self-contained.
@trkanrln4 really appreciate you downloading the software. Glad to hear that you had a good experience. Thank you.
Excited to see this go live 🚀
I'm on the eng team at Avery. The audit ledger was one of my favorite things to build, it's overkill for most use cases, but for the regulated customers we've been talking to, it's the reason they can say yes to AI at all.
If you're evaluating agent platforms with compliance in mind, ask us about the ledger. It's the boring feature I'm proudest of!
AskMore
Congrats folks
@arindambarman Thank you Arindam, can't wait for you to try out the product :)
@arindambarman thank you