Support tickets, sales quotes, onboarding, reconciliation, full-stack apps — one validated runtime underneath all of it. Not a code generator. A compiler with a whitelist.
Most AI code generators hand you a file and hope. The model writes source code, your CI trusts it, and the first real test of what it's capable of happens in production — against your database, your customers, and your uptime.
Every generated feature still needs a human review pass before anyone trusts it near production data — the "AI wrote it in 10 seconds" pitch quietly becomes a week of code review.
Hallucinated logic looks correct at a glance. Without a runtime that rejects invalid structure outright, bugs surface as incidents instead of failed compilations.
Free-form generated code can call anything the host language can call. One over-privileged agent, one prompt injection, and the blast radius is your whole server.
Claude writes the instruction, in plain language, for whichever workflow you're building. Magic Cloudlets compile it into a runtime-checked execution tree before anything touches your database — the same boundary whether it's a support macro or a full application.
Backend CRUD, integrations, and internal tools get generated and validated in one pass. Self-hosting on your own infrastructure also removes per-seat platform tax entirely.
Structurally invalid or unauthorized instructions fail at compile-and-bind time, before they touch a database or a customer. Defects show up as build errors, not incidents.
Access control is checked at the execution layer itself, per function, per role — not bolted on as a generated middleware layer that a bad generation can bypass.
Run your cloudlet on our infrastructure, your cloud, or fully air-gapped on-prem. The runtime underneath is open source — audit it, self-host it, or have us operate it for you.
Co-founder
Creator of Hyperlambda and Magic Cloud. Years building the runtime and RBAC model that Nuity AI's cloudlets run on in production today.
Co-founder
Co-founder of Nuity AI, building the go-to-market for Magic Cloudlets with enterprise engineering leaders.
20 minutes. We'll walk through the validation boundary against your own use case and tell you plainly whether a cloudlet fits.