AI-Native Systems
Adding AI to an old system and designing a system around AI are two different jobs. An AI-native system assumes AI takes part in the work, across data, process and permissions. So the first questions are who may do what, where the record is kept, and where a person stands guard.
Taiwan · Dubai · Europe | English and Chinese | Fully remote
The core value comes from the model, so product experience and engineering must be designed together.
The goal is for AI to carry a whole stretch of work, beyond adding an AI button.
Each model has strengths, and they need to share work and check each other.
Data cannot leave the device or the internal environment, and every action must be recorded.
From product definition to launch, the work is done by our own team.
We decide what AI handles, what people handle, and what happens on failure.
Models from different providers share the work, and another model cross-checks the result.
Data stays on the device or the local machine and never passes through the cloud.
Important writes and outbound actions need explicit confirmation from a person.
Who did what, and on what basis, is kept in a record that cannot be rewritten afterwards.
Users can see what the AI is doing and how far it has got.
These principles come from tools we built and use every day.
AI can discuss and propose freely. Writing to real data passes a separate gate.
AI can only ask. Only a person can approve, and the approval holds only for the content shown at that moment.
Folders and actions without explicit authorisation are refused.
The system says so when it lacks a basis, instead of letting the model guess.
We learn the problem, your data conditions and your security requirements.
We prepare the architecture, approval points, timeline and quote. Work starts only after both sides agree.
We build the smallest working version to test whether the core assumption holds.
We deliver in stages and test each way the AI could fail.
We deploy, set permissions and confirm that records and recovery work.
We monitor, fix and adjust as models change.
Both are our own products, designed, built and released by us.
A tool that lets AI from three providers, Codex, Claude Code and Grok, work together in one room. Every message goes into an append-only ledger verified by a hash chain. Each change is made in its own workspace. Writing to the real project requires a person to read the full change and type a confirmation phrase. It runs entirely on your machine, with no backend, no account and no usage data collected.
From the iPhone share sheet, hand it a sentence you can't parse, an error message or a screenshot, and it returns an explanation in a fixed structure that you can keep questioning. It uses Apple's on-device model by default and masks sensitive data before anything leaves the device. No ads, no trackers and no account.
Every AI system differs in scope, data conditions and security requirements, so we quote each project instead of publishing fixed prices. Tell us the following and you will get an accurate estimate sooner.
Share your brief for a quoteAdding a feature puts one AI step into an existing process. An AI-native system is designed on the assumption that AI takes part, from data structure and permissions to the interface, so AI can carry a whole process while you keep control.
Models from one provider share similar preferences and blind spots. A model from another provider finds problems more easily.
Yes. We have built on-device models and systems that run entirely locally, and we recommend an approach based on how sensitive your data is.
We design important actions to need human approval and keep full records and recovery points, so you can find the cause and roll back.
It depends on scope. We suggest a prototype to test the core assumption first, then decide the full scope and timeline.
Yes. We take projects in Taiwan and abroad, including Dubai and Europe. We work in English or Chinese, and the whole process can be remote.
Tell us what you want to build and we will reply with an approach, a timeline and a quote.
Answers come from AI and may contain mistakes. Conversations are recorded to improve the service. Please do not enter sensitive personal data.