From rough system idea
to structured model.
Cairn is an AI engineering workspace that turns ideas into inspectable, structured system models — not chat transcripts.
See what a real engineering session looks like.
Start with a rough concept. AI asks focused clarifying questions and builds a refined system description.
What detection modalities are you envisioning for fire sensing?
Sensor selection drives drone payload weight, power consumption, data processing requirements, and cost per unit.
The Forest Fire Early Detection Swarm System is a fully autonomous multi-drone surveillance network designed to provide continuous aerial coverage of a small forested reserve (1–50 km²) during high fire-risk daytime hours.
The system uses multi-modal sensors including thermal/infrared imaging, gas sensors (CO/CO₂), and visible-spectrum cameras for early fire detection.
Additional details will be refined in the next round of questions...
Four steps from idea to model.
Describe
Start with a rough concept or engineering brief.
Decompose
AI interview refines it into a navigable system tree.
Inspect
Move between six lenses without losing the model.
Refine
AI proposes; the model stays yours to edit.
The model stays visible
What gets created is an explicit system model you can inspect, navigate, and continue refining — not a transcript dressed up as a product.
Built for serious work
Dense system trees, diagrams, inspectors, and simulation output belong on a real canvas. Designed for depth, not compromise.
Immediate and self-contained
Direct, fast, and close to the model. Everything runs locally today, with cloud persistence on the roadmap.
The model is the artifact,
not the conversation.
AI should contribute structure to a persistent, inspectable engineering model — not generate disposable text that vanishes when the chat window closes. Every node, interface, and requirement in Cairn is explicit, traceable, and yours.
Where Cairn is headed
Full modeling, AI decomposition, six lenses, changeset review.
Save, return, continue across sessions.
Shared workspaces and multi-user modeling.
Simulation, verification, export, full lifecycle.