Getting Started in Aire Labs
Aire is organized around a simple hierarchy: your organization contains projects, each project contains blocks, and each block contains terms. A project maps to a real-world asset—a solar farm, battery system, or financing structure. Blocks organize it into logical sections. Terms are the individual variables that power everything. When your model is live on the platform, here’s how to get up and running.Find Your Project
When you log in, you’ll land in your organization’s workspace with your projects listed below. Click into a project to open it.Explore the Block Tree
On the left side of the screen you’ll see the block tree—your model organized into a hierarchy of blocks. Top-level sections appear at the top; subsystems and components nest below. This mirrors the tab structure of your original model. Click any block to select it. The terms inside that block appear on the right.Check your Terms
Each term displays its label, unit, current value, and the formula behind it if it’s a calculated value. Two color conventions carry over from Excel and apply automatically:- Blue values are direct inputs—numbers you set
- Black values are calculated—derived from formulas that reference other terms
Make Your First Edit
Click any blue input term and type a new value. Downstream calculated terms update immediately. This cascade is what makes the platform useful for quick what-if exploration—change one assumption and see it flow through your entire model in real time.Run a Quick Sensitivity
Open Sensitivity Analysis from the left navigation. Select an input term, set a lower and upper bound, and choose an output to observe—IRR or NPV are good starting points. Run it. Aire generates a tornado chart showing how that input drives your output across its range, and a data table with the underlying values. Sensitivity analysis is the fastest way to understand which assumptions in your model actually matter.Ask Project AI a Question
Open Project AI from the navigation and ask anything about your model in plain English:- “What’s the base case IRR?”
- “Which inputs drive NPV most?”
- “Are there any terms in this model that look unusual?”
