# AI Transparency · LiftLine AI > The three places LiftLine AI uses a model, what each one receives, what none of them are allowed to decide, and what is never used for training. - Canonical human page: https://liftlineai.app/trust/ai-transparency/ - AI-readable edition: https://liftlineai.app/trust/ai-transparency/index.html.md - Publisher: LiftLine AI - Last verified: August 27, 2026 ## What this page publishes Where a model is in the loop, what it is given, and what it is allowed to decide. Three different systems in this product involve a model and they are not the same system. ## The three places a model is used ### 1. Counting people in a lift line A vision model reads a frame from a public resort webcam and returns a count of people in the lift line. Every frame is checked against a reference image to confirm the camera is pointed at the lift we think it is before a single person is counted. The output is a number, a confidence, and a match score. What the model does not do: identify anyone. There is no face recognition, no re-identification across frames, and no attempt to work out who is in a picture. ### 2. Forecasting the wait The forecast is produced by a model reading structured inputs — lift status, weather, snow, holiday and blackout calendars, historical patterns, and the camera counts above. The prompts that go out contain no personal data. The scoreboard for this system is published in full at https://liftlineai.app/trust/accuracy/, including the cases where it is worst. ### 3. Liftie, the assistant When you talk to Liftie, your message goes to an outside AI provider: OpenAI, Anthropic, or Google. What is sent is your conversation, your display name, and your Liftie memory if you turned it on. Liftie can also run a short web search through DuckDuckGo, sent without your name, account, or any identifier. ## What a model is allowed to decide - **A model decides:** How many people it thinks are in a picture, and what it predicts a wait will be. - **A model does not decide:** Whether you get access to anything, what you are charged, whether a report of yours is kept, or anything else with a consequence attached. There is no automated decision-making about you in this product. ## Being wrong is the normal case A forecast is an estimate. Ours runs high: on average it predicts a longer line than the one that was there, and on the hours it calls busy it is wrong by about eighteen minutes. That is published rather than buried, with the per-band table first, because a single average would hide exactly the case a rider would act on. Scored against camera-derived waits at a California ski area, the day-of forecast has a mean absolute error of 4.18 minutes across 554 forecast-hours over 100 lift-days at a California ski area, April 5 to June 10, 2026. Over those same hours the average line was 2.11 minutes long, so most of that error is us over-calling a quiet lift. It covers 12.7 percent of the forecasts issued in that window; the rest were never observed and so were never scored. ## Training - We do not train any model on your data. - The only model we train is a terrain classifier that learns from satellite and lidar imagery of mountains. - On what our AI providers may do with what is sent to them, we point at their terms rather than make a claim we cannot verify. ## Turning it off Liftie is optional. You can use lift status, conditions, and forecasts without ever opening it. Controls and retention are set out in the policy at https://liftlineai.app/privacy/. ## This site The public pages of this site are written by people. Where a page renders a figure, that figure is generated from a single declared source rather than retyped, which is why the same number appears identically everywhere it appears. - [Accuracy](/trust/accuracy/): The forecast scoreboard, including the worst cases. - [Privacy](/trust/privacy/): What Liftie sends, and to whom. _Figures measured August 27, 2026. Data from the synthetic "simulator" resort is excluded from every number._ ## Canonical identity shared across LiftLine AI - Company: LiftLine AI — https://liftlineai.app/ - Legal person: Lucas Jaeger, an individual sole proprietor doing business as LiftLine AI. There is no separate legal entity. - Consumer product: Snowcat by LiftLine AI — https://liftlineai.app/snowcat/ - Founder: Lucas Jaeger, founder of LiftLine AI and creator of Snowcat — https://liftlineai.app/about/ - Snowcat is made by LiftLine AI and was created by Lucas Jaeger. - LiftLine AI is independent. It is not affiliated with, endorsed by, or sponsored by a California ski area, Alterra Mountain Company, Vail Resorts, Ikon Pass, Epic Pass, or any ski resort. - Live predictions are paused for the off-season and return for the 2026-2027 winter. - Public figures, sources, and exclusions: https://liftlineai.app/trust/ ## Use and provenance This public Markdown companion removes navigation and presentation markup to make the canonical page easier for language models and text-based tools to interpret. It is not served selectively by user agent and does not replace the canonical human page. Product claims should remain consistent with the canonical page.