Plain-English transparency on which features in Earling Labs Ringer use AI, what kind of AI powers them, and what that means for you. We believe in over-disclosing rather than under-disclosing on AI.
Earling Labs Ringer uses AI to draft content for you to review and send. Most AI-powered features in Ringer are powered by Claude, an AI assistant developed by Anthropic, a U.S.-based AI safety company. When you use AI features, your prompts and the resulting outputs are processed through Anthropic's API.
AI is a tool that drafts and assists. Final decisions, final outputs, and what gets sent to your customers — those are always yours. Nothing in Ringer is sent on your behalf without your explicit action.
AI may produce content that is inaccurate, incomplete, or misleading. Always review AI-generated content before sending it to customers, signing it on someone else's behalf, or relying on it for important decisions. You are responsible for the final content sent — Earling Labs Ringer is a tool that drafts; you decide what gets sent.
The specific AI-powered features in Earling Labs Ringer:
Claude is an AI assistant developed by Anthropic, a U.S.-based AI safety company. We license Claude through Anthropic's commercial API like any other developer. We are not affiliated with Anthropic beyond being one of their many API customers. The AI-generation capabilities you see in Ringer — drafting language, summarizing content, extracting data from images — are powered by Claude.
For full transparency on AI usage across the entire Earling Labs suite (including which products use proprietary Earling Labs ML models versus Claude), see the master AI Disclosure on earlinglabs.com.
Every piece of AI-generated content in Ringer — every draft, every extraction, every summary — is exactly that: a draft. You see it, you can edit it, you decide whether and when to send or save it. Take the moment to review. AI is a powerful drafting assistant, but it makes mistakes — wrong numbers, hallucinated facts, misremembered context, awkward phrasing.
When you click "Send," "Save," or any action button on AI-generated content, the content is yours — sent under your name, attached to your business, on the record under your account. You — not Earling Labs, not Anthropic — are responsible for what was sent. Earling Labs Ringer provides the tool; you provide the judgment.
To provide AI features, the data you put into Ringer (your prompts, customer details, images for AI Vision, job descriptions) may be sent to Anthropic's API for processing. We do not sell your data or your customers' data to third parties. For details on how Earling Labs handles your data overall, see our Privacy Policy. For Anthropic's own policies on data retention and training, see Anthropic's Privacy Policy.
To make Ringer's AI more accurate over time, we keep a record of how the AI did its job and how it compared to real outcomes — for example, the value the AI estimated for a job versus what the job actually booked at. This lets us measure where the AI is off and improve it, and we may use it to train Earling Labs' own machine-learning models in the future. This record is pseudonymized (it isn't stored under your name) and is used only to improve Earling Labs products — never sold. Importantly, it stores no homeowner personal information and no message text — not a name, phone number, address, or the words of any lead or reply — only non-identifying signals like job category and estimate accuracy. If you'd prefer your account's data not be used this way, email support@earlinglabs.com and we'll exclude it.
If you ever want to know how a specific feature works, what AI is involved, or what happens to a specific piece of data, email support@earlinglabs.com. We respond personally. Transparency on AI is something we take seriously.
We are transparent about what we built and what we license. We do not claim to have built "our own AI" for features that are powered by Claude. The language generation, vision extraction, and content drafting in Ringer are powered by Anthropic's API. Where we have built our own proprietary machine-learning models (most notably the Earling Labs Predictor in our Trading Platform), we'll always be specific about that.
If you ever see Earling Labs marketing or product copy that overstates what's proprietary vs. external — please point it out. We'll fix it.