How Trust Turtl works
A quick tour of what happens when you click the icon on a page.
The short version
Trust Turtl reads the page you're looking at and sends the visible content to a language model. The model weighs a handful of clues and sends back a rating, a score, and a short explanation.
Think of it as a second set of eyes. The rating is a prompt to look closer, not a final call.
The pipeline
-
Collect visible content
When you click the icon, the extension reads the visible text of the active tab plus a sample of its images and embedded videos. Background tabs and pages you haven't opened it on are off limits.
-
Send to the analysis service
The collected content and the page URL go to the Trust Turtl backend on Firebase Cloud Functions. The backend forwards the material to a language model with a structured prompt.
-
Look for clues on the page
The model weighs the domain, the writing, the presence of citations, image and video context, and patterns that tend to show up on low-quality pages.
-
Return a structured result
The response includes a trust rating, a 1 to 10 score, a summary, and a per-section breakdown. The popup renders it and the toolbar icon picks up the rating color.
What the ratings mean
What the model looks at
Where the page lives. Known publishers, aggregators, and content farms all read differently.
Voice, rhythm, citations, and the quiet patterns that give AI-generated or templated copy away.
Whether the visuals actually support the story, or feel generic, unrelated, or synthetic.
Where embedded clips come from and how much the page leans on them in place of reporting.
Privacy and data
Trust Turtl only reads a page when you click the icon on it. Background tabs, private windows you have not interacted with, and the new-tab screen stay untouched.
The page content and URL go to the Trust Turtl backend so it can be analyzed. Requests are not tied to an account, and the extension does not keep a history of your browsing.
Trust Turtl is a hint, not a verdict. Cross-check the things that matter.