YouTube is filling up with AI-made videos and content-farm channels. Legit reads the signals across a whole channel, right in your browser.
Channel-level · Multi-signal · Independent.
A single clip might pass as human. Twenty uploads in, the pattern gives it away.
Legit reads the whole channel: how it writes, how it sounds, how it looks, how it acts, how it's run. Then it judges every new upload against everything before it. A one-shot detector sees a single video in isolation. We see the fingerprint across all of them. Much harder to game.
Five signals, composed of over 70 identifiers, answer two separate questions about every channel.
Transcripts, titles and descriptions, read for patterns consistent with AI writing. Feeds the authorship read.
Cloned voices, synthetic narration, robotic TTS. Feeds the authorship read. Often fills in over time.
Thumbnails and frames, checked for the fingerprints generative models leave behind. Feeds the authorship read.
Upload cadence, comment patterns, community signals. Is this run like a content farm?
Channel age, verification, history and public metadata. A legit operation, or farm-like?
We don't boil a channel down to a single score. Those two questions stay two separate reads, each scored on its own with the signals behind it, so a clear answer on one never gets averaged away by the other.
When both reads land at the same end, AI-made content on a farm-like channel, that combination is what we call AI Slop. It's the two reads agreeing, not a separate score.
Some signals come back clear. When one is unclear, we say Mixed Signals. When one is missing, we say that too. We never fill a gap with a guess, or read an unknown as human.
YouTube does auto-label some AI now, but mostly when it can see a watermark or provenance tag from its own tools, Veo, or its partners, or spot obvious photorealistic AI. Use a different generator, strip the watermark, let AI write the script, or simply run a low-effort farm, and there's nothing to label.
And there's a conflict of interest baked in: YouTube is owned by Google, the same company building the AI tools creators use, like Veo and Gemini. It earns ad revenue when AI content runs, keeps 100% of the money when it demonetizes, and sets the labeling threshold inside a black box no one can audit. The safe move for its business is to under-report AI, which is exactly why an independent read matters.
Legit doesn't wait for a watermark. We read what's public across a whole channel, and we answer the second question too: is this run like a content farm? YouTube's label is a data point, not the answer.
Identifying AI is step one. The bigger goal is putting you back in control of what actually reaches your feed.
Viewers deserve to know.
The part we're building now. Legit reads any channel across five signals and two questions, right in your browser, and shows you the receipts behind every call.
Live at launchViewers deserve to choose.
Once it's identified, you decide what to do with it. Hide, blur, or down-rank AI Slop across your feed, on your terms. Set it once and stop scrolling past channels you never wanted in the first place.
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