How accurate are AI summaries?

Marqly’s AI summaries are grounded in the actual content of the page or video transcript — they compress what’s really there rather than guessing from a title or filling gaps with general knowledge. That makes them dependable for triage: deciding what deserves a full read, recalling what a video covered. But AI can still make mistakes, so treat a summary as a map, not the territory, and check critical facts against the source.

Grounded means anchored to the source

For articles, the summary is built from the saved page’s content. For YouTube videos, it’s built from the transcript of what’s actually said. This grounding removes the worst failure mode of AI summaries — confident text generated about a topic rather than from the document — but it doesn’t make the output infallible. Compression involves judgment calls, and a model can occasionally misweight or misstate a detail.

Verification is built into the workflow

For videos, checking is one click: the Transcript tab sits next to the AI Summary tab on the same watch-page card, so you can confirm a quote or number against the source without going anywhere. For articles, the source is the saved page itself. The honest workflow: trust the summary for orientation, verify the specific claims you’re about to act on or repeat.

Use summaries for what they’re good at

• Good: triaging a save backlog, recalling what something covered, deciding whether an hour-long video is worth your hour.
• Not the job: citing a figure in something that matters without checking it, or substituting for reading when the stakes are high.

When it’s decision-critical, read the source — the summary’s job is telling you which sources deserve that. Full walkthrough: summarize YouTube videos with AI.