The core idea
Treat AI enrichment as a layer beside the original item, not a replacement for it. A suggested topic, a short summary, and a sentiment annotation answer different questions. Store them separately so a reviewer can accept one and reject another without changing the source record.
A workable starting pattern
Start with a small collection and a written task definition. Compare suggestions with reviewed examples, record specific errors, and create a correction path for every derivative. Measure review effort as well as output quality before expanding the scope. Keep unsupported answers out of the published collection.
A model may suggest “RSS” for an article that mentions it only once. A reviewer can reject that tag while retaining an otherwise accurate summary. The two annotations should not share one all-or-nothing approval field.
What this page does—and does not—offer
No model runs on this website. TagsFeed has no official model-provider partnerships and does not offer automated tagging as a hosted service.
