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currently, PIM has admin notes where a TAMICC (teacher, author, mentor, influencer, coach, or content creator) can call out any important items on a source item that are not caught by AI, which would include notes from the comments
we can automate some of that by automatically capturing comments in the PIM raw text blob. further, we could run an LLM over the comments to consolidate and automatically pick out themes and tags for the PIM
for efficiency, we could also apply some threshold or logic to the comments like most liked or most interacted comments only
The text was updated successfully, but these errors were encountered:
currently, PIM has admin notes where a TAMICC (teacher, author, mentor, influencer, coach, or content creator) can call out any important items on a source item that are not caught by AI, which would include notes from the comments
we can automate some of that by automatically capturing comments in the PIM raw text blob. further, we could run an LLM over the comments to consolidate and automatically pick out themes and tags for the PIM
for efficiency, we could also apply some threshold or logic to the comments like most liked or most interacted comments only
The text was updated successfully, but these errors were encountered: