The summary guide starts with a bounded task and a recoverable source. The sentiment guide asks what an annotation actually measures. Both distinguish a well-shaped output from a well-supported conclusion. Use this collection to plan an internal pilot, define review criteria, and keep derived labels from becoming unsupported public claims.
A CURATED READING THREAD
2 guides to follow.
AI feed summaries that stay connected to the source
Design a reviewable AI summary workflow with bounded tasks, source evidence, structured output, evaluation, and a clear correction path.
Sentiment tags: keep the context, question the score
Define the target, evaluate difficult examples, and present sentiment labels without confusing tone with truth or future outcomes.

