Beta feedback synthesiser & change shortlist

Packaged know-how that tells an agent how to do a job well.

You might say…

“Eight readers gave me conflicting notes — this showed me the three patterns underneath all of it.”

What it does

Clusters raw beta-reader responses into themes, separates last-mile fixes from rethink-the-argument signals, and proposes a prioritised shortlist of changes to make before approval.

Trigger: Use after beta responses come in to convert raw feedback into a structured, actionable shortlist.

I/O: Raw beta-reader responses → themed clusters + last-mile/rethink separation + prioritised change shortlist

Recognise the problem?

The primitives are the commodity part. The fastest next step is a conversation about composing them into something that works for you.

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