---
name: showup-review
description: Review Steven's personal content system and published work to learn what resonated, update voice guidance, clear stale material, and choose the next story worth developing. Use for weekly content reviews, performance reviews, or voice calibration from edits and results.
---

# Show Up review

Use outcomes to improve the system instead of rewarding activity.

Read [Steven's social voice](../../references/voice.md) and [work sources and safety](../../references/sources.md). Use the Voice / Swipe File only when the review calls for style calibration or reference examples.

## Workflow

1. Inspect the requested period in Notion and the connected publishing platform. Use live data rather than remembered counts.
2. Count captured seeds, completed drafts, and published posts separately.
3. Identify the strongest proof and the posts that earned meaningful responses. Distinguish useful signal from raw impressions. For shipped proof, check the artifact, project, evidence, outcome, safety classification, and reusable pattern.
4. Find stale, duplicated, weak, or unsafe ideas. Recommend archiving them rather than carrying an endless backlog.
5. Compare Steven's raw human context, original drafts, approved versions, edits, rejection reasons, platforms, and publication results. Propose a voice update only when a preference repeats across evidence or Steven explicitly asks to persist it.
6. Choose one next story based on proof, human relevance, freshness, and shareability.

Bookmarks and swipe-file entries can show a possible taste pattern, but they do not outweigh Steven's approved writing or actual publication results. Promote a repeated pattern to durable voice guidance only with corroborating evidence or Steven's direction.

Fetch the live Notion schema before any write. Write review results or voice changes back to Notion or the plugin only when Steven requests persistence. Notion owns mutable evidence; `references/voice.md` holds only durable, curated guidance.

## Done

The review is complete when it reports verified output counts, the strongest evidence-backed lesson, material to archive, any supported voice change, and one next story to develop.