The job
You have a PRD open in one Notion tab and interview notes open in another, and you need a direct map between proposed features and what users actually asked for. You want a clean list of matches, conflicts, and missing requirements before the next planning review, without rebuilding both docs by hand in a separate chat window.
Why this is hard without Sephir
Notion AI reads one page at a time, so cross-document analysis turns into manual reconstruction. You end up copy-pasting two long pages into another tool, stripping callouts and headings, then re-prompting to recover structure each time the answer drifts. After a few turns, the context is bloated with boilerplate and the important signal gets buried in repeated text.
How Sephir does it
- Pin the two Notion tabs you want to compare.
- Open Sephir in the sidepanel with
Cmd+Shift+S. - Ask for a feature-to-feedback gap map with conflicts and missing items.
- Watch Sephir run
extractPageText(tab 1)andextractPageText(tab 2)in the audit timeline. - Review the synthesized output grouped as aligned, contradictory, and absent requirements.
- Save or export the result as Markdown for your planning doc.
The skill behind it
This skill runs the same repeatable flow each time: read both tabs, compare them directly, and return a structured synthesis you can act on in product planning.
skill: /notion-cross-ref
tools: extractPageText, compareTabs
intent: Cross-reference two Notion docs and produce a structured gap-and-overlap analysis.
What it costs
Sephir runs this on your own provider setup. If you use ChatGPT Plus via Codex OAuth, this workflow adds zero extra token charges. With a direct API key, expect about ~4,000–7,000 input tokens and ~700–1,200 output tokens per run on Claude Opus 4, GPT-5.5, or Gemini 3 Pro. License details are on /pricing.