AI Summarize RFC: Long Document Summary with Credit Control

AI summarize RFC — give the model a job, not a dump

Want AI to summarize an RFC? Do not paste 5k words and say “summarize.” Tell the output shape up front: executive bullets, outline, open risks, and this-week actions for a named role (eng lead, PM, SRE). Put that ask above the document so instructions are not buried. The Spacebunny “Long doc → summary” demo uses a sample RFC so you can see the shape before swapping in your own text.

Long document summary AI credits — how spend actually works

Long document summary AI credits are dominated by input size. Trimming appendices and duplicate changelogs often saves more money than picking a cheaper model. On spacebunny.me, 1 credit = 100 tokens (input + output). The composer shows a next-send estimate; free accounts get a soft warn on large pastes and a hard cap around 100k tokens per request so one paste cannot empty the account by accident.

Structure that ranks attention (and saves credits)

• Keep headings and numbered sections — they become citation anchors.
• Ask first, document second.
• Drop changelog noise and binary-ish tables that do not affect decisions.
• For multi-file packs: TOC, then the 3–10 hottest sections, then the question.

Copy-paste prompt for an RFC

• Produce: (1) exec summary 5 bullets (2) section outline (3) risks / open questions (4) actions for an eng lead this week.
• Cite each risk or action with a section header from the paste.
• If a claim is not in the doc, say “not specified” — do not invent product facts.
• Keep the reply shorter than the source; prefer lists over essays.

Validate before you share

If citations drift from your headings, the model is improvising — shorten the doc or lower temperature and re-ask for grounded bullets only. Export Markdown when the exec summary is good enough for Slack or a design review. Prefer a $10 credit top-up if you summarize RFCs often; monthly plans make sense after the habit sticks.

Try it on Spacebunny

Open the playground, click “Long doc → summary”, replace the sample RFC with yours, watch the credit estimate, then send. Related: if you are debugging instead, use the paste stack trace AI workflow for TypeScript errors.