Lab

unslopf

Feed it markdown, URLs, or a sitemap. It profiles 2-to-4-word phrases, drops domain nouns and grammar glue, and returns a short list of phrases that already show up too often — a negative prompt so the next draft does not sound like the last ten.

One URL per line, up to 12. A sitemap is expanded to article pages. https only.

Negative keywords

The list will show up here.

Limits: 12 URLs, 80000 characters per document, 10 / 10 min per IP. Nothing is stored. Private hosts are rejected.

The honest part

This is frequency, not taste. A phrase that belongs in the subject will still rank if you did not put it on the keep list. Ban lists also go stale: after enough new words, regenerate. Pair the list with a structural instruction so the model does not swap "delve into" for "dive into".

API

POST JSON. Pass a sitemap, a list of page URLs, inline markdown, or a mix. The response is the scored list plus an injectable prompt.

curl -sS -X POST https://ninokroesen.com/lab/unslopf \
  -H 'Content-Type: application/json' \
  -d '{"sitemap":"https://ninokroesen.com/sitemap.xml"}'

Pages instead of a sitemap

curl -sS -X POST https://ninokroesen.com/lab/unslopf \
  -H 'Content-Type: application/json' \
  -d '{"urls":["https://example.com/post-one","https://example.com/post-two"]}'