DEMO / RECORDING
Overview & Result
Ackerman demonstrates a personal feed filter using Jev to evaluate relevance, value, format and unsupported claims. The author reports narrowing 1,000 posts to 20. The reported 97 ms per post and 1.2 cents for a morning are author claims, not measurements reproduced by this site.
How Jev fits in the loop
- The author’s filter evaluates each feed post.
- Jev answers the author’s questions about relevance, value, format and evidence behind claims.
- The filter keeps a smaller reading list based on those judgments.
How to reproduce
- Watch the original filter demonstration and read the four evaluation questions.
- The post does not link an implementation repository. Before building a similar filter, define what is relevant to your own reading goal and manually review excluded posts.
Why this build matters
Shows how explicit reading preferences can reduce the time spent scanning an unfiltered feed.
Limitations
- Reported counts, speed and cost have not been independently reproduced.
- The author’s preferences are not a universal definition of useful content; relevant posts may be excluded.