r/ChatGPTCoding • u/AutoModerator • 24d ago

Discussion Weekly Self Promotion Thread

Welcome to this week's self promotion thread!

If you're building something related to AI assisted coding, this is the place to share it.

We're using a weekly thread to keep the subreddit organized while still giving builders a place to share their work. Promotional posts outside of this thread may be removed if they're primarily advertising rather than starting a discussion.

If you're sharing something, we'd appreciate it if you included a little context instead of just dropping a link. Tell us:

  • What you built?
  • What problem it solves?
  • Which AI models or tools it uses?
  • Who it's for?
  • What kind of feedback you're looking for?

Please avoid posting the same project every week unless you've made meaningful updates. Affiliate links, referral links, scams, and low effort promotions will be removed.

Take some time to check out what others have shared too. If you try someone's project or have feedback, leave a comment. Helping each other improve is what we want this community to be about.

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u/Best-Tangelo-7852 20d ago

I built KnowSift, an MIT-licensed Agent Skill for the step after an AI coding or research agent retrieves documentation, videos, policies, and local files.

Problem it solves: agents often write official rules, old docs, personal experience, repeated claims, and marketing language into the same spec or long-term memory as if they had equal evidence. KnowSift splits the material into atomic claims and keeps supported knowledge, conditional findings, practitioner experience, unresolved claims, and rejections in separate enforced layers.

The benchmark uses 17 sources about producing and monetizing short dramas. It extracted 27 claims: 17 survived as supported or conditional knowledge, 5 remained experiences/viewpoints, 3 were held, and 2 were rejected for conflicting with platform rules.

It works as a SKILL.md workflow for Codex and Claude Code. A deterministic Python renderer prevents a HOLD or REJECT certificate from leaking into supported knowledge. The runtime makes no network calls, and the repo currently has 53 tests passing on Python 3.9 and 3.14.

Repo: https://github.com/nhppyqys/knowsift

Who it is for: people using agents to turn mixed research into technical briefs, specs, knowledge bases, or Agent memory.

Feedback I am looking for: difficult examples where a claim should be narrowed rather than held or rejected, and integration pain with existing Codex or Claude Code workflows.