Thanks. Here is the loom demo video of the product:

https://www.loom.com/share/e0fb8f5e7b3b44acb84b5de27e16388f?...

Love to get your feedback.

No offense but do you have any better use cases?

Automating posting AI written linkedin posts is basically littering the internet with trash as a service.

Anything more is hard. So it will need real engineers and visionaries.

No offense taken—LinkedIn-post bots aren’t the point. Think UNIX pipes for business ops: small, single-skill agents you chain, swap, and reuse.

Here are some concrete examples:

- Financial KPI radar pull-stripe -> calc-kpis -> write-digest — 2-hour spreadsheet grind becomes a cron job.

- Support triage classify-ticket -> fetch-answer -> route-edge — weekend inbox time drops 4 h → 30 m.

- Bug-fix conveyor parse-logs -> rank-severity -> draft-patch — Great for tiny teams with no dedicated QA.

- Receipts → Books ocr-receipt -> map-account -> push-p&l — zero-touch bookkeeping until tax season.

I'm still tuning the granularity—“one verb per agent” feels right so far. Thoughts?

Here are couple of interesting facts from the article:

- Robin Li - Founder of Baidu, built the first link-based ranking algorithm, RankDex.

- Jeff Bezos is an early investor of google.

- Google’s PPC model was remarkably similar to Overture (owned by yahoo). Google settled the lawsuit by offering GOOG shares as compensation.