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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.
by kingkongjaffa 1y ago
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.
- babyent 1y agoAnything more is hard. So it will need real engineers and visionaries.
- nraychaudhuri 1y agoNo 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?