[Today's Pick] Worth Reading on 09/02

Today's three posts are quite practical: one clarifies the pitfalls of integrating with Feishu, one breaks down the evidence chain for AI resumes from an HR perspective, and one uses Shein's IPO as an entry point for user testing.

1. After connecting WorkBuddy to Feishu, don't rush to fully automate

The author describes the process of connecting WorkBuddy to Feishu very specifically, from App ID and App Secret to bot capabilities, bulk permission imports, and creating/publishing versions. He even notes that tutorials say it takes one minute, but he actually got stuck for twenty. His reminder not to rush into full automation is valuable, and details about local computers, Webhooks, and event callbacks are worth reading closely for anyone preparing to tinker.

2. Using WorkBuddy, I found that the more AI resume tools package things, the more HR needs to turn processes into evidence chains

This post speaks coldly from an HR perspective: AI packages "participation" as "leadership" and "viewed data" as "improved retention," making screening more expensive. The author uses WorkBuddy to build a "Content Operations - 2026 Q3" project, with three-tier permissions, Skill checks independently responsible for actions, data definitions, periodic resources, failure handling, and finally manual risk review. It's a good reference for those managing recruitment processes.

3. On the day Shein went public, I placed two orders

The author uses Shein's listing on the HKEX (stock code 00625) on September 1st as an entry point and actually tested the international app. The floral dress page included fabric info, model height, size charts, and buyer photos, while address, payment, and customer service entries revealed some friction. Later, he connects data points like LATR, initial batches of 100-200 units, restocking hot items within five days, 2025 inventory turnover of 36 days, and offering prices of HK$47.6-49.5, resembling a lightweight consulting note.