A buffer-based workflow with Typefully and Claude Code for sharing AI work without burnout
brandon_galang · x · 2026-11-02
The author tackles a common problem for people moving into applied AI: you know you should share your work publicly so hiring managers can find evidence of what you've built, but posting tends to become a project of its own.
The proposed workflow:
- Buffer model: keep a queue in Typefully so publishing runs on a steady rhythm instead of daily crunch
- Write in bursts: batch content creation, leaving room to reshuffle
- Rewrite notes in your own voice: use Claude Code, Codex, or Cursor to help turn raw notes into posts, keeping the core point and dropping what lost the thread
- Select what's worth sharing: mine your work for "what I tried, what broke, what changed," then loop back to the actual work
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