Original Summary

With AI compressing the time scales at work and in life, feelings of overwhelm, stress and anxiety are not the exception anymore. Yet what bothers me is this: we talk about AI at every party and dinner table, but most of us don't discuss the human side of it. We don't ask "hey, how are you keeping up with all this AI noise?" even though the question is sitting at the top of our minds. So I'm building a faceless YT channel to discuss these topics as essays. I try to talk to the mid-career professional who's doing fine on paper but quietly wondering whether they're falling behind, whether their skills will still matter in five years, and why saving time with all these tools somehow leaves them feeling busier. No tool reviews, no hype. One question per video, sometimes with help from older wisdom like Buddhist teachings, because people were wrestling with "not enough" long before AI. How it's made, for anyone thinking of starting a faceless channel If you open a chatbot and type "give me 5 ideas for a faceless channel," you'll get the same five ideas everyone else gets. The model knows nothing about your viewer, your voice, or what you've already tried. What makes my pipeline work is what the AI reads before it proposes anything. The whole channel lives in one project folder that acts as the AI's long-term memory: Positioning doc: who the viewer is, what the channel promises, what it refuses to be Editorial standards: how claims get sourced, what I won't fake (quotes, biography, credentials) Creator context: my background and views, so the angle is mine even though my face and voice aren't in it Decisions log: every durable choice with the reason behind it, so nothing gets relitigated each episode Production lessons: what went wrong in past episodes and the fix, read before every new one Title and thumbnail playbook: a checklist every episode has to pass before upload An instructions file that tells the AI which of these to read for which task, plus a status file tracking where each episode stands On top of that sits the six-stage workflow, with a hard stop for my approval at each one: AI proposes five ideas grounded in the positioning and past ideas. I pick one We agree on the single message and the outline A short multiple-choice interview pulls out my own angle, which becomes the narrative arc Full script, written to sound spoken I proofread every line Production, then I watch the full cut before upload So "give me 5 ideas" does work, but only because the prompt is the smallest part of the system. The context is the product. It took me several episodes of writing down decisions and mistakes to get here, and that accumulated file of lessons is the real asset, more than any tool in the stack. Stack: Claude as orchestrator, ElevenLabs for narration (its word timestamps drive scene timing and captions), OpenAI's image API for about 75 illustrations per 18-minute e

  • 情报分类：工作与职业机会
  • 分类依据：内容涉及招聘、求职或职业发展
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/21 01:07:56