← back to the archiveCover illustration for “Put an audience decision between the YouTube prompts”
LINKday 104·2d ago·by Andy Padia

Put an audience decision between the YouTube prompts

A prompt sequence can carry an unsupported audience assumption from strategy to script. Require evidence of the viewer's problem before expanding production.

godofprompt on Instagramhttps://www.instagram.com/p/DdFb3TTHAM3/

TL;DR: A channel prompt pack is a useful production outline. Put a real audience decision between the steps, or the entire sequence can elaborate an unsupported premise.

godofprompt's carousel groups seven prompt categories, from channel direction and niche research through scripts, production, monetisation and analytics. The prompts ask an assistant to produce increasingly detailed plans. That is helpful for remembering the work involved; it does not establish that the proposed audience wants the result.

For an engineer sharing practical knowledge, the risky moment comes before the script. A model can describe a target viewer convincingly and then generate a hundred topics for that invented viewer. Every later step may remain internally consistent with the same weak assumption.

I would make the first approval about the problem, not the prose. My proposed example is a channel for developers struggling to understand agent failures. Before expanding the topic list, I would collect a few public questions, examine what the existing answers miss and choose one failure I can demonstrate accurately.

The resulting brief would name the viewer's task, the misunderstanding to resolve and the evidence the video must show. A hook would earn its place by setting up that explanation. If the demonstration cannot support the hook, I would change the hook before adding more production.

Analytics should then return to the original premise. A viewer leaving early could reflect poor pacing, an unclear promise or the wrong audience. A plausible explanation from another prompt is still only an explanation until it connects to observed behaviour or specific feedback.

That is my addition to the pack: each transition should leave behind a decision and the evidence that allowed it. The assistant can propose options, but detail should not silently become approval.

I read the prompts rather than testing them on a channel. The carousel supplies no controlled evidence for its acceleration or virality claims. The workflow above is an editorial proposal, not a forecast of reach or income.

Approve the audience problem before asking the next prompt to multiply the content.

#weekly-shares#read#content-creation#ai-workflows
← older drop
The best move changes when the opponent model changes
newer drop →
Test the dub, not the language catalogue

related drops

explore all 329 drops →
← back to the archiveday 106