Introduction
Introduction
This guide offers an original production worksheet for answering that question before you spend another week making videos. It is an editorial planning method, not YouTube’s scoring system or a prediction of approval.
Separate four decisions
Originality: YouTube distinguishes repetitive or generic content from reused material lacking substantial added value. Permission to use a clip does not settle the reused-content question. Review applies across a channel, not only to one upload.
Disclosure: YouTube requires disclosure for meaningful, realistic AI alterations. Examples include making a person appear to say something they did not say or creating a realistic event that never happened. Ordinary script assistance and caption creation are listed as examples that do not require disclosure. YouTube says disclosure itself does not affect eligibility to earn money.
Ad suitability: A monetized channel can still have videos with limited or no ad earnings. The advertiser rules cover packaging, including thumbnails and titles, as well as the video.
Program eligibility: Meeting the audience thresholds does not automatically admit a channel to the YouTube Partner Program. Check the current requirements and your channel’s status in Studio’s Earn area.
Treat these as separate rows in your production notes. A checked disclosure box cannot answer whether your tutorial is useful, and a useful tutorial cannot establish your account’s eligibility.
Write the viewer’s decision before the script
Replace “make a video about AI tools” with a decision someone can make after watching: “Should a solo editor automate caption cleanup when client names need manual checking?”
Then write three things:
Input: What material does the viewer need to follow along?
Demonstration: What will you actually show, compare, or explain?
Decision: Under which conditions would you choose each option?
Give each episode a distinct purpose
If the demonstration field contains only “ask AI to explain it,” pause. Add an observation you can make yourself, a comparison you can document, or an original teaching example. You do not need a dramatic personal story. A carefully explained limitation can be the most useful part of a tutorial.
For recurring videos, keep the production checklist consistent while changing the problem being solved. A weekly series can reuse its layout; your planning job is to make each episode worth watching on its own.
Build an evidence packet while you work
Create a folder for the episode with a script, source notes, asset permissions, and any demonstration files you produced. Keep confidential client material out of it unless you have permission and an appropriate storage arrangement.
For each important claim, label it as one of three types:
An editorial claim log for one video
| Claim type | What to record | What to say in the video |
|---|---|---|
| Documented feature | Official page and date checked | “The documentation describes…” |
| Your observation | Actual setup, input, result, and limitations | “In this recording, with these settings…” |
| Proposed method | Your reasoning and what remains untested | “Here is a workflow you can try…” |
This packet is an editorial aid. It is not a YouTube submission requirement or a certificate of originality. Its immediate benefit is practical: when the script says “this saves hours,” you can ask whether any timing record supports that sentence.
Worked example: turn a generic roundup into a useful tutorial
Consider a hypothetical video titled “Five AI Tools That Will Make You Rich.” Its script lists features, uses stock footage, and gives no specific buyer, task, or evidence of earnings.
Here is a stronger brief: “A Caption Handoff Checklist for Freelance Video Editors.” The viewer needs to deliver readable captions without sending a client names or numbers that were transcribed incorrectly.
Prepare a short recording you own. Include a proper name, a number, and an ambiguous phrase. If you actually use a captioning tool, show the generated output and your corrections. If you have not run a tool, present a clearly labeled sample caption file and teach the review process without claiming a product test.
Structure the demonstration around three handoff decisions:
Which names and specialist terms require a client-approved spelling list?
Which captions change the meaning and need correction before delivery?
Which formatting choices belong in the project’s delivery checklist?
Write the handoff and plan the next episode
End with a reusable handoff note: “Checked names and numbers; unresolved wording at 00:42; client confirmation needed before final export.” The timestamp is a fictional example, not evidence of a completed test.
For a follow-up episode, address a different problem, such as collecting client corrections without creating conflicting file versions. Replacing tool names in the same script would provide much less editorial value.
This example does not predict a YouTube review outcome. It shows how to turn a vague promise into a specific piece of instruction that a viewer can use.
Make the business experiment small
If the tutorial reveals demand, your next experiment could be a caption quality-review service with a defined deliverable: a corrected file, an issue log, and one revision. That is a proposed offer to validate, not evidence that anyone will buy it.
Before setting a price, record the time required for preparation, editing, review, communication, and revisions. Write down what is excluded. A tool may reduce one step while client communication still takes most of the job.
Use a simple test: can a potential customer understand what they receive, when they receive it, and how they judge whether it is complete? If not, improve the offer before making more promotional videos.