How to make YouTube videos with AI: an 8-step workflow

Making a YouTube video with AI isn't one magic button; it's a chain of small steps that connect: choosing the topic, writing the script, fact-checking, preparing voice and visuals, editing and uploading. AI speeds up each step, but the quality is set by the decisions and control between the steps. This article gives the eight-step workflow, the traps in each step and a checklist for before you publish.

Step 1: Define your channel's topic and audience

Before tools, answer two questions: Who am I making this for, and what does the viewer gain from the channel? "Facts" isn't enough; a sharp promise such as "history stories you understand in a minute" or "AI tips for small businesses" makes life easier for both viewers and the algorithm.

Step 2: Choose the topic with data

A good topic has proven demand and can be told with your angle. YouTube search suggestions, Google Trends, Wikipedia's trending pages and community forums (such as Reddit) give demand signals. If very good videos already exist on a topic, find a new angle or a different format. See how to find video topics for methods.

Step 3: Have the script written, but tie it to a source

Telling a language model "write a video script about X" is fast, but models can produce wrong information as fluently as right information. So add a reliable source text to the prompt (for example the relevant Wikipedia section) and ask the model to rely only on it. A good short-video script has this shape:

• Opening (1–2 seconds): one sentence that sparks curiosity; no "hi everyone".
• Body: one idea, 3–4 short sentences, a concrete number and example.
• Closing: a sentence that closes the curiosity gap or loops back to the start.

Speaking speed in short videos is roughly 130–150 words per minute; for a 40-second video a 90–110-word script is enough.

Step 4: Fact-check separately

Separating the stage that writes the script from the stage that checks it is the cheapest quality insurance. In a second pass compare dates, names, numbers and claims with the source; fix what doesn't hold or reject the script. Channels that skip this step accept that a single wrong fact will reach hundreds of viewers. See fact-checking AI scripts for the method.

Step 5: Choose the voice

When choosing AI narration (TTS) look at three things: natural intonation, language and accent fit and commercial-use terms. Using one voice across all videos builds channel identity, but a viewer who hears the same tempo and emphasis in every video may get bored, so vary speed and emphasis over time. Some voice services don't allow commercial use on the free tier; read the terms before you upload.

Step 6: Get visuals from licensed sources

Visuals are among the elements that most affect watch time. Real photos and footage related to the topic are more convincing than generic filler. Whatever the source, check the right to use it: we summarized which sites allow what in our guide to free image, video and music sources.

Step 7: Edit, captions and music

• Captions: A large share of viewers watch with the sound off. Use large, high-contrast captions with short lines.
• Tempo: Visual changes (cuts, zooms) in sync with the speech rhythm keep attention alive.
• Music: Keep it under the narration and choose only tracks you have the right to use.
• Format: 9:16 vertical (1080×1920) for Shorts, 16:9 horizontal for long videos. For technical details see our Shorts guide.

Step 8: Upload, measure, learn

When the video is ready, upload it with a title, description and thumbnail (see the YouTube SEO guide, Turkish). Plan the upload times for a regular rhythm. After publishing, look at early-second drop-off, average view duration and differences by topic, and multiply the winner.

Checklist before you publish

• [ ] Is the topic's demand proven and my angle original?
• [ ] Was every number, date and name verified against a source?
• [ ] If there is realistic synthetic imagery/audio, was it labeled at upload? (policy summary)
• [ ] Are the licenses for visuals, sound and music documented?
• [ ] Are captions legible and the audio balanced?
• [ ] Do the title and thumbnail reflect the video's promise without exaggeration?
• [ ] Is this a video that stands on its own, not a copy of the same template?

Separate tools or an all-in-one app?

You can run these eight steps with separate tools (a language model, a voice service, a stock site, a video editor); flexibility is highest, but so is the manual work and file shuffling for every video. All-in-one apps combine the steps in one flow at the cost of less adjustability.

Mecra is a desktop app that runs this flow end to end on your Windows computer: it scores topics from four sources (YouTube, Google Trends, Wikipedia, Reddit), grounds the script in Wikipedia and passes it through a separate fact-check, adds visuals, voice, captions and music and uploads the video to your channel. For the steps of your first video see your first video with Mecra. Remember that no tool guarantees views or income; quality and topic choice are always your decision.

Sources

• YouTube channel monetization policies (YouTube Help)
• Disclosing altered or synthetic content (YouTube Help)
• 3-minute YouTube Shorts (YouTube Help)