The AI Production Pipeline
Every sibling course in this subject centers on one AI tool doing one job — a text model, an image generator. This course genuinely needs several different AI tools chained together, each with its own quality-check step.
The Five-Stage Pipeline
Generate the script
Outline first, then draft section by section — the same discipline established across this subject — with real attention to spoken pacing (words per minute), not just written length.
Human review of the script
Fact-check anything factual (critical for the educational/facts genre from Chapter 3), remove filler phrases, and read it aloud yourself — text that reads fine on a page can sound genuinely awkward once spoken.
Generate the narration with AI voice synthesis
Choose a voice that fits the niche, then check the output carefully — AI text-to-speech tools can mispronounce unusual words or names, and catching that before publishing matters.
Source or generate visuals
Match visuals to the script's own pacing and content — Chapter 5 covers the real choice between AI-generated and licensed stock visuals in depth.
Assemble and edit
Sync visuals to narration timing, add captions (genuinely important both for accessibility and for muted-autoplay viewing), and add background music — with real licensing considerations covered in Chapter 6.
Before Publishing
- Does the narration sound natural when heard aloud, not just when read on the page?
- Have I caught any TTS mispronunciations, especially of names or unusual terms?
- Do the visuals stay in sync with the narration's own pacing throughout?
- Are the captions accurate, not just auto-generated and left unchecked?