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The pipeline

Topic → Publish-Ready Long Video

The talking-head long-form pipeline: source-backed research, a structured script, a text-based edit, studio-clean audio and packaging that earns the click.

1–2 / week

Open in Studio

Total time

180 min

Total cost

$72 per run, estimated

The pipeline

  1. 1

    Source-backed research

    30 min

    Input: Topic + your top sources

    Output: One-page research brief with numbered sources

    Upload the 5–8 sources you will actually cite and generate a source-backed brief — grounding beats general knowledge for anything with numbers or claims in it. Every claim that survives to the script keeps its source number; anything without one is opinion, and gets labelled as such.

    Prompt
    From these sources, produce a one-page research brief: the 5 strongest claims (each with its source number), 2 tensions or disagreements between sources, and 3 concrete examples or numbers I can show on screen. Nothing from your own knowledge unless marked [UNVERIFIED].
    NotebookLM Price checked

    AI research & podcast notebook

    Alternatives:ClaudeChatGPT
  2. 2

    Script & outline

    40 min

    Input: Research brief

    Output: Numbered-section script with visual notes

    Structure before prose: the section order is the video. Each section gets a claim, a proof, and a forward pull. Mark visual notes [VISUAL: ...] inline so the edit step has a shot list, not a guess. Read the opening aloud — if you would skip it, rewrite it.

    Prompt
    Turn this research brief into a video script. Structure: cold open (10s, strongest claim), context (what the viewer should care about), 4–6 sections each with claim → proof → forward pull, and an end that points to the next logical video. Number every sourced claim with its source number. Mark [VISUAL] notes where a screen or prop should appear.
    Claude Price checked

    Advanced AI writing and analysis

    Alternatives:ChatGPTNotebookLM
  3. 3

    Record & text-edit

    60 min

    Input: Recorded takes + script

    Output: Cut video, transcript-edited

    Record against the script, not in one take. Edit the transcript: delete silences and stumbles like text, mild filler removal only (a heavy pass sounds like a chatbot). Keep the [VISUAL] moments in the cut — they are the edit plan.

    Descript Price checked

    Edit video by editing text

    Alternatives:CapCut
  4. 4

    Audio polish

    15 min

    Input: Cut video audio

    Output: Studio-clean voice track

    Studio Sound (or equivalent) on the voice track; if one mispronounced word survived the edit, overdub just that line in your cloned voice instead of re-recording the segment. Music low and consistent under the voice, never under the key claims.

    Adobe Podcast Price checked

    AI audio enhancement

  5. 5

    Thumbnail & packaging

    20 min

    Input: Final cut + title options

    Output: Thumbnail + title + chapters

    Three thumbnail concepts tested at 120px wide. Chapters on (they change skip behaviour on long videos) and end screens that point to the next logical video. The title is a promise the first 30 seconds must keep.

    Canva Listed

    Design anything with AI

  6. 6

    SEO & publish

    15 min

    Input: Video + packaging

    Output: Published video with researched metadata

    Research the search intent before writing the description. First 120 characters of the description are the visible ones — front-load the promise. Pin the comment with the one thing you want viewers to do next.

    TubeBuddy Price checked

    YouTube growth and optimization

    Alternatives:vidIQViewStats

Keep in mind

  • The research step is the moat: a video where every number has a source survives fact-check comments; a video where they do not, does not.
  • Text-editing a 25-minute video is faster and better than timeline editing — but only if the transcript is fixed first (names, jargon, acronyms).
  • 1080p is the standard for talking-head; save 4K for client work. Upload tax is real.
Open in Studio

Total time

180 min

Total cost

$72 per run, estimated

The pipeline

  1. 1

    Source-backed research

    30 min

    Input: Topic + your top sources

    Output: One-page research brief with numbered sources

    Upload the 5–8 sources you will actually cite and generate a source-backed brief — grounding beats general knowledge for anything with numbers or claims in it. Every claim that survives to the script keeps its source number; anything without one is opinion, and gets labelled as such.

    Prompt
    From these sources, produce a one-page research brief: the 5 strongest claims (each with its source number), 2 tensions or disagreements between sources, and 3 concrete examples or numbers I can show on screen. Nothing from your own knowledge unless marked [UNVERIFIED].
    NotebookLM Price checked

    AI research & podcast notebook

    Alternatives:ClaudeChatGPT
  2. 2

    Script & outline

    40 min

    Input: Research brief

    Output: Numbered-section script with visual notes

    Structure before prose: the section order is the video. Each section gets a claim, a proof, and a forward pull. Mark visual notes [VISUAL: ...] inline so the edit step has a shot list, not a guess. Read the opening aloud — if you would skip it, rewrite it.

    Prompt
    Turn this research brief into a video script. Structure: cold open (10s, strongest claim), context (what the viewer should care about), 4–6 sections each with claim → proof → forward pull, and an end that points to the next logical video. Number every sourced claim with its source number. Mark [VISUAL] notes where a screen or prop should appear.
    Claude Price checked

    Advanced AI writing and analysis

    Alternatives:ChatGPTNotebookLM
  3. 3

    Record & text-edit

    60 min

    Input: Recorded takes + script

    Output: Cut video, transcript-edited

    Record against the script, not in one take. Edit the transcript: delete silences and stumbles like text, mild filler removal only (a heavy pass sounds like a chatbot). Keep the [VISUAL] moments in the cut — they are the edit plan.

    Descript Price checked

    Edit video by editing text

    Alternatives:CapCut
  4. 4

    Audio polish

    15 min

    Input: Cut video audio

    Output: Studio-clean voice track

    Studio Sound (or equivalent) on the voice track; if one mispronounced word survived the edit, overdub just that line in your cloned voice instead of re-recording the segment. Music low and consistent under the voice, never under the key claims.

    Adobe Podcast Price checked

    AI audio enhancement

  5. 5

    Thumbnail & packaging

    20 min

    Input: Final cut + title options

    Output: Thumbnail + title + chapters

    Three thumbnail concepts tested at 120px wide. Chapters on (they change skip behaviour on long videos) and end screens that point to the next logical video. The title is a promise the first 30 seconds must keep.

    Canva Listed

    Design anything with AI

  6. 6

    SEO & publish

    15 min

    Input: Video + packaging

    Output: Published video with researched metadata

    Research the search intent before writing the description. First 120 characters of the description are the visible ones — front-load the promise. Pin the comment with the one thing you want viewers to do next.

    TubeBuddy Price checked

    YouTube growth and optimization

    Alternatives:vidIQViewStats

Workflow builder

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Topic → Publish-Ready Long Video — Workflow builder | Noxifera