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Every episode of this series
was researched, written, drawn,

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set to music, checked and rendered by
AI agents, working from the command line.

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And at each turn that mattered,
a person made the call.

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AI for Research Efficiency.
Episode 13: How this series is made.

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So far, this series has shown
agents at work on research.

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This time,
the work is the series itself.

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In this episode: one production,
from the brief to the render,

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with real figures from its own records,
and the decisions a person kept.

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One: the brief.

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It began with a few lines from the owner:
a series on AI for research efficiency,

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90 to 180 seconds a video, from
getting started to real examples.

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The agents turned that into a brief
for each film: the subject,

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the audience, the purpose, the
length, and where it will be seen.

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Then the research found
that too short for the content,

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and the owner agreed:
quality over arbitrary limits.

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Two: research,
with every fact sourced.

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Every figure and quote, on screen
or spoken, goes into a facts file,

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with its source
and the day it was read.

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A check compares the script
and the screen with that file,

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and flags anything it can't find.

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The sixteen films carry 456 facts.

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Three: three looks, one choice.

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The agents drew three
looks as style frames:

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Plain Text, Signal Blue, and
Lab Notebook. The owner chose Plain Text.

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Then a novelty check compares each new
film with the studio's earlier ones,

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so no two look alike.
A series may share its own style.

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Four: a script, on a beat.

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Each line is written for the ear,

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then placed on a grid of
bars at 100 beats a minute,

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so the words, the picture
and the music land together.

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A free local voice reads a first
draft, just for the timing.

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Five: a voice, chosen by ear.

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For the first film,
the agents cast 18 voices,

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and read the whole script
with 12 of them.

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The owner listened,
and chose option 9: Eric.

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That's the voice you're hearing now,
in every episode.

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Six: pictures and music,
written as code.

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Each scene is a small program: give it a
moment in time, and it draws that frame.

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A browser renders 60 frames
for every second of film.

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The music is code too,
on the same beat,

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and every key click lands on the
frame where a key is pressed.

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Seven: 10 checks.

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The brand, the facts, the rights
to every image and sound, the mix,

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the frames, and more. Each must pass,
or warn with a stated reason.

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The mix check, for one,

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wants every spoken line at least
19 decibels above the music.

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Eight: the review, and the fixes.

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Each film is then reviewed on its stills,
against 20 rules from the research.

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Across the sixteen films,
the reviews drew more than 200 notes,

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and most are already fixed.

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The owner adds notes too.

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Film three now says its
review ran unattended,

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because the owner asked for it.

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Nine: render, and deliver.

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Drawing episode 4's frames, more than
19,000 of them, took under 3 minutes.

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Then come the captions, the chapters,

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a companion page,
and an upload kit for YouTube.

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Nothing is published until the
owner decides where, and when.

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So, what does the person decide?

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The subject and the audience.
The look. The voice, by ear.

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What each film stresses, what may
be shown, and when it goes out.

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And on 4 October, one more: make
the rest of the series side by side.

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Nine agents worked at the same time,
one episode each,

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and this episode is one of the nine.

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By the numbers,
with all sixteen films finished,

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this one included: 80 minutes,
and 548 narrated lines.

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Film 3's review alone took 18
agents 17 and a half minutes.

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And the first six films went

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from the first commit
to rendered in under 4 hours.

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Pause here, and try it.

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Write a brief for your own project:
subject, audience, goal and length.

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Ask your agent to research it,

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every fact sourced,
and keep the decisions for yourself.

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So: agents do the work, checks catch
the slips, and a person makes the calls.

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That's the series.
Next: your own project.