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Runway Mastery — Video Generation and AI Post-Production Module 3 · Lesson 10 of 15

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Module 3 · Files, tools and your own data Lesson 10 of 15

Automating clips and your own pipeline and your first script

Learning objective

Generation is offered through the studio and, on paid tiers, through an API for scripting; the useful automation is the pipeline around it — shot list, naming, assembly. You do not need this to finish the course, and you do not need it for a fresher job either — but an afternoon here is what turns "I have used Runway" into "I have built with it", which is a different sentence in an interview.

The concept

Generation is offered through the studio and, on paid tiers, through an API for scripting; the useful automation is the pipeline around it — shot list, naming, assembly. The idea is simple: the same model you have been chatting with also answers a web request, so you can put it inside a script, a spreadsheet or a page. A key identifies you; a request sends the text; a response comes back as data.

The reason to try it once, even if you never build anything: it makes the chat version less mysterious. You see that the whole conversation is text in and text out, that your instructions are literally lines of a request, and that "the model" is one parameter among several.

A first call looks like this:

Terminal
# The pipeline, and the parts no model does for you:
#
#  1. Write the shot list (subject / camera / light / duration).
#  2. Generate one reference still you are happy with. Keep it.
#  3. Generate each shot from that still, named shot-01.mp4 ...
#  4. Assemble in an editor: cut on movement, not on the beat of the music.
#  5. Add sound: room tone first, then a music bed, then narration last.
#
# Step 5 is why most generated video looks generated. Silent or
# music-only video reads as a demo; room tone makes it read as footage.
#
# ffmpeg, if you want the two-second version of "add room tone":
#   ffmpeg -i shots.mp4 -i room.wav -shortest -c:v copy out.mp4

Common mistakes

The mistake is generating at the lowest quality to save credits and then trying to fix it in the edit. Resolution is not recoverable; credits are.

Worked example

A script that renders each row of a shot list in one pass is a realistic automation, and it is how a five-shot sequence gets made in an evening instead of a week.

Your practice task

Get a key, run one request that works, and change one word in it to see the answer change. That is the whole of the first afternoon.

Do this before moving on. Reading a solution teaches the shape of it; typing it teaches you.

Key takeaway

Generation is offered through the studio and, on paid tiers, through an API for scripting; the useful automation is the pipeline around it — shot list, naming, assembly.

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15 lessons left of 15

Finish every lesson to unlock the certificate. Each one ends in a practice task — do them and the final project brief writes itself.