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I just finished my first long-form
Unfiction documentary — a 17-minute
Hinglish investigative film on
Lal Bahadur Shastri's death.
One of the biggest technical challenges
was creating continuous narrative AI
video sequences — because most AI
video tools generate 5-second clips
with no visual continuity between them.
Here's the workflow I developed:
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THE PROBLEM
Standard AI video generation gives
you 5-second clips. When you cut
these together — characters change,
environments shift, lighting is
inconsistent. It looks like a
slideshow, not a film.
For my documentary — I needed to
recreate a 1966 Soviet dacha scene
with continuous camera movement
lasting over a minute. 5-second
random clips weren't going to work.
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THE SOLUTION — KEYFRAME CHAINING
Step 1: Storyboard the entire sequence
I storyboarded the full scene —
every shot, every camera movement,
every subject position — before
generating a single frame.
Step 2: Generate Clip 1
Prompt the first 5-second clip
with full scene description —
lighting, subject position,
camera angle, environment details.
Step 3: Extract the last frame
Take the exact last frame of
Clip 1 as an image.
Step 4: Use last frame as
input for Clip 2
Feed that extracted frame as
the visual anchor/starting point
for the next clip generation.
This ensures:
→ Subject position continuity
→ Lighting consistency
→ Environment match
→ Seamless visual flow
Step 5: Repeat
Last frame of Clip 2 →
Input for Clip 3 →
And so on.
Result: What appears to be a
1-minute continuous shot —
built from twelve 5-second clips
chained together.
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ADDITIONAL TECHNIQUES
For camera movement continuity:
Keep camera direction consistent
in every prompt ("slow push in",
"static wide", "slight pan right")
For subject consistency:
Describe subject in identical
language every prompt —
exact same clothing, position,
lighting description
For atmosphere:
Use identical lighting descriptors —
"single lamp, cold blue moonlight,
1960s Soviet interior, dark shadows"
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THE CONTEXT — WHY I NEEDED THIS
The scene I was recreating:
A 1966 Soviet dacha in Tashkent —
the night India's Prime Minister
Lal Bahadur Shastri died.
No archival footage exists of
the interior of that dacha.
AI generation was the only option
to visually recreate that night.
Combined with:
→ Real archival photographs
→ Actual government documents on screen
→ Animated motion graphics
→ AI-generated Russian voice acting
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LIMITATIONS I ENCOUNTERED
→ Subtle character drift across
longer chains (12+ clips)
→ Hand artifacts still common
→ Period-accurate props
need very specific prompting
→ Some clips needed 8-10
regenerations to match
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Happy to answer questions about
the specific prompting workflow,
tools used, or the documentary itself.full video
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