I spent 4 months after my job trying to tell a story where the documents were classified, witnesses died before testimony, and the author who helped me said 'don't tell anyone yet, the news cycle isn't right'

I'm a video editor from India.I have a full time job.

I have a 1000 subscriber YouTube channel.And I just finished my first long-form documentary.

It took 4 months.

30 minutes to 2 hours every day.

After work. After dinner.

Sometimes at 2 AM.

This is the story of making it.

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THE STORY I WANTED TO TELL

January 11, 1966.

Tashkent, USSR.

India's Prime Minister Lal Bahadur Shastri died in a Soviet-controlled dacha, one day after signing a historic peace treaty with Pakistan.

No autopsy was ever performed. One PMO file exists.

Still classified after 58 years.

I became obsessed with this case two years ago.

Not because of conspiracy theories, but because of what the actual government documents showed.

THE STORYTELLING PROBLEM

How do you tell a story where:

→ The most important witness was hit by a bus before testifying and lost his memory

→ The investigation committee records vanished from Parliament's own library

→ The government's answer to "where are the records?" was "destroyed or lost"

→ You cannot definitively say what happened because no one can

Most documentaries on conspiracy

topics choose one of two paths:

Path A: "This definitely happened"

→ Satisfying but dishonest

Path B: "We just don't know"

→ Honest but unsatisfying

I wanted a third path:

Show every piece of evidence.Let the audience decide. Never claim more than the documents show.

THE MOMENT THE STORY FOUND ME

Eight months into research, I messaged Anuj Dhar.

He's an RTI activist who spent 20 years fighting the Indian government through Right to Information filings to force them to answer questions about this case.

He wrote the only book that goes deep inside it, "Your Prime Minister is Dead."

I didn't expect a reply.

He replied the same day.

He identified the witnesses in photographs from his book.He gave me permission to use

his research and photographs.

He said "Feel free to make use of it, but refer to it clearly please."

That message changed everything. Suddenly I had a primary source who was still alive. Who had touched the actual files. Who had fought in court for this.

THE LINE THAT STAYED WITH ME

While researching, I found this in an official government

court order —

Shastri's personal servant of 20 years, Ram Nath,

visited Shastri's widow before testifying.

He told her —"Bahut din ka bojh tha, amma. Aaj sab bata denge."

[The burden of many days, mother. Today I will tell everything.]

He was hit by a bus on his way to Parliament.

His legs were amputated. He lost his memory.

He never testified.

That line — in Hindi —

became the emotional center

of the entire documentary.

No actor said it. No recreation showed it.

Just the words. On a black screen.

In silence.

THE PERSONAL JOURNEY

Month 1: Research. Reading. RTI documents.

Parliament transcripts. Court orders.

Month 2: Script.

8 drafts. Hinglish — Hindi and English mixed —

because that's how Indians actually think about history.

Month 3: Production. No budget.

AI video generation for scenes where no archival footage exists. Real document scans for everything

that could be shown as real. Motion graphics for the

evidence reveals.

Month 4: Edit. Audio mixing at 2 AM. Trying to make a 17-minute film that doesn't feel 17 minutes long.

THE ADVICE THAT SURPRISED ME

When the documentary was done —

I sent it to Anuj Dhar for preview. He watched it.He shared it on Twitter. He said he'd share it

"again and again."

Then three days later, India's biggest protests

in years began.

He messaged me:

"For now don't post anything. Wait till there are no big news. Right now the entire focus

is on protests."

A man who had waited 20 years for this story to be told —

was telling me to wait three more weeks.

That patience, from someone who earned it, taught me more about storytelling timing than any book ever did.

WHAT I LEARNED ABOUT STORYTELLING

  1. The most powerful line in your story is usually the one you didn't write.

Ram Nath's words were in a government court order. I just found them. (Although Ram nath quote is just the mood of the story narration and not present in the documentary)

  1. Restraint is harder than drama.

Every instinct said, "claim more, be definitive." Every good story instinct said, "show the evidence, let silence do the rest."

  1. The right collaborator changes everything.

Anuj Dhar didn't make my documentary. But his 20 years of work made it possible.

  1. Timing is a storytelling decision.

Not just within the film, but when you release it. When the world is ready to hear something, it hears it differently.

  1. Constraints create voice.

No budget forced AI recreation.AI recreation forced a visual language nobody else in Indian YouTube was using. The constraint became the style.

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The documentary is live.

4 months of 2 AM sessions.

One man who waited 20 years told me when to release it.

Happy to share the link if anyone's interested in watching.

reddit.com
u/flashsachin31 — 18 hours ago

I made a 17-minute investigative documentary in 4 months working 30min-2hrs daily after my job,combining archives, motion graphics and AI filmmaking. Here's what I learned.

Background: I'm a video editor from India with a theater background. No production budget. Just a laptop, Adobe Premiere, After Effects, and stubbornness.

The project: A Hinglish investigative docu-drama on the mysterious death of Indian Prime Minister Lal Bahadur Shastri in 1966.

Timeline: 4 months

Daily time: 30 minutes to 2 hours

After: Full time job

━━━━━━━━━━━━━━━━━━━━━━━━━━

THE CORE CHALLENGE

No archival footage exists of the interior of the 1966 Soviet dacha where Shastri died.

I had three options:

  1. Talking head narration — boring

  2. Stock footage — inaccurate

  3. AI recreation — risky but possible

I chose option 3.

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THE VISUAL LANGUAGE — 3 LAYERS

LAYER 1: REAL ARCHIVES

Actual RTI documents, medical report scans, Parliament debate transcripts, RTI letters — shown on screen.

These aren't recreated.

They're the real Lok Sabha Library certified copy from 1970. The real MEA RTI reply from 2009.

Archives ARE the cinematography here.A real government stamp is more cinematic than any VFX.

LAYER 2: MOTION GRAPHICS

Chapter cards with Latina Hindi mythological titles.

Medical report comparison animations.

Witness identity dossier cards.

Signature reveal sequences.

All built in After Effects.

The "8 signatures vs 6 signatures"

reveal was a motion graphics problem, how do you show a document discrepancy cinematically?

Answer: Show both documents side by side.

Animate a red mark drawing itself

over the missing signature line.

Let silence do the rest.

LAYER 3: AI RECREATION

For scenes with zero archival footage, the dacha interior, the Soviet broadcast room, the KGB interrogation, I used AI video generation.

The technique I developed:

→ Storyboard entire scene first

→ Generate clip 1

→ Extract last frame

→ Use as anchor for clip 2

→ Repeat

This creates visual continuity

across 5-second AI clips —

making them appear as one

continuous shot.

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WHAT THEATER TAUGHT ME

ABOUT AI PROMPTING

My theater education changed how I wrote prompts.

Instead of describing feelings, I described what a camera sees.

Bad prompt:

"Tense scene in dark room"

Good prompt:

"Medium shot. Subject seated stage left. Single practical lamp source right. Deep shadows crossing face. Static camera. Cold color temperature. 1960s Soviet interior."

Blocking a scene on stage and blocking a scene in an AI prompt are surprisingly similar skills.

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THE AUDIO CHALLENGE

No budget for composers.

Used AI music generation (Envato)

For atmospheric drone tracks.

Real SFX from Freesound.

AI Russian voice for a dramatized Soviet broadcast.

Mixing challenge:

Getting Hinglish narration, English subtitles, Russian AI voice,and atmospheric music to coexist without stepping on each other.

Solution: Extreme auto-ducking. Music drops to -25dB the moment any voice begins.

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THE RESEARCH

Primary source:

RTI activist Anuj Dhar's book "Your Prime Minister is Dead" Used with author's direct permission.

Additional sources:

• Certified copy from Lok Sabha Library

• MEA RTI Reply (2009)

• CIC Order (2018)

• Rajya Sabha debate transcripts (1970)

• Ahmed Sattarov eyewitness account

(Komsomolskaya Pravda, 1998)

Anuj Dhar personally verified

and shared the documentary.

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WHAT I LEARNED

  1. Archives are underused in indie docs

    Real documents are more compelling

    than any recreation

  2. Theater training = AI prompting skill

    Spatial thinking transfers directly

  3. Silence is the most powerful tool

    The moments with no music,

    no narration — those hit hardest

  4. 30 minutes daily >

    waiting for perfect conditions

    Four months of small sessions

    beats waiting for a free weekend

  5. Your constraints define your style

    No budget = AI recreation

    Which led to a visual language

    nobody else in this space is using

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Happy to discuss any aspect of the process, archives workflow, AI prompting, motion graphics, audio mixing, or the research itself.

Full documentary in comments

for those curious about the result.

reddit.com
u/flashsachin31 — 1 day ago
▲ 98 r/Smallyoutubechannels+10 crossposts

How I created a 1-minute continuous AI video shot using 5-second clips — keyframe chaining technique for narrative documentary filmmaking

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:

━━━━━━━━━━━━━━━━━━━━━━━━━━

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.

━━━━━━━━━━━━━━━━━━━━━━━━━━

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.

━━━━━━━━━━━━━━━━━━━━━━━━━━

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"

━━━━━━━━━━━━━━━━━━━━━━━━━━

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

━━━━━━━━━━━━━━━━━━━━━━━━━━

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

━━━━━━━━━━━━━━━━━━━━━━━━━━

Happy to answer questions about

the specific prompting workflow,

tools used, or the documentary itself.

EDIT: Full documentary in comments

for those curious about the final result.

youtu.be
u/flashsachin31 — 17 hours ago
▲ 2 r/envato+2 crossposts

How I created a 1-minute continuous AI video shot using 5-second clips — keyframe chaining technique for narrative documentary filmmaking

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:

━━━━━━━━━━━━━━━━━━━━━━━━━━

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.

━━━━━━━━━━━━━━━━━━━━━━━━━━

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.

━━━━━━━━━━━━━━━━━━━━━━━━━━

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"

━━━━━━━━━━━━━━━━━━━━━━━━━━

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

━━━━━━━━━━━━━━━━━━━━━━━━━━

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

━━━━━━━━━━━━━━━━━━━━━━━━━━

Happy to answer questions about

the specific prompting workflow,

tools used, or the documentary itself.full video

u/flashsachin31 — 4 days ago