When Vaibhav Sisinty posted his video titled “This One AI Workflow Gets Me 100 Million Views a Month, and Nobody Is Copying It Yet”, the internet stopped scrolling. What made the buzz even louder? The workflow is FREE and, despite the insane numbers, very few creators have duplicated it. In this deep‑dive guide we unpack every component of the workflow, explain why it works at scale, and give you actionable steps to implement it today.
Why This AI Workflow Is a Game‑Changer
Most AI tutorials promise “more views” but deliver vague concepts. Vaibhav’s system delivers a predictable pipeline that turns raw ideas into viral‑ready videos without spending a dime on ads or hiring editors. The core principles are:
- Data‑driven topic selection – leveraging YouTube search trends and AI‑generated gap analysis.
- AI‑first script creation – using large‑language models to write scripts that hit the exact emotional triggers viewers love.
- Automated video assembly – combining text‑to‑speech, royalty‑free footage, and AI‑generated thumbnails.
- Rapid iteration – a feedback loop that uses YouTube Analytics to refine each subsequent video.
Step 1: Discover the Golden Nail with FREE Keyword Mining
Vaibhav starts with a FREE keyword‑research tool – Google Trends – combined with a quick prompt to ChatGPT:
Give me 20 low‑competition, high‑search‑volume long‑tail topics in the “digital marketing” niche that have < 0.5 % keyword difficulty.
The AI returns a list that’s already filtered for intent. The next move is to drop each title into VidIQ’s free browser extension to confirm search volume and competition. The result is a shortlist of 3–5 hyper‑specific video ideas that are practically begging for attention.
Step 2: Script Writing Using a FREE Prompt Library
With the topic locked, Vaibhav copies a FREE prompt that he’s published on his GitHub repo (link in the video description). The prompt tells the AI to:
- Write a 7‑minute script (≈ 1,200 words).
- Start with a hook that references a specific statistic.
- Structure the body into three concise points.
- End with a clear call‑to‑action.
Paste the prompt into ChatGPT or any LLM with a free tier. Within seconds you have a complete, ready‑to‑record script. Because the prompt forces the AI to follow a proven structure, the resulting copy consistently meets YouTube’s “retention” algorithm.
Step 3: Voice‑Over Without Paying a Professional
Instead of hiring a narrator, Vaibhav uses FREE text‑to‑speech (TTS) services such as TTSMP3 or the built‑in voice in OpenAI’s API. The steps are simple:
- Copy the script into the TTS interface.
- Select the “Narrator” voice (most services have a natural‑sounding male and female voice).
- Export the audio as an MP3.
The result is a crystal‑clear voice‑over that costs $0 and can be edited in free software like Audacity to remove pauses.
Step 4: Assemble the Visuals With FREE Stock Footage
Vaibhav’s workflow stitches together royalty‑free clips from Pexels and Pixabay. He uses a free video editor – Shotcut – and follows a template that aligns each visual cue with a script line. The key is to keep cuts every 2‑3 seconds, matching YouTube’s recommendation for high engagement.
Step 5: AI‑Generated Thumbnails in Minutes
Thumbnails are the single biggest factor for click‑through rate (CTR). Vaibhav leverages FREE AI graphic tools like Canva’s AI Image Generator. The process:
- Prompt: “Create a high‑contrast, 1280×720 image that shows a person looking shocked at a computer screen with the text ‘100M VIEWS!’ in bold yellow.”
- Download the PNG in seconds.
- Overlay the title using Canva’s free text tools.
The thumbnail is ready for upload without any design experience.
Step 6: Publish, Optimize, and Scale – The FREE Feedback Loop
After publishing, Vaibhav monitors three core metrics for the first 48 hours:
- Click‑through rate (CTR)
- Average view duration (AVD)
- Subscriber conversion rate
He uses YouTube’s free Analytics dashboard and notes any under‑performing sections. The next video’s script is tweaked based on those insights, creating a self‑improving cycle that fuels exponential growth.
Why No One Has Copied It Yet
There are three hidden reasons:
- Documentation latency – The workflow was only shared in a short video, and most creators miss the granular steps.
- Tool agnosticism – Vaibhav deliberately uses free, cross‑platform tools, which makes the system feel “too simple” for established agencies.
- Algorithmic timing – The workflow aligns perfectly with YouTube’s current emphasis on “short‑form, high‑retention” content, a sweet spot that many creators haven’t yet mastered.
By following this guide, you can become the first to replicate the system in your niche and capture untapped audience demand.
Full Embedded Video for Quick Reference
Key Takeaways – Your Action Checklist
- Use Google Trends + a free LLM prompt to find low‑competition topics.
- Generate a full script with a pre‑written FREE prompt.
- Create voice‑overs with free TTS services.
- Source royalty‑free clips from Pexels or Pixabay and edit with Shotcut.
- Design a click‑bait thumbnail in minutes with Canva’s FREE AI image generator.
- Track CTR, AVD, and subscriber conversion in YouTube Analytics to refine each iteration.
Conclusion: Your FREE Ticket to Millions of Views
The FREE Resource: This One AI Workflow Gets Me 100 Million Views a Month, and Nobody Is Copying It Yet by Vaibhav Sisinty - Videos is not just a gimmick; it’s a repeatable system that anyone can execute with zero budget. The secret lies in combining data‑driven research, AI‑generated copy, and free media assets into a rapid production loop. Start with the first step today, and you’ll see the algorithm respond faster than you ever imagined.
Ready to dominate your niche? Grab the FREE prompt library from the video description, fire up your favorite LLM, and watch the views roll in. The AI wave is already here—be the one who rides it.