What you'll learn
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This course includes:
Course content
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0. Welcome07:38
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1. Setting up the audio09:10
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2. Setting up the Video09:20
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1. Selecting the Avatar look04:46
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2. Creating the Video17:10
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3. Resources01:00
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1. Automations Overview01:52
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2.1. The 10 Minute or less n8n Setup 105:25
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2.2. The 10 Minute or less n8n Setup 201:36
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2.3. The 10 Minute or less n8n Setup 304:50
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3. n8n Basic Workflows04:54
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4. Resources01:00
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0. Overview01:00
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1. The Workflow29:06
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2. BONUS01:00
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0. Overview01:00
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1. The Workflow14:06
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2. BONUS01:00
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tscourses01:00
Requirements
- Access to a computer with a stable internet connection.
- Basic familiarity with online video platforms such as YouTube, TikTok, Facebook, or Instagram.
- Willingness to use AI tools and web-based automation services.
- Comfort with following step-by-step technical instructions on screen.
- Interest in creating content or driving traffic and leads through video.
- Ability to sign up for recommended AI and automation tools used in the workflow.
- Basic understanding of how online marketing or audience building works is helpful but not mandatory.
Description
Unleashed The Clones is a structured training program that guides learners through building a fully automated AI-driven video cloning system from the ground up. The learning journey begins with a clear orientation to the overall cloning concept, explaining how AI-generated avatars and scripted workflows can take a single content idea and turn it into multiple videos ready for distribution across major platforms. Early in the program, learners are introduced to the core architecture of the cloning system so they understand what each component does and how it fits into the larger automation pipeline.
The first phase focuses on foundations and setup. Learners start by clarifying their goals for the cloning system, such as driving traffic, generating leads, or increasing brand presence. They then explore the types of content that work well with AI cloning and learn how to select topics that are easy to repurpose and repeat in different formats. This stage covers creating or preparing source material that will be used by AI tools, including text prompts, outlines, or reference videos. By the end of this phase, learners have a clear content plan and the initial resources that will feed their cloned video pipeline.
Next, the course moves into working with AI avatars and video generation tools. Learners are shown how to configure AI avatars that mimic their voice, style, and appearance, or represent a distinct persona if they prefer not to appear on camera. Detailed walkthroughs demonstrate how to connect prompts, scripts, and avatar settings so that the system can automatically produce coherent, engaging videos without the learner needing to manually record or edit footage. This segment emphasizes practical configuration steps so learners know exactly which settings to adjust for natural delivery, pacing, and visual consistency. By completing this phase, learners are able to generate their first set of cloned videos from their source content.
After learners can consistently produce AI-driven videos, the focus shifts to automation workflows. This part of the program explains how to link the video generation tools with distribution platforms through automation services or built-in integrations. Learners follow a step-by-step process to create workflows that take each newly generated video, apply basic metadata such as titles and descriptions, and then schedule or publish the content to platforms like YouTube Shorts, TikTok, Facebook Reels, and Instagram. The training emphasizes reliability and repeatability, showing how to structure automation so that it can run continuously with minimal manual intervention. By the end of this stage, learners have a functioning pipeline that moves videos from generation to publication automatically.
The course then addresses optimization and adaptation across platforms. Learners examine how different platforms handle short-form and vertical video, what types of hooks and descriptions perform best, and how to adjust their cloned content to respect each platform’s norms while still remaining efficient. Practical examples illustrate how one core video can be tailored with variations in titles, captions, or call-to-action elements without requiring full manual rewrites. Learners also learn to organize their content library so that future cloning cycles can reuse and recombine successful material in a structured way.
A dedicated segment covers traffic, positioning, and system strategy. Here, learners explore how to connect their automated video output to landing pages, email collection forms, or other destinations that align with their objectives. The program guides them through mapping the journey from a viewer encountering a cloned video to taking a desired action, such as visiting a site or requesting more information. Rather than focusing on one-size-fits-all tactics, the training helps learners design a simple pathway tailored to their niche and audience, giving them a practical framework they can refine as data accumulates.
The program also includes training on monitoring and performance tracking. Learners discover how to identify key metrics on each platform and how to interpret those metrics in the context of an automated cloning system. They learn methods for observing patterns, such as which video topics or structures perform best, and how to feed these insights back into their content planning and prompt design. This part emphasizes incremental adjustment rather than constant overhaul, helping learners develop a habit of making small, informed changes that steadily improve results.
In the later stages, the focus turns to scaling and maintaining the system over time. Learners examine ways to extend their cloning framework into additional niches, languages, or audience segments while keeping the core workflows manageable. The training outlines procedures for duplicating successful setups, documenting processes, and ensuring that new instances of the system follow proven configurations. It also highlights practical maintenance routines, such as checking integrations, updating tools when needed, and periodically reviewing automation rules to avoid errors or outdated settings.
Throughout the program, learners are encouraged to think of the cloning system as an evolving asset, not a static setup. By the time they reach the end of Unleashed The Clones, they will have moved from understanding the basic concept of AI cloning to operating a working, automated pipeline that generates and distributes video content on their behalf. They will be able to plan source material, configure AI avatars, construct automation workflows, adapt content to multiple platforms, interpret performance data, and extend their system into new areas. The overall transformation is from manually intensive content creation to a structured, technology-assisted process that can run largely on autopilot while remaining under their control.
Who this course is for:
Unleashed The Clones is ideal for digital marketers, content creators, and entrepreneurs who want to generate consistent video content without filming or editing manually and are ready to leverage AI tools for automation. It suits solo operators and small businesses that need ongoing visibility on platforms like YouTube Shorts, TikTok, Facebook Reels, and Instagram but lack the time or resources for traditional production. Unleashed The Clones also benefits those who already understand basic online marketing and want to turn a single content strategy into a scalable, automated system that runs with minimal day-to-day effort.Instructor
Derek Pierce
About Me
I work in the intersection of digital marketing, search, and automation, and over the years I have focused on building systems that turn online assets into consistent, measurable results. My background started with testing how search engines respond to different kinds of content and site structures, and that curiosity led me into a long period of experimentation with ranking strategies, funnels, and scalable frameworks. Along the way, I became increasingly interested in how technology could replace repetitive manual work, especially in areas like content creation and distribution.
I approach my work with a practical mindset. I pay close attention to data, look for repeatable patterns, and then try to design workflows that can be tested, refined, and run reliably. I value clarity and transparency, so I prefer methods that are straightforward to understand and can be documented in detail. Rather than chasing every new trend, I look for underlying principles that remain useful as tools and platforms evolve.
My experience includes working with a variety of niches and business models, which has taught me the importance of adaptability. I enjoy breaking complex processes into simple steps and building structures that allow those steps to be executed consistently by tools and automation. At the same time, I keep an eye on ethical and sustainable practices, aiming for approaches that respect platforms and users while still being effective. My work is driven by the idea that well-designed systems can free people from busywork and give them more space to focus on strategy, creativity, and long-term goals.
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