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I Trained Claude to Edit Like Iman Gadzhi! (Complete Guide) — Transcript

by Joseph | Video Editing · 4,583 words · 677 segments · language en · Watch on YouTube

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0:00AI can now create stunning Iman Gadzhi
0:02videos just like this one.
0:07That entire edit was created only using
0:09AI. No After Effects, no animating frame
0:11by frame, and no editing software
0:13needed. And in this video, I'm going to
0:15give you the complete breakdown of how
0:17you can create Iman Gadzhi videos using
0:19AI from scratch. And if you've never
0:21edited anything with AI, or you're new
0:22to video editing, [music] don't worry.
0:24This is a complete A-to-Z walk-through
0:26of everything you need to know. First,
0:28we're going to break down the Iman
0:29Gadzhi editing style down to each
0:31principle [music] in it: the planning,
0:32the design, and the animations. Then,
0:34I'll walk you through how we trained
0:36Claude to think like an Iman Gadzhi
0:38professional editor. And finally, I'm
0:39going to show you how we created the
0:41designs and animations [music] for each
0:43scene in this Iman Gadzhi video. All of
0:44this so that by the end of this video,
0:46you'll be able to take your client's
0:48footage, or your own video, and turn it
0:50into an Iman Gadzhi premium video only
0:52using AI. So, without further ado, let's
0:55dive right in.
0:58But first, before we start creating
0:59amazing Iman Gadzhi designs and stunning
1:01animations, let me take the next few
1:03minutes to break down the three
1:04principles that make up the Iman Gadzhi
1:06editing style. Starting with principle
1:08number one, planning. When it comes to
1:09planning what to show in the video,
1:11Iman's team go above and beyond. And to
1:13reverse engineer exactly how, we studied
1:1510 Iman Gadzhi videos, five of his best
1:18performing ones, and five of his latest
1:20ones. We extracted every transcript,
1:22screenshotted every animation, and
1:24aligned each one to exactly what was
1:25being said and when it appeared. And
1:27after doing this, you start to see a
1:28pattern. And this pattern is the secret
1:30behind why Iman's videos are so good to
1:32watch. The intro and the body are
1:34planned completely differently. The
1:36intro has two to five times the
1:37animations, on average four to 10
1:39visuals every minute, while the body
1:41sits around two animations per minute.
1:43And these animations are never placed
1:45randomly. In the intro, there are five
1:46types of statements that always get
1:48animated: claims and concepts, numbers,
1:50chapter transitions, promises and open
1:52loops, and autobiographical proof. In
1:54the body, it just comes down to four:
1:56New information, numbers right after
1:58long dry explanations to restimulate the
2:00viewer, and proof. And one constant that
2:02never changes is every time a chapter is
2:05mentioned, the same chapter animation
2:06gets reused to help the viewer
2:08transition through the storyline. Now,
2:10later in the video, you're going to see
2:11exactly how we taught Claude this entire
2:13planning psychology and used it to
2:15create the full plan for our Iman Gadzhi
2:17edit. So, make sure to stick around till
2:18then. But, knowing where to place
2:20animations is half the battle. The real
2:21question is, how do we come up with the
2:23design for each scene? When it comes to
2:24designing scenes for the Iman Gadzhi
2:26video, first we have to understand the
2:28most important principle, which is
2:29color. Iman chooses the accent color for
2:31the video based on his recording.
2:33Whatever accent color is in the
2:34recording, that's the color theme for
2:36the animations. Now, out of that color,
2:37he extracts a darker variant and a
2:39lighter variant. So, if our color theme
2:41was red, that's a deep dark red gray and
2:43a light warm white. Now, the way that
2:45these colors are spread out is the scene
2:47is made up of 60% of the darker variant
2:49and 30% of the lighter variant and 10%
2:52of the accent vibrant color. This color
2:54combination stays consistent throughout
2:55all the designs and it's what makes
2:57every scene feel like part of the same
2:59video. Now, with the color broken down,
3:00there are four main types of Iman Gadzhi
3:02designs that we see consistently in his
3:04videos. And understanding these four
3:06will help you recreate any Iman Gadzhi
3:08video that you want. The first type is
3:10on-screen animations. These are fillers
3:12between two major chapters that maintain
3:14the viewer's retention until Iman
3:16transitions. Here, you're going to find
3:17bottom of screen text and icon
3:18animations, side-by-side object
3:20animations, UI elements like graphs with
3:22text at the bottom of the screen,
3:23graphics taking up one side while Iman
3:25takes the other, and lower thirds UI and
3:27text designs. The second type is UI
3:29animations, where the full screen
3:30becomes an animation incorporating UI
3:32and text. Here, you're going to find
3:34text-focused scenes with one word
3:35highlighted or underlined, two object
3:37scenes, which are great for comparison,
3:39one object plus text scenes revolving
3:41around a singular element, and every now
3:42and then complex design scenes with
3:44advanced shape geometry. The third type
3:46is illustrated scenes, typically used
3:48when telling some kind of story or
3:49experience. Here, you're going to find
3:51single character scenes, environmental
3:53scenes where the character is doing
3:54something, and characters in
3:55environments with text describing what
3:57they're doing, and more rarely,
3:58mysterious scenes with complex
4:00illustrations describing a concept. And
4:02finally, the last type of scene, which
4:04is the weirdest one, is the 3D animation
4:06scenes. These are designs composed
4:07around three-dimensional elements. These
4:09come very rarely and only when Iman
4:11really needs the viewer's attention to
4:13focus. So, to wrap things up, the four
4:14types of Iman Gadzhi designs are
4:16on-screen animations, UI animated
4:18scenes, illustrated cinematic art, and
4:203D animations. Now, training Cloud later
4:22on how to recreate each of these types
4:24of animations is exactly why our final
4:26edit turned out so good. So, stay tuned
4:28for that. And real quick, if you enjoy
4:30in-depth breakdowns of viral editing
4:31styles like these, where you get to
4:33learn the back-end psychology of how
4:35these amazing videos are created, then
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4:56the 30+ viral animation breakdowns.
4:59We're not just teaching you how to
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5:33The link is going to be down below.
5:34Editors are joining Ultimate Editors as
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5:42you'd like to do the same, the link is
5:43going to be down below. But now, with
5:45the first two pillars broken down, this
5:46brings us to pillar number three. How
5:48the Iman Gadzhi animations are created.
5:50It all comes down to four animation
5:52rules. And first is the text animations.
5:54Almost all of Iman's text use a
5:55word-by-word pop-up blur fade-in. Each
5:58word pops up, fades in, and blurs in.
6:00And they all happen sequentially to
6:02reveal. And this is exactly how we're
6:03going to be writing our prompts later to
6:05get the picture-perfect results with AI.
6:07Second is the icon animations. Icons get
6:09a simple pop-up fade-in that's quick and
6:12smooth. Third is the UI animations. UI
6:14have a simple pop-up fade-in that starts
6:16fast and ends slow and smooth. And
6:17elements always animate in sequentially.
6:19Certain elements always start first and
6:21the rest follow after. And fourth is the
6:23camera movement, especially on the
6:24illustrated scenes. The character is
6:26always interacting with the environment,
6:27and most importantly, the camera always
6:29has some kind of slow zoom-in or pan
6:31animation that keeps the scene active.
6:33So now, ladies and gentlemen, that wraps
6:34up all the principles to the Iman Gadzhi
6:36editing style, the planning, the design,
6:38and the animations. So now it's time to
6:39teach all of it to AI and train Claude
6:42to think exactly how an Iman Gadzhi
6:43editor thinks.
6:46To better understand how we're going to
6:48edit videos in the Iman Gadzhi style
6:49using AI, you need to understand this.
6:51Claude is a brain. It's able to study
6:53things and turn them into learned
6:55skills. And then use these skills to
6:56execute tasks based on what it studied,
6:58which is exactly what we're going to be
7:00doing. We're going to be exposing Claude
7:01to the training that we put together on
7:03how Iman's videos are made so that we
7:05can train it to edit like Iman Gadzhi.
7:07And it all starts with training Claude
7:08on how Iman plans his videos. In order
7:10to do this, first I grabbed a few
7:12assets, the 10 videos that we studied,
7:14all their transcriptions, and all the
7:15animations which were planned for them.
7:17Then I uploaded them over to Claude and
7:19told it to study exactly when every
7:21animation was planned, why, and what it
7:23included. Then use this analysis to
7:25conclude the planning system that Iman
7:27Gadzhi editors use. Now, by clicking
7:29enter, Claude studied all 10 scripts and
7:31every animation. And because of the
7:32sheer size of this analysis, it
7:34concluded the exact patterns behind how
7:36Iman's team thinks when planning
7:38animations. So, to test it, I uploaded
7:40the script of an Iman Gadzhi video and
7:41asked it to plan out the animations. And
7:43in the meantime, I did the same thing
7:44myself using my 8 years of editing
7:46experience. To my surprise, both plans
7:48were essentially identical. Claude was
7:50officially planning videos like an Iman
7:52Gadzhi production team.
7:57Now, if you don't know, I can sit here
7:59and spend hours and hours training
8:01Claude on a task, but you won't have to
8:03do that. Because if you download this
8:04skill file, your Claude will know
8:06everything that I trained my Claude on,
8:08which is why I spent almost a week
8:10turning this entire style into skills.
8:12An editor brain that plans out
8:14animations just like Iman Gadzhi, an
8:15Iman style designer to design scenes,
8:17and an Iman Gadzhi animator to create
8:19the animations. If you want access to
8:21these skills, I'll be including them in
8:23my AI editing fundamentals course in
8:24Ultimate Editors. Meaning not only will
8:26you be able to learn everything about AI
8:28video editing, but you're also going to
8:29get premium skills like these that do
8:31the editing for you. The link to check
8:33out Ultimate Editors is going to be down
8:34below. Check it out. But now that Claude
8:36was trained to plan just like Iman
8:38Gadzhi, it was time to train it on
8:39high-quality Iman Gadzhi designs.
8:41[music] So, how exactly did we do that?
8:43What I did was I first collected a huge
8:45pile of every animation that Iman Gadzhi
8:47made and put them all in a Figma doc.
8:49Then, under each section, I added a
8:50breakdown of how each type of animation
8:52is created and the different kinds of
8:54layouts for each design. [music] So, we
8:56had a column that broke down the design
8:57fundamentals behind the on-screen
8:59animations, one for the UI animations,
9:01one for the illustrated scenes, and one
9:03for the 3D animations. Then, I took
9:05these four PDFs and uploaded them to
9:07Claude. And I explained that this is the
9:08design fundamentals behind Iman Gadzhi's
9:11high-quality design scenes. Study it and
9:12analyze every kind of design and
9:14associate it with when they were used in
9:16the previous scripts. [music] Then,
9:17Claude studied these PDFs and created
9:19the Iman Gadzhi design brain. A skill
9:21that knows the four types of Iman Gadzhi
9:23designs and exactly how and when to
9:26create them. From the colors to the
9:27glows to the layouts, fonts, [music] and
9:29everything. And to test it, later in the
9:31video, I used this exact skill to design
9:33all the amazing scenes for our Iman
9:35Gadzhi edit, which is coming up in just
9:37a second. Again, if you want to download
9:39the full skill that was trained on the
9:40four types of Iman Gadzhi designs, it's
9:42all going to go live with the editing
9:43fundamentals course in Ultimate Editors.
9:45But, by this point, Claude was
9:46essentially trained on how to plan
9:48videos like Iman Gadzhi and how to
9:49design each type of scene just like Iman
9:51would, which meant that there was one
9:53last thing to teach Claude. How to
9:54animate just like Iman. And this is how
9:56we did it. In order to teach Claude how
9:58to animate like Iman Gadzhi, I had to do
10:00something special. You see, Claude can't
10:02actually watch videos or study
10:03animations. So, I had to tell Claude
10:05manually what was happening and when it
10:07was happening so that it could learn it.
10:09So, what I did was I uploaded
10:10screenshots of the designs of animations
10:12that Iman Gadzhi made. Then, I broke
10:14each one down for Claude. First, I
10:16uploaded an on-screen animation. I
10:17explained to Claude how the word-by-word
10:19pop-up blur fade-in animation worked,
10:21how the icons pop up fade in smoothly,
10:23and how the on-screen animations are
10:25animated. Then, I uploaded a UI
10:27animation and explained how the icons
10:29pop up fade in smoothly, how the UI has
10:31a cinematic pop-up fade-in animation as
10:32well, and how the camera follows a
10:34cinematic zoom-in animation. Then, I
10:36uploaded an illustrated scene and
10:37explained how the characters live out
10:39the environment, how the text pops up,
10:41and how most importantly the camera has
10:43a pan animation that starts quick and
10:45zooms out. After lots of prompting, I
10:46was finally able to explain to Claude
10:48how these scenes get [music] animated
10:50and what makes them the premium Iman
10:52Gadzhi style. Then, of course, I asked
10:53it to turn this into a skill called the
10:55Iman Gadzhi Animator Brain, which again,
10:57you can get access to in my AI Editing
10:59Fundamentals course in Ultimate Editors.
11:01The link's going to be down below. But,
11:02now that Claude can plan out videos like
11:04Iman Gadzhi, design scenes like Iman
11:05Gadzhi, and create smooth animations
11:07like Iman Gadzhi, there was one [music]
11:08last thing left to do. It was time to
11:10put all of this to the test and plug a
11:12raw video into Claude and see if it
11:14truly is able to create a full Iman
11:16Gadzhi style edit from scratch using
11:18everything we taught it.
11:21This right here is my raw video. It's a
11:23segment from an Iman Gadzhi video that
11:25he recorded a while back and it's all
11:27completely raw. I wanted to see just how
11:29good AI can edit this in the Iman Gadzhi
11:31style. So, let's find out. The first
11:33thing we need to do is plan out the
11:34edit, just like Iman Gadzhi. So, I pull
11:36up Claude and tell it to load up the
11:37Iman Gadzhi editor brain skill. Then, I
11:39uploaded the script of the video and
11:41prompted it this: Using the Iman Gadzhi
11:42editor brain, I want you to think like
11:44an Iman Gadzhi editor and plan out the
11:46edit for this script. For each line,
11:48extract the main subject of the scene,
11:49choose whether the scene needs an
11:50animation or not, and choose what the
11:52animation should be about. And after
11:54clicking enter and giving it some time
11:55to load, it absolutely blew my mind. It
11:57analyzed the script exactly like an Iman
11:59Gadzhi editor would, and it planned
12:01animations for every segment that needed
12:02animating. In total, it planned out 10
12:05total animations: a chapter reveal, four
12:07chapter references, three AI
12:08illustrations, and two dynamic scene
12:10designs. And the best part is, it
12:12planned them perfectly. They hooked the
12:13viewer in, they highlighted new
12:14concepts, and showcased everything just
12:17how Iman would. With the full plan
12:18created, it was time to start turning
12:20each scene into an Iman style design.
12:22So, let's go ahead and start building
12:23that. I then prompted Claude to load up
12:25our Iman Gadzhi design brain skill,
12:27because we were about to start creating
12:28some designs. But before we create the
12:30scenes, there's a tiny problem. You see,
12:31Claude on its own is a brain. It can't
12:34actually generate images or video. So,
12:36we connect it to a tool that can, which
12:37is Higgsfield. This means that Claude
12:39does the thinking and the
12:40decision-making, and Higgsfield executes
12:42on it and creates the images and
12:44animations. And we just keep working
12:45inside of Claude as if nothing happened.
12:47At the beginning of the video, Iman
12:48starts with this clip here. So, I've got
12:50a couple things written down, and
12:52honestly, I'm just going to spitball
12:53these 17 lessons. This clip introduces
12:56the subject of the video as 17 life
12:58lessons. So, Claude planned to reveal a
13:00notebook as the chapter element, with
13:02every chapter written inside it. I told
13:03Claude the accent color was going to be
13:05red, since we could see a hint of red in
13:07the background where Iman was recording.
13:08And I prompted it to create the design
13:10for this scene in the Iman Gadzhi style.
13:12Claude thought a little and gave
13:13Higgsfield this prompt: In a black and
13:15red illustrated theme, create a top-down
13:16shot of a notebook on a table in a dark
13:18room with elements on the edges for
13:20depth. And this is the design it
13:21generated. It perfectly fit the brand.
13:23Then, using the notebook as a reference,
13:25Claude prompted Higgsfield to create an
13:26image of this notebook but open. The
13:28paper has an off-white warm textured
13:30color and inside the title says 17 life
13:32lessons and a list of 17 ideas all
13:35scribbled. And this is the scene that it
13:36created, which looked perfect. Now,
13:38these two scenes form the first
13:39animation. So, I asked Claude to load up
13:41the Iman Gadzhi animator brain and bring
13:43them to life. Claude referenced both the
13:45notebook shots in Scene Dance 2.0 and
13:47prompted the notebook starts closed on
13:49the desk then quickly opens as the wind
13:51makes the papers jitter revealing the 17
13:53life lessons as a slow camera zoom in is
13:55constantly happening. There's no music,
13:57just [music] sound effects. And this is
13:58the animation it generated. This is the
14:00perfect chapter element reveal for the
14:02beginning of the video. By the way, if
14:03you're finding any of this complex and
14:04if you've never edited anything with AI
14:06before, don't worry. This is exactly why
14:08I built the AI editing fundamentals
14:09course. I'm going to be breaking down
14:11everything you need to create stunning
14:12AI edits like these from A to Z. And
14:15you're also going to get access to all
14:16the Iman Gadzhi skills used in this
14:18video. The link is going to be down in
14:19the description. But this chapter reveal
14:20was only the beginning. The next clip
14:22was Iman revealing the first chapter.
14:24>> Lesson number one is you need to extend
14:27your timeline.
14:28>> To list out each chapter, we unscrambled
14:30the text and write out the chapter title
14:32exactly how Iman does it. So, I prompted
14:34Claude to create the chapter animation
14:35for chapter one extend your timeline.
14:37First, Claude prompted Higgsfield to
14:38reference the open notebook and generate
14:40a close-up macro shot of lesson number
14:42one still scribbled. Then to unscramble
14:44the text into the title extend your
14:46timeline. Then using these two images as
14:47reference with Scene Dance 2.0, it
14:49prompted a close-up macro shot of the
14:51scribbled text in number one
14:52unscrambling and turning into the words
14:54extend your timeline as a cinematic
14:56camera constantly tilts 3D around the
14:58image. And this is what Higgsfield
14:59created, a perfect animation revealing
15:01our first chapter. And for the three
15:02other chapters, Claude repeated the same
15:04workflow, unscrambling a different
15:05number into each chapter title giving us
15:07all four chapter animations for the
15:09video. And this was just the beginning.
15:11Next up were the three illustrated
15:12sequences, which follow a very similar
15:14workflow. In the next clip, Iman says
15:16this. He's telling a personal story. So,
15:18Claude planned to emphasize the emotion
15:20with a cinematic illustrated chart of
15:22every scenario. Scenario one was the
15:23hangout with the friends. Claude
15:25prompted Hicksfield in the red and black
15:26illustrated style generated a group of
15:28friends hanging out having fun on a
15:29couch. And this is what it generated. It
15:31fit the branding and looked like
15:32something straight out of an Iman Gadzhi
15:34video. Then to animate it, Claude
15:35prompted Hicksfield to use it as a
15:37reference as the camera slowly zooms in
15:39on this group of teenagers having fun.
15:41There's no music, there's just sound
15:42effects. And this is our first cinematic
15:44scene. Scenario two was about grabbing a
15:46beer. Same workflow. Claude references
15:47the first scene and creates a group
15:49toasting at the bar. Then it animates it
15:51with a cinematic slow zoom in as they
15:53toast and beer spills everywhere. And
15:55scenario three was about watching a
15:56football game. Claude generated the
15:58group of fans jumping hyped in a
16:00football stadium and animated a
16:01cinematic zoom in as they
16:02enthusiastically jump and scream. Now by
16:05combining all three of these, this is
16:07what our cinematic illustration looked
16:08like. Now real quick, this happens two
16:10more times throughout the raw video. On
16:11our second section, Iman says this.
16:14>> I would walk down the street. You could
16:15tell I was on a mission.
16:17>> Claude generates a shot of a character
16:18walking down the crowded street and a
16:20close-up of the eyebrows. And then it
16:21turns both into a simple illustrated
16:23animation. And on our third scenario,
16:25Iman says this.
16:26>> If you pick up a girl, if you drop a
16:28girl home after a date, if you pay for
16:30the bill.
16:31>> Claude generates a man opening the door
16:32for a woman. The man is taking her home
16:34and a top-down shot of him paying the
16:36bill. This time with a clean white text
16:37on the edge of each scene which looked
16:39super high quality. Then Claude turned
16:41all of these into high quality animated
16:42illustrations using the exact same
16:44workflow. Now by this point, most of the
16:46edit had animations and it was time to
16:48create the final cut. The two dynamic
16:50designs. For our first clip, Iman says
16:52this.
16:52>> And I think that was really just a sign
16:54of having a clear direction, a vision
16:56for what I could become.
16:57>> So Claude planned to show a vision in
16:59the center of the scene with a man
17:00staring into it and distraction icons
17:02floating around the edges. Hicksfield
17:04processed a little and this is what it
17:06came up with. It fit the branding enough
17:07but definitely could have been better.
17:08But I still rolled with it. Then Claude
17:10prompted Hicksfield to use this as a
17:12reference and start the scene with a
17:13black background, reveal the vision in
17:14the middle with particles and the
17:16effects then pop up and fade in the
17:17character and finally reveal the
17:19distracted icons. Now, this animation
17:21actually came out really solid. And for
17:23our second section, Iman mentions this.
17:25>> Focus on learning skills that are
17:27practical. Focus on starting businesses
17:29or careers that are practical.
17:31>> So, Claude planned a brain receiving
17:32information in the same style. It
17:34prompted a design in the middle with
17:36circular patterns emerging and two hands
17:38reaching in from the edges with
17:39information. Then, it used it as a
17:40reference to create this beautiful
17:42animation. Which, by this point with the
17:44chapter animation done, the illustrated
17:46scenes and the dynamic designs, every
17:47animation in the video was officially
17:49complete. And after adding them into the
17:51video, I just couldn't believe how good
17:52this turned out. Check it out.
17:54>> I've got a couple things written down
17:55and honestly, I'm just going to spitball
17:57these 17 lessons. Lesson number one is
18:00you need to extend your timeline. I can
18:02tell you that I have missed out on so
18:04many hangout with the friends, grab a
18:06beer with the friends, watch the
18:08football game. It is so easy to see the
18:10final product and think that you need to
18:13rush when quite frankly, you don't. The
18:15next life lesson is walk with purpose. I
18:17remember even from the age of 15 or 16,
18:20I would walk down the street. You could
18:22tell I was on a mission and I think that
18:23was really just a sign of having a clear
18:26direction, a vision for what I could
18:28become. Now, the next thing is to focus
18:30on practicality and not purpose. Focus
18:33on learning skills that are practical.
18:35Focus on starting businesses or careers
18:37that are practical. Focus on becoming a
18:40gentleman. Do not listen to all of these
18:42guys that have never lived in the real
18:43world telling you, "Oh, you're a simp if
18:46you pick up a girl, if you drop a girl
18:48home after a date, if you pay
18:49>> [music]
18:49>> for the bill." I don't know who raised
18:51some of these kids because quite
18:52clearly, they're not actual men. The way
18:54that I was raised is as a man, you pay
18:56for the bill. And if you cannot pay for
18:57the bill, if you cannot afford to, and
18:59when I was younger, I was in that
19:00position. Well, then guess what? [music]
19:02Get to work. Ladies and gentlemen, this
19:03brings us to the end of the video and
19:05this makes us realize something very
19:07shocking. I think it's very evident that
19:08video editing is slowly going from
19:10mastering the editing programs and the
19:12viral editing styles into learning how
19:14you can utilize AI to do the technical
19:16work so that you as a video editor can
19:19focus on coming up with the creative
19:20[music] scenes. This by no means claims
19:22that video editing is dead because of
19:24AI. As a matter of fact, I think it's
19:26more alive than ever. Now AI can do all
19:28of the heavy work like the animating and
19:30the designs while you can focus on doing
19:31the things that matter like analyzing
19:33the video for where the best animations
19:35need to be and using AI to create that
19:37video for you. But with all this being
19:38said, thank you guys so much for
19:39watching all the way to the end of the
19:40video and I'm very very interested to
19:42know what do you guys think of AI video
19:44editing? When you hear AI video editing,
19:45do you instantly get defensive? Do you
19:47feel angry about it? Or are you open to
19:49discovering AI and learning new tools
19:51that can make your workflow easier? Let
19:53us know in the comments down below. But
19:54in the meantime, stay tuned for our next
19:55video and feel free to check out one of
19:57these two tutorials which are just as
19:59valuable as the one that you just
20:00watched. Thanks a lot for everything
20:01guys and we'll see you next time.

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