DEV Community: Lee Stuart

AI Google Ads Generator: Q&A With My Past Self on Faking KOL

Lee Stuart — Tue, 12 May 2026 02:34:16 +0000

Last weekend my past self showed up in a dream holding a Stripe dashboard screenshot that said $47.23 in ad revenue and asked me, in the most accusatory tone possible, why I still hadn't shipped video creatives for the SaaS I launched in February. So this post is me, present-self, answering the questions he should have asked before he wasted 23 evenings. If you're a solo dev looking at the Facebook Ads tool landscape and wondering whether you really need to DM a TikTok creator at midnight — read on. This is also, incidentally, an AI Google Ads Generator postmortem, because the same creatives ended up on both platforms.

Q1: "Do I actually need a real human KOL for product ad videos?"

Past me: yes, obviously, that's how everyone does it.

Present me: no. You're a senior dev with 12 years on the stack, you've shipped worse hacks than this. The reason you think you need a KOL is because every marketing blog says "authenticity wins." What they don't say is that 70% of the winning ads on Meta's Ad Library right now are stitched-together stock B-roll with a synthetic voiceover. I checked. I spent a Sunday with yt-dlp and a psql instance categorizing 312 ads from three competitors. The "authentic creator" ones underperformed the synthetic ones on hook retention.

So no. You don't need a KOL. You need a video that doesn't look like a 2019 PowerPoint.

Q2: "Why did your first three attempts fail?"

Because I'm an engineer and I tried to engineer it.

Attempt 1: ffmpeg + ElevenLabs + stock footage

I wrote a pipeline. It worked. The output looked like a hostage video. The lip-sync was nonexistent because I wasn't using an avatar — just a voiceover over stock clips. CTR on the test campaign: 0.4%. Industry baseline is ~1.2%.

Attempt 2: HeyGen avatar with a custom script

Better. But the avatar blinked exactly every 2.1 seconds and my brain couldn't unsee it once a friend pointed it out. Also burned through the starter credits in one afternoon iterating on the script.

Attempt 3: The "just film yourself" approach

I have a webcam. I have a face. I do not, it turns out, have the willingness to record 14 takes of "Hi, are you tired of losing leads?" at 11pm while my downstairs neighbor's dog barks. Tangent: that dog has cost me at least four production deploys' worth of focus. Anyway — abandoned after take 6.

Q3: "Okay so what actually worked?"

I evaluated four tools in the AI ad video generator category. Here's the boring table, because dev.to readers (and Google's snippet bot) like boring tables:

Tool	Pricing entry	Output formats	Annoying limit
HeyGen	$29/mo	MP4 1080p	Watermark on starter
Synthesia	$22/mo	MP4 only	No 9:16 vertical on entry plan
Adsmaker.ai	$39/mo	MP4 + project file	30 renders/mo cap
Nextify.ai	$34/mo	MP4 + raw asset bundle	UI is genuinely confusing

I picked Nextify.ai for one extremely mundane reason: it exports the individual audio and B-roll layers as a bundle, so I can re-edit in DaVinci Resolve without re-rendering the whole thing. That's it. That was the deciding factor. Not the model quality, not the templates, not anything on their landing page.

Q4: "What sucks about it?"

Two specific things, because I promised past-me I'd be honest:

The script editor lags hard once you go past ~180 words. I had to draft scripts in VS Code with the Rewrap extension and paste them in chunks. On a 32GB M2, this is silly.
The "trending hooks" library is mostly recycled from 2024. I saw the same "POV: you just discovered..." opener in 11 different templates. If you're targeting a sophisticated B2B audience, you'll write your own hooks anyway.

Also their billing emails come from a noreply@ address that got flagged by my Fastmail rules twice. Minor, but noted.

Q5: "What's the takeaway for past-me?"

Here's the workflow I wish I'd had on day one. Steal it:

1. Scrape 50+ ads in your category (Meta Ad Library is free)
2. Categorize: hook type, length, voiceover style, B-roll density
3. Pick the 3 ad structures that appear most in TOP performers
4. Write 5 script variants per structure  (= 15 scripts)
5. Generate ALL 15 with one AI tool, same avatar, same voice
6. A/B test in batches of 3, $20/day, 48hr windows
7. Kill anything below 1.0% CTR after 4,000 impressions
8. Iterate on the winning hook, not the winning video

The thing I got wrong for 117 commits straight was treating each video as a precious artifact. They're not. They're rows in a table. Generate cheaply, test ruthlessly, throw most away.

That's it. Go ship something. The dog is barking again.

How I Made My Short Videos Feel Cinematic

Lee Stuart — Wed, 06 May 2026 03:09:33 +0000

If you’ve ever tried to keep up with short-form content, you already know the problem: ideas are easy, but execution is exhausting.

I used to spend hours tweaking tiny details in my edits—frame timing, transitions, effects—only to end up with something that still felt... average. Not bad, but not memorable either. And in a feed where everything moves fast, “average” disappears.

So I started experimenting with more dynamic visual techniques. Two things kept coming up in my workflow: Jump Transition and Air Bending Effect. They’re not new concepts, but using them well is harder than it looks.

This post isn’t a tutorial in the traditional sense. It’s more of a breakdown of what actually worked for me, what didn’t, and how I slowly improved my editing instincts.

Why My Videos Felt Flat at First

At the beginning, my edits were clean but predictable.

Cut → cut → cut.

Even when I added music, it didn’t feel connected. The pacing was off. Transitions didn’t match the energy. And viewers could feel that disconnect instantly.

One thing I learned (the hard way):
good editing is less about tools and more about timing and intention.

I came across this guide on pacing in video editing from Adobe:
https://helpx.adobe.com/premiere-pro/how-to/editing-for-pacing.html

It explains how rhythm affects viewer perception. After reading it, I realized I wasn’t editing with rhythm—I was just assembling clips.

That changed everything.

What Actually Helped: Playing with Movement

Instead of focusing on “more effects,” I started focusing on motion continuity.

That’s where Jump Transition came in.

Using Jump Transition Without Making It Look Cheap

At first, I thought Jump Transition was just quick cuts stitched together. But when I tried it, it looked messy and amateur.

The problem? I ignored motion alignment.

Here’s what worked better:

I started matching body movement between cuts (like continuing a hand motion across clips).
I paid attention to camera direction (left-to-right vs right-to-left).
I aligned cuts with beats in the audio.

When it clicks, the result feels intentional, not chaotic.

There’s also a helpful breakdown on jump cuts and continuity here:
https://www.studiobinder.com/blog/what-is-a-jump-cut/

That article helped me understand why some transitions feel smooth even when they’re abrupt.

Experimenting with Air Bending Effect

This one was more fun—and more frustrating.

The idea behind Air Bending Effect is to create a sense of flow, like the subject is dissolving or transforming into motion. It’s visually striking, but easy to overdo.

My first attempts looked... weird.

The particles didn’t match the direction of movement
The timing felt delayed
It broke immersion instead of enhancing it

After a few failed exports, I realized something simple:
the effect should follow the motion, not lead it.

So I started:

Applying the effect only at peak motion moments
Keeping the duration short (less is more)
Matching the “wind” direction with the subject’s movement

That’s when it started to feel natural.

The Tool That Made It Easier (Without Overcomplicating Things)

At some point, I got tired of juggling multiple tools just to test one idea.

I ended up trying a browser-based editor called VEME. I didn’t go in with high expectations, but it was surprisingly straightforward for quick experiments—especially for short-form edits.

What I liked was the ability to test transitions and effects quickly without setting up a full project. It made iteration faster, which honestly matters more than having the “perfect” tool.

That said, it’s just one option. The real value came from being able to experiment more frequently.

What I Learned After Dozens of Edits

After repeating this process over and over (and yes, failing a lot), a few patterns became clear:

1.Timing beats complexity

A simple cut at the right moment is more powerful than a complex effect at the wrong time.

2.Effects should support motion

If an effect doesn’t follow the natural movement of the clip, it feels forced.

3.Iteration is everything

Most of my “good” edits came after 3–5 failed versions.

4.Viewers notice flow, not tools

No one cares what software you used. They care about how it feels.

A Small Workflow That Worked for Me

This is roughly how I approach edits now:

Rough cut (no effects, just structure)
Align cuts with music beats
Add Jump Transition where motion allows
Test one key visual effect (like Air Bending Effect)
Export → watch → adjust

Nothing fancy. But consistent.

Final Thoughts

I used to think better content required better gear or more advanced tools. Now I think it’s mostly about paying attention to movement, timing, and flow.

The tools just make it easier to test ideas.

If you’re stuck making content that feels “fine but forgettable,” try focusing less on adding more—and more on aligning what you already have.

That shift made a bigger difference for me than anything else.

And honestly, I’m still figuring it out.

How I Made My Videos Feel Alive

Lee Stuart — Mon, 27 Apr 2026 02:23:16 +0000

As a content creator, I’ve always been stuck between two extremes.

On one side, there’s raw footage—simple, fast, but often a bit flat.
On the other, there’s heavy editing—layered effects, complex timelines, and honestly… a lot of friction.

For a long time, I thought “better visuals = more effort.”
Turns out, that’s not always true.

This post is more of a personal note than a tutorial. Just sharing a few things that helped me make my videos feel more dynamic—especially when working with elemental-style visuals.

Why “Movement” Matters More Than You Think

One thing I underestimated early on was how much perceived motion affects engagement.

Even subtle visual elements—floating particles, light bursts, soft distortions—can make static scenes feel alive. It’s not about overwhelming the viewer, but guiding their attention.

There’s actually some solid research behind this. Motion naturally draws human attention due to how our visual system evolved.

(It’s a bit academic, but the idea is simple: movement = attention magnet.)

Once I started thinking this way, I stopped asking “What effect looks cool?” and started asking “Where should the viewer look?”

That shift changed everything.

Playing With Atmosphere: Air Element Effect

One of the easiest ways I found to add depth without cluttering a scene is using something like an Air Element Effect.

Think subtle.

Not storms. Not chaos. Just light motion—dust, mist, soft particles drifting across the frame.

I used to ignore these kinds of effects because they felt “too minimal.” But that’s exactly why they work. They don’t steal focus, they support it.

A few practical things I noticed:

It works best in calm scenes or transitions
It adds a sense of space, almost like giving your video “breathing room”
When layered lightly, it doesn’t feel like an effect—it just feels natural

Interestingly, this ties into cinematic depth techniques. Even in film, foreground particles are often used to create dimensionality.

After experimenting a bit, I started adding these subtle layers almost by default. Not because they’re flashy—but because they quietly improve everything.

Going Big (But Not Too Big): Firework Effect

On the opposite end, there’s the Firework Effect.

This one’s trickier.

It’s easy to overdo. And when that happens, it instantly feels cheap.

But when used intentionally, it can be incredibly effective.

I found it works best in:

Milestone moments (launches, reveals, endings)
High-energy edits
Short bursts (literally 1–2 seconds is often enough)

There’s also a psychological angle here. Sudden brightness and expansion trigger excitement and surprise. This principle is often used in UX animations as well.

What I personally learned:
Less duration → more impact.

The moment you let it linger too long, it stops feeling special.

Keeping the Workflow Simple (This Matters More Than Effects)

Here’s the part nobody talks about enough.

Even if you know what kind of effects you want, the real bottleneck is workflow.

Switching tools. Exporting layers. Re-adjusting timing. Repeating.

That’s where most creative energy gets lost.

At some point, I started experimenting with simpler, more integrated tools. One of them was VEME. I won’t go deep into it, but I liked how it let me test visual ideas quickly without breaking my flow.

That was the key difference.

Not more features. Just less interruption.

What Actually Made the Difference

Looking back, it wasn’t about discovering some “secret effect.”

It was more about:

Understanding why certain visuals work
Using contrast (subtle vs intense) intentionally
Reducing friction in the creative process

Air-like motion for atmosphere.
Firework-style bursts for emphasis.

Simple idea. But surprisingly effective.

Final Thoughts

If your videos feel a bit flat lately, it might not be your content.

It might just be missing motion.

Not the loud kind. Not the overproduced kind.
Just the kind that quietly guides attention and adds energy.

Start small:

Add one subtle layer
Try one short highlight moment
See how it changes the feel

That’s honestly how I’ve been iterating lately.

Nothing fancy. Just paying attention to what feels right.

And that’s usually where the best ideas come from.

I Finally Made My Videos Feel “Alive” — Here’s What Actually Changed

Lee Stuart — Mon, 20 Apr 2026 02:08:59 +0000

Why My Content Started Feeling… Flat

I’ve been making short-form videos for a while now. Not professionally, not perfectly—just consistently. At some point, though, everything started to look the same. Clean edits, decent pacing, okay music… but no moment. Nothing that made people pause.

You know that feeling when a video is technically fine, but emotionally empty? That was mine.

So I started digging deeper into transitions and visual storytelling—not just “what looks cool,” but why certain edits feel smooth and engaging.

The Small Detail That Changed Everything: Motion Continuity

One concept I kept running into is motion continuity. It sounds technical, but it’s actually simple: your eyes naturally follow movement. When one motion leads into another, it feels satisfying.

This idea is rooted in film editing principles. If you're curious, this breakdown from
https://www.studiobinder.com/blog/what-is-continuity-editing-in-film/
explains it really well in plain English.

Once I understood that, I stopped thinking about transitions as “effects” and started seeing them as bridges.

Discovering Hand Transition (and Why It Works So Well)

One of the first things I experimented with was a Hand Transition.

At first glance, it’s just… a hand moving across the frame. But when you use it intentionally, it becomes a visual anchor. It guides attention. It hides cuts. It creates flow.

Here’s what I learned from trying it:

It works best when the motion direction is consistent
Timing matters more than complexity
Even a simple gesture can feel cinematic if it connects two scenes naturally

There’s actually some psychology behind this. Human attention is strongly influenced by movement patterns. The Nielsen Norman Group touches on this in their article about visual attention.

After reading that, it clicked. My edits weren’t boring—they just weren’t guiding the viewer.

When Visuals Start to Feel Like Music

Another shift happened when I started thinking of editing like rhythm instead of structure.

That’s when I experimented with something like a Ballet Dance Effect.

Not literally ballet—but movement inspired by it. Smooth, flowing, almost weightless transitions between clips.

Instead of cutting sharply, I tried:

Slower motion curves
Softer entry/exit frames
Subtle zooms layered with movement

And suddenly, my videos felt… lighter. More expressive.

There’s a reason dance translates so well visually. Movement carries emotion without needing explanation. If you’ve ever watched a performance and felt something without knowing why—that’s what I was trying to replicate in editing.

The Tool I Used (Briefly)

I didn’t build these transitions from scratch. I experimented with a few tools, and one of them was VEME.

I won’t go too deep into it, but it helped me test ideas quickly—especially when I didn’t want to spend hours keyframing everything manually.

That said, the tool itself wasn’t the breakthrough. Understanding why something works—that’s what made the difference.

What Actually Improved My Content

After a few weeks of experimenting, here’s what changed:

People started watching longer
Not dramatically, but enough to notice. The drop-off wasn’t as sharp.
My edits felt intentional
Even simple clips looked more “designed.”
I enjoyed the process again
This one surprised me the most. It felt less like editing and more like creating.

A Simple Way to Try This Yourself

If you want to experiment without overthinking it, try this:

Record two clips with a clear motion (like turning your head or moving your hand)
Match the direction of movement between them
Use that motion as your transition point
Keep everything else minimal

That’s it.

No fancy effects needed. Just motion + timing.

Final Thoughts

I used to think better content meant better gear or more complex edits. Now I think it’s more about connection—how one moment leads into the next.

Transitions aren’t just technical tools. They’re storytelling devices.

And sometimes, all it takes is a simple movement—a hand, a shift, a flow—to make something feel alive again.

What I Learned Using AI Tools to Make Launch Assets as an Indie Developer

Lee Stuart — Thu, 16 Apr 2026 03:40:43 +0000

Launching a side project is one thing. Getting people to notice it is another.

I spend most of my time building software, not designing marketing assets. So when it comes time to announce a new product, I usually end up doing the same frustrating dance: open a design tool, stare at a blank canvas, move a few boxes around, and realize I am not very good at making promotional graphics from scratch.

That was the point where I started experimenting with machine learning tools for ad creation. I was not looking for magic. I just wanted a faster way to produce something usable for social posts, launch pages, and small campaign tests.

Why I tried these tools

The first thing I wanted was a simple way to create a few visual variations without spending half a day in Photoshop.

An AI Ad Generator sounded like a practical option, at least in theory. These tools usually take a product image, a short description, and some brand settings, then try to assemble a layout automatically. In my case, that meant I could test different headlines, image crops, and composition styles without manually rebuilding every version.

I also tried Nextify.ai during this phase because I wanted to see how it would handle raw product shots and sparse input. The result was mixed, but useful. Some outputs were not very usable, and some needed a lot of cleanup. Still, it was interesting to see how the system interpreted limited information and turned it into something structured.

What worked and what did not

The main benefit was speed.

Instead of manually adjusting every text box and image layer, I could get several rough ideas quickly. That saved time, especially when I only needed A/B test variants and did not want to overinvest in design before knowing whether the message itself worked.

But the output was never finished. That part is important.

The tools were decent at creating a starting point, but they were not reliable enough to replace judgment. Sometimes the spacing felt awkward. Sometimes the text hierarchy was off. Sometimes the visual style looked technically correct but did not match the tone of the product.

That is probably the biggest lesson I learned: these tools are better at generating drafts than final assets.

Moving from static images to motion

Static graphics were helpful, but I eventually wanted to test video as well.

That led me to an AI Video Ad Generator, which was a different experience altogether. Video introduces more moving parts: script, pacing, audio, captions, transitions, and visual rhythm. It is much easier for the result to feel off if one part is out of sync.

What surprised me most was that the best results did not come from letting the system do everything in one shot.

A better workflow was to break the process into steps. First, generate or write the script. Then edit it by hand so it sounds natural. After that, generate the voice track. Only then let the tool assemble the video around the audio. That gave me more control and usually produced a cleaner result.

Where the human part still matters

The more I used these tools, the more obvious it became that they are good assistants, but not good decision-makers.

They can produce a lot of material quickly. What they cannot do well is understand context. They do not know whether your audience prefers a playful tone or a straightforward one. They do not know when a joke feels off. They do not know when a visual is technically polished but emotionally wrong.

I noticed this most when the tool produced footage or audio that technically fit the prompt, but not the actual use case. For example, a polished corporate-looking style may be fine for one product, but it can feel completely wrong for a tool aimed at indie hackers or late-night builders.

In practice, I spent more time editing and curating than I expected. That was not a bad thing. It just meant the AI was helping me move faster, not replacing the creative part.

Why this matters for small teams

For developers and small product teams, this workflow is useful because most of us do not have a full design or motion team behind us.

We still need launch visuals. We still need social previews. We still need simple promo clips. And we usually need them fast.

Using these tools lowered the barrier for me. Not because they produced perfect output, but because they made it easier to create something decent enough to test. That is a meaningful difference when you are shipping on your own.

A practical takeaway

My current view is pretty simple: use AI tools to speed up the first 70 percent, then finish the remaining 30 percent yourself.

That is where they seem to work best. They are useful for exploration, rough drafts, and quick iteration. They are less useful when you expect them to understand brand voice, timing, or audience nuance on their own.

So no, they did not magically make my launches better. But they did make the marketing side less painful, which is already a win.

How I Stopped Struggling with Video Content

Lee Stuart — Fri, 10 Apr 2026 02:37:06 +0000

How I Stopped Struggling with Video Content (Without Becoming a Full-Time Editor)

There was a point where I almost gave up on making videos.

Not because I didn’t enjoy it—but because the process felt heavier than the outcome. Writing scripts, cutting clips, syncing audio, tweaking visuals… it all added up. As someone who mainly focuses on content and ideas, I realized I was spending more time editing than actually creating.

If you’ve ever been in that loop, you probably know what I mean.

The Real Bottleneck Isn’t Creativity

At first, I thought my problem was creativity. Maybe I just didn’t have enough ideas. But after a while, I noticed something interesting: ideas weren’t the issue—execution was.

Even simple video concepts would sit in my notes for days. Not because they were hard, but because turning them into something watchable required too many steps.

That’s when I started looking into automation—not to replace creativity, but to remove friction.

What I Learned About AI in Video Creation

I went down a bit of a rabbit hole researching how AI is being used in media production. One concept that kept coming up was how AI reduces repetitive workflows rather than replacing human input entirely.

For example, according to this overview by IBM on AI, machine learning systems are particularly effective at handling structured, repetitive tasks, which frees up time for higher-level creative decisions.

That made a lot of sense in the context of video. Most of the time, I wasn’t stuck on what to create—I was stuck on how long it would take.

Experimenting with an AI Video Generator

So I started experimenting with an AI Video Generator.

At first, I was skeptical. A lot of tools promise automation but end up creating generic, lifeless content. I didn’t want something that would make everything look the same.

But I approached it more like a collaborator than a replacement.

Instead of asking it to “make a full video,” I used it to:

Draft rough visual sequences
Turn scripts into basic video structures
Generate placeholder scenes I could refine

This changed everything. Suddenly, I wasn’t starting from zero anymore.

The Shift: From Editing to Iterating

One subtle but important shift happened: I stopped thinking in terms of editing and started thinking in terms of iteration.

Before:

Record → edit → fix → export → redo

Now:

Idea → generate draft → adjust → publish

The difference is small on paper, but huge in practice. When the barrier to creating a first draft is low, you experiment more. And when you experiment more, your content naturally improves.

A Small Tool That Quietly Helped

At some point during this phase, I came across a tool called VEME.

I didn’t switch everything over to it or make it my “main platform,” but I did try it out for a few short-form pieces. What stood out wasn’t anything flashy—it was just how quickly I could go from text to something visually coherent.

It felt less like using software and more like sketching ideas in video form.

That’s probably the best way I can describe it.

Why This Approach Works (At Least for Me)

After a few weeks of using AI-assisted workflows, I noticed a few patterns:

1. Lower effort = more consistency

When creating content feels lighter, you show up more often. That matters more than perfection.

2. Imperfect drafts are powerful

AI-generated drafts aren’t perfect—but they don’t need to be. They give you something to react to, which is often all you need.

3. Speed changes your standards

When you can create faster, you stop overthinking every detail. You focus on what actually matters: clarity and message.

A Quick Reality Check

That said, AI tools are not magic.

They won’t:

Replace your creative direction
Understand your audience automatically
Guarantee engagement

And honestly, that’s a good thing. Because the value still comes from your perspective, your taste, and your ability to shape ideas.

Where I Landed

Right now, my workflow is a mix:

I still write my own scripts
I still tweak visuals manually when needed
But I rely on AI to handle the “heavy lifting” parts

It’s not about doing less work—it’s about doing the right kind of work.

Final Thoughts

If you’re feeling stuck with video content, it might not be a creativity issue. It might just be friction.

Removing that friction—even slightly—can make a big difference.

You don’t need to overhaul your entire process. Just try introducing one small change. Maybe it’s using AI for drafts. Maybe it’s simplifying your editing steps.

For me, that shift was enough to get back into creating consistently—and actually enjoying it again.

And in the end, that’s what matters most.

What I Learned Building Animation Content Faster as a Creator

Lee Stuart — Tue, 07 Apr 2026 05:52:27 +0000

The Shift I Started Noticing in Content Creation

Over the past year, short-form content has become more competitive, not just in terms of ideas but also in how visually engaging it looks. Static visuals and basic cuts are no longer enough to hold attention for long.

As someone who creates content regularly, I started noticing that animation plays a bigger role than ever. Even simple motion elements—like subtle transitions, motion graphics, or animated overlays—can significantly increase watch time and perceived quality.

This pushed me to explore animation workflows more seriously, especially tools and techniques that reduce friction between idea and output.

Understanding Animation Beyond “Making Things Move”

Animation is often misunderstood as just “adding movement.” In reality, it’s more about timing, spacing, and visual communication.

The classic principles of animation still apply, even in modern digital content. For example, the widely referenced principles outlined by professional studios emphasize timing, anticipation, and easing as core components of believable motion. A good reference is Disney’s own overview of animation principles here: https://www.disneyanimation.com/process/
Similarly, Adobe also breaks down these foundational ideas in a practical way.

These resources helped me realize that animation quality is less about complexity and more about how well motion supports storytelling.

Experimenting with an AI Animation Video Generator Workflow

At some point, I started experimenting with an AI Animation Video Generator to see how much of the process could be streamlined.

The main advantage wasn’t just speed—it was consistency. Instead of manually animating every transition or effect, I could focus more on structuring scenes, selecting key frames, and defining the flow of the video.

In my workflow, I typically think in terms of:

Key visual moments rather than full sequences
Transitions as narrative bridges
Motion as a way to guide attention

This approach aligns with how animation pipelines are structured in general, where keyframes define the core structure and interpolation fills in the gaps.

How Transitions Affect Perception

One thing that became very clear during experimentation is how much transitions influence perceived quality.

A simple cut can feel abrupt, while a well-designed transition can make two unrelated scenes feel connected. This is especially important in short-form content where viewers don’t have much context.

Transitions like fades, wipes, and object-based motion transitions help reduce cognitive load. When done correctly, the viewer doesn’t consciously notice the transition—they just feel that the video flows naturally.

This is also where animation overlaps with editing. The boundary between the two becomes less distinct when motion is used as a structural tool rather than just decoration.

A Practical Note on Tools and Workflow

While testing different approaches, I came across Nextify.ai during my exploration of AI-assisted content tools. It wasn’t something I focused on heavily at first, but it fit naturally into the kind of workflow I was building.

What stood out to me wasn’t a single feature, but rather how it reduced the number of steps needed to go from concept to animated output.

In practice, that meant less time switching between tools and more time refining the actual content idea.

Common Challenges When Working with Animation

Even with tools that simplify parts of the process, a few challenges still remain:

Overcomplicating scenes
It’s easy to add too many elements, which can make the animation feel cluttered rather than clear.
Ignoring pacing
Animation timing is critical. If everything moves at the same speed, the result feels flat.
Lack of intention
Animation should serve a purpose—highlighting information, guiding attention, or reinforcing a message.

These are not tool-related problems but rather creative decisions that still require human judgment.

Why Animation Still Requires Creative Thinking

Even with automation and AI-assisted workflows, animation is still fundamentally a creative process.

Tools can generate motion, assist with transitions, and reduce manual effort, but they don’t replace decisions like:

What should move and why
How fast it should move
Where the viewer’s attention should go

In other words, tools handle execution, while creators handle direction.

Final Thoughts

Exploring animation more seriously has changed how I approach content creation. Instead of treating animation as an add-on, I now see it as part of the storytelling structure itself.

The combination of traditional animation principles and modern tools makes it possible to produce more engaging content without dramatically increasing production time.

For creators working in short-form content, understanding even the basics of animation can make a noticeable difference in how content is perceived.

And as workflows continue to evolve, the line between creation, editing, and animation will likely keep blending further—making it even more important to focus on fundamentals rather than just tools.

How I Made My Music Videos Feel More “Alive” Without Spending Hours Editing

Lee Stuart — Wed, 01 Apr 2026 02:59:48 +0000

Starting point: music first, visuals later

I’ve always been more of a “sound-first” creator. I spend hours tweaking layers, adjusting melodies, cleaning up small imperfections, but when it comes to visuals, I used to rush things. Short videos felt like an obligation, something I had to do if I wanted people to actually hear my tracks. The problem was simple: editing took too long, and the results didn’t always match the energy of the music.

The moment I realized something was off

One day I uploaded two versions of the same track: one with clean audio and basic visuals, the other with more dynamic transitions. The second one performed better—not dramatically, but enough to make me pause. That’s when I started paying attention to transitions, not just as decoration, but as part of the rhythm.

Why transitions matter more than people think

In music videos, transitions are not just visual tricks. They carry timing and shape how the audience feels the beat. A well-placed cut can feel like a snare hit. A smooth motion can stretch a moment emotionally. If you’re curious, there’s a helpful breakdown of transition basics from Adobe: https://helpx.adobe.com/premiere-pro/how-to/transition-basics.html
— it explains how transitions function in storytelling, not just editing.

Experimenting with movement: small changes, big impact

I started simple. Instead of static cuts, I tried motion-based transitions—sliding frames, zoom-ins, slight distortions. That’s when I experimented with something like the Truck Transition Effect. At first, I overused it. Everything moved, everything shifted. It looked impressive but felt messy. That’s when I learned that just because something looks good doesn’t mean it belongs everywhere. Now I use motion transitions only when the music actually calls for movement.

A different vibe: playing with perspective

Later, I explored something more stylized—the Visor X Effect. It has a sharper, more futuristic feel. I tried it on a synth-heavy track and it worked well, but when I applied it to a softer piano piece, it completely broke the mood. That’s when it clicked: effects don’t define your style, your music does. Effects are just tools to amplify what’s already there.

My current workflow (after a lot of trial and error)

Now my process feels more natural. I finish the music first, then identify key moments like drops or transitions, and build visuals around them. Effects come last, and only where they make sense. I still make mistakes, and sometimes the timing feels off, but overall it’s faster and much less frustrating than before.

Tools: keeping it simple

I’ve tried a mix of tools, some too complex, others too limited. Recently, I tested VEME during a late-night session, mostly just to try out ideas quickly. It fit surprisingly well into my workflow, especially when sketching out visual timing. Nothing revolutionary, just a tool that helps reduce friction.

What I’d tell other music creators

If you’re making short videos for your music, don’t start with effects—start with emotion. Match transitions to rhythm, not trends. Accept that your early edits won’t be perfect. Most importantly, don’t treat visuals as an afterthought. They’re part of the experience, not just support.

Final thought

I still don’t consider myself a video expert, but I no longer avoid the process. Editing feels lighter now, faster, and more intuitive. Not because I mastered everything, but because I stopped overcomplicating it.

How I Hacked My SaaS Marketing Workflow

Lee Stuart — Mon, 30 Mar 2026 02:22:47 +0000

I didn’t expect this to happen. A few months ago, I was stuck in a loop that most indie hackers and solo devs know too well: spending 80% of my time building the product, and then realizing I had no idea how to get people to see it.

We all know short-form video is the meta right now. But as a developer, the pressure to make marketing content feel “real” and native is exhausting. If it doesn’t feel authentic, people scroll past. So I decided to stop treating marketing like a creative black box and started treating it like a system—rethinking my workflow so I could spend less time in front of a camera and more time in my IDE.

The Real Problem With “Authentic” Ads for Solo Devs

We all talk about authenticity, but in practice, it doesn’t scale. You either hire creators (kills your bootstrapped budget), film yourself endlessly (drains your coding energy), or repurpose content that doesn’t quite fit.

I remember reading a Nielsen report stating that 92% of consumers trust user-generated content (UGC) more than traditional advertising. That insight stuck with me. Most SaaS ads today are either boring screencasts or over-scripted corporate videos. The real question for an indie dev is: how do you scale that authentic, conversational UGC feel without killing your development time?

My Shift: Thinking Like an Engineer, Not a Marketer

This changed everything for me. Instead of starting with “What feature should I highlight?”, I started thinking in terms of variables and A/B testing. I asked, “What would a real user casually say about this tool in 15 seconds?”

I spent time studying the TikTok Creative Center and realized the algorithm favors structure (hooks, micro-storytelling) over high-production polish. That shift pushed me to build a simpler pipeline: less scripting, more natural flow, and faster iteration.

Where AI Quietly Slipped Into My Stack

I was honestly skeptical of AI for marketing at first. Most raw LLM outputs I tried (like standard ChatGPT prompts) felt incredibly “template-y.” You could tell immediately that a bot wrote it, lacking the human rhythm that makes UGC work.

Still, I needed to automate the inputs. During one of my late-night API and tool-hunting sessions, I started testing a dedicated AI UGC Ad Generator—not to replace me in the video (AI avatars still look too uncanny for me), but as a starting point to generate the blueprint. What surprised me wasn't the raw output, but how much it reduced context-switching. Instead of staring at a blank notion page, I suddenly had a JSON-like structure of multiple hooks, tones, and ad directions to parse through.

The Lightweight Tool That Stuck

I don’t usually add new tools to my stack lightly because most are bloated. But during this testing phase, I integrated something from Nextify.ai into my workflow.

What I appreciated as a dev was how lightweight it felt. There was no complicated setup. I use it basically as an endpoint for brainstorming: I feed it my SaaS features when I’m stuck, and it spits out rough UGC ad concepts. Not every output is perfect—I discard about 80% of them—but the remaining 20% give me the exact hooks I need to hit record without overthinking. It removes the initial friction.

The "Code-to-Ad" Pipeline I Use Now

If you’re a solo dev trying to get eyes on your project using short-form video, here’s the simple SOP (Standard Operating Procedure) I follow to keep my marketing time under two hours a week:

Batch Generation: Use the AI tool to generate 5-10 rough hooks without judging them.
The Output Filter: Pick the best one and "humanize" it by reading it out loud. If it sounds like an AI prompt, rewrite it until it sounds like how you'd talk on a Discord call.
Add Context: Inject a micro-story (e.g., "I built this because I hated doing X...").
Soft Exit: Avoid hard selling. Let the product feel like a cool GitHub repo they just stumbled upon, rather than a forced enterprise pitch.

Final Thoughts

I didn’t fully automate my marketing workflow—I just debugged the parts that slowed me down. AI didn’t replace the need for a founder to talk about their product; it just gave me a framework to do it faster.

For us indie developers, the goal isn't necessarily smarter marketing tools, but faster iteration and less friction. If you’re feeling stuck getting users for your app, try re-engineering your content process before tweaking your landing page again. Sometimes, that alone makes all the difference.

From “Meh” to Meaningful: Rethinking Ad Creative with AI Assistance

Lee Stuart — Tue, 24 Mar 2026 02:25:22 +0000

Ever stared at a blank canvas and felt absolutely nothing? No spark, no direction—just pressure. If you’ve worked on ad creatives long enough, you probably know that feeling. Deadlines pile up, expectations stay high, and somehow every new campaign is supposed to outperform the last one.

I’ve spent years working on advertising visuals—banners, short-form videos, social ads—and one pattern kept repeating: too much time spent trying to come up with ideas, and not enough time refining the ones that actually matter. Brainstorming sessions would drag on, iterations would stack up, and even then, performance wasn’t guaranteed.

This is where my curiosity around Ad Creative AI started—not as a replacement for creative work, but as a way to reduce friction in the process.

The Real Challenge: Translating Ideas into Visuals

One thing I underestimated early in my career was how hard it is to translate abstract messaging into visuals that actually resonate.

It’s not just about design—it’s about perception.

Colors influence emotional response
Layout affects how quickly information is processed
Visual hierarchy determines what users notice first

There’s quite a bit of research behind this. Studies published in journals like the International Journal of Advertising have shown that color selection can directly influence user trust, urgency, and even purchase intent. That aligns with what most of us see in practice—small visual tweaks can lead to measurable performance differences.

But knowing these principles and applying them consistently under time pressure are two very different things.

Where Ad Creative AI Fits In

When I first explored Ad Creative AI tools, I was skeptical. Most “AI-powered” creative tools I had seen before were either too generic or too rigid.

What changed my perspective was using these tools not as generators of final output, but as idea expansion systems.

Instead of asking:

“Can this tool create my ad?”

I started asking:

“Can this tool help me explore more directions, faster?”

That shift made a difference.

Tools like Nextify.ai, for example, can take a basic input—target audience, product description, messaging angle—and generate multiple visual variations. Not all of them are usable, and that’s fine. The value comes from range, not perfection.

Practical Workflow That Actually Helped

Here’s a simplified version of how I started integrating AI into my workflow:

Define the intent clearly

Before using any tool, I outline:
- Who the audience is
- What emotion I want to trigger
- What action I expect
Generate variations, not answers

I use Ad Creative AI to produce multiple directions:
- Different layouts
- Color schemes
- Messaging tones
Filter aggressively

Most outputs are average. I usually discard 70–80% quickly.
Refine manually

The remaining concepts get adjusted:
- Copy tweaks
- Brand alignment
- Visual consistency
Test and iterate

Instead of debating internally, I let performance data guide decisions.

This approach reduced the time spent “stuck” and increased time spent improving actual assets.

Limitations Worth Acknowledging

It’s easy to overestimate what these tools can do.

Some consistent issues I’ve noticed:

Lack of deep brand understanding

AI doesn’t fully capture tone nuances or long-term brand positioning.
Creative convergence

Outputs can feel similar, especially across different tools.
Context gaps

Without strong input, results become generic very quickly.

This is why I don’t see Ad Creative AI as a shortcut—it’s more like a multiplier, but only if the input is thoughtful.

Human Judgment Still Does the Heavy Lifting

Interestingly, using AI tools pushed me to think more critically, not less.

I found myself revisiting classic concepts like:

Visual hierarchy
Attention flow
Behavioral triggers

Principles discussed by people like Robert Cialdini (e.g., social proof, scarcity) still apply—but now the question becomes:

How do you express those ideas visually, quickly, and across multiple variations?

AI helps explore that question, but it doesn’t answer it completely.

Broader Takeaway

If there’s one thing I’ve learned, it’s this:

The bottleneck in ad creative isn’t just creativity—it’s iteration speed.

Ad Creative AI doesn’t eliminate the need for good ideas. What it does is reduce the cost of exploring them.

That alone can change how you work:

Less time staring at blank screens
More time making decisions based on real options
Faster feedback loops

It’s not a perfect system, and it’s definitely not magic. But used correctly, it shifts creative work from “guessing” to something closer to structured exploration.

And honestly, that’s been more valuable than I expected.

How I Started Making Better Ads Without a Camera (A Small Lesson From the UGC Era)

Lee Stuart — Mon, 16 Mar 2026 02:07:33 +0000

The Moment I Realized Ads Were Changing

A few years ago, making ads meant one thing: production. You needed cameras, lights, actors, scripts, editing time, and a decent budget. Even a "simple" ad could take days, sometimes weeks. But if you scroll through TikTok, Instagram, or YouTube Shorts today, something feels different. The ads that perform best often look ordinary — someone talking to their phone, a casual product demo, a quick reaction video. No studio, no big setup.

That's when I started paying more attention to the rise of user-generated content in marketing. According to Nielsen's Global Trust in Advertising report, 92% of consumers trust earned media — such as recommendations from friends and peer-style content — above all other forms of advertising (Nielsen Global Trust in Advertising Report). As someone working in advertising, that insight hit me hard. Authenticity was no longer optional. It was the strategy.

Why UGC Works So Well in Modern Advertising

The logic behind UGC is surprisingly simple: people trust people. When viewers see a polished commercial, they instinctively know it's marketing and their guard goes up. But when they see a casual clip that feels like a real experience, they watch longer. Even platforms reinforce this behavior — Meta's advertising best practices guide notes that mobile-first, creator-style content tends to outperform traditional ads in feeds because it blends naturally with organic posts.

From my own campaigns running UGC-style creatives versus traditional video ads over the past year, I've observed three consistent advantages:

Faster production cycles. Traditional video ads in my workflow averaged 5–7 days from concept to final cut. UGC-style creatives brought that down to under 48 hours, which meant I could test 4–5 variations in the time it used to take to produce one.
Lower creative fatigue. In my Meta Ads Manager data, polished ads typically saw CTR drop by 30–40% after 7–10 days. UGC-style ads maintained engagement roughly 1.5x longer before needing a refresh.
Higher engagement. Comment rates on UGC-style ads were consistently 2–3x higher than on studio-produced content across the same audiences and budgets.

But there was still a challenge: creating this kind of content at scale isn't as easy as it sounds.

The Unexpected Difficulty of "Simple" Content

Ironically, authentic content can be harder to produce than polished content. You still need variety — different creators, different voices, different styles. For a while, I experimented with hiring micro-creators. Sometimes it worked well, but other times coordination became messy. Deadlines slipped, scripts were interpreted differently, and sometimes the footage just didn't fit the campaign tone.

That's when I started exploring tools designed for a UGC Creator workflow — not in the influencer sense, but in the "rapid ad testing" sense. The market for these tools has grown significantly, and I ended up testing several platforms to compare their strengths.

Tools I Tested for UGC-Style Ad Creation

Here's a honest comparison of the platforms I experimented with over the past six months:

Tool	Best For	Limitations	Price Range
Nextify.ai	Fast short-form UGC Creator clips, quick iteration	Limited long-form capability, smaller creator library	Mid-tier
HeyGen	AI avatar videos, multilingual content	Can feel robotic, less "authentic UGC" feel	Mid-to-high
Creatify	URL-to-video ad generation	Less control over creative direction	Mid-tier
Synthesia	Corporate/training style videos	Too polished for native social feel	Higher-tier
Real micro-creators	Maximum authenticity	Slow coordination, inconsistent quality	Varies widely

For my specific use case — testing multiple short-form ad angles quickly — Nextify.ai ended up fitting best because the turnaround speed let me run more experiments per week. But I still use real creators for hero campaigns where genuine authenticity matters most. No single tool replaces a thoughtful creative strategy; they just change the speed of iteration.

Disclaimer: This is not a sponsored post. I paid for all tools mentioned and am sharing based on personal experience.

What I Learned About Modern Ad Creatives

Using these tools also made me rethink something important about advertising. The future of ad creatives isn't about perfection — it's about iteration. The faster you can test ideas, the faster you discover what works.

This aligns with a principle often discussed in growth marketing: rapid experimentation. Stefan Thomke's research, published in Harvard Business Review, found that companies running large-scale online experiments — sometimes thousands per year — consistently outperform those relying on a few big bets (Thomke, S. "Building a Culture of Experimentation," HBR, March–April 2020).

When applied to advertising, the concept becomes clear: instead of one expensive ad, you test twenty smaller ideas. Most fail. A few work. Those winners become your scalable campaigns. In practice, my workflow now looks like this — generate 8–10 creative variations on Monday, launch them as small-budget tests ($5–10 each), kill underperformers by Wednesday, and scale the top 2–3 by Friday.

Why the UGC Style Isn't Going Away

Some marketers still think UGC-style ads are just a trend. I disagree — the shift is structural. Short-form platforms reward authenticity, algorithms favor content that feels native, and audiences increasingly value relatability over production value. TikTok's own creative guidance explicitly advises brands to "make TikToks, not ads," noting that creator-style content sees higher completion rates and engagement on the platform.

For marketers, this means creative strategy needs to adapt. Less polish, more personality. Less scripting, more storytelling.

My Current Rule for Ad Creation

These days I follow a simple rule when producing ads: if it looks like an ad, it's probably too polished. The best performing videos often feel like something a friend recorded and posted casually. That doesn't mean strategy disappears — it just moves behind the scenes. Hooks become more important, story structure gets tighter, and testing becomes constant.

Whether you're working with a UGC Creator network, filming with your own phone, or using generation tools like Nextify.ai to speed up iteration, the underlying principle is the same: optimize for authenticity, then let the data decide what scales.

Final Thoughts

Marketing keeps changing, but one principle stays the same: people respond to authenticity. UGC-style ads work because they feel human, unscripted, and believable. Whether you're filming with a phone, working with creators, or experimenting with new creative tools, the goal is still the same — make something that doesn't interrupt the feed, make something that belongs in it.

If you're running paid social campaigns, I'd genuinely encourage you to test UGC-style creatives against your current top performers. The results might surprise you. And if you've already been doing this, I'd love to hear what tools or workflows have worked for you in the comments.

How I Hacked My SaaS Marketing Workflow with Virtual Avatars (So I Could Get Back to Coding)

Lee Stuart — Mon, 09 Mar 2026 03:40:37 +0000

Building the product is the fun part. Telling the world about it? That’s where I usually hit a wall.

If you’re an indie developer or building a SaaS on the side, you know the drill. You spend your weekends shipping features, only to realize you need to make TikToks, Reels, or YouTube Shorts to actually get users. For a while, I tried doing the whole "founder building in public" video routine. Setting up the camera, doing multiple takes, editing—it completely drained the energy I needed for writing code.

The math simply didn’t work. According to research from the Pew Research Center, frequent posting strongly correlates with audience growth on social platforms. The algorithm demands consistency, but my GitHub commits were dropping because I was busy tweaking video edits. I needed a way to scale my marketing without burning out.

That’s when I started looking into programmatic marketing and virtual creators.

I didn't want to learn complex 3D animation or Unreal Engine just to make a quick promo video. Instead, I started exploring tools broadly categorized as an AI Influencer Generator. Rather than modeling a character from scratch, these platforms let you generate a consistent, realistic digital persona that can speak your scripts. Analysts at Gartner have recently pointed out that digital humans and synthetic media are becoming standard components in mainstream marketing ecosystems. For a solo dev, this sounded like the perfect leverage.

I decided to treat this like setting up a new frontend for my marketing pipeline.

Here is how my workflow evolved: Instead of setting up a ring light every time I pushed a new feature, I’d just write a conversational script about the update. I’d then feed this text into the avatar platform. While testing the waters, I used Nextify.ai for some of these quick experiments, though there are several tools emerging in this space. Within minutes, I had a polished video of a digital "co-founder" explaining the new feature to my users.

What surprised me wasn't just the tech—it was the speed. I could test different hooks, explain complex technical features simply, and maintain a consistent visual brand without ever stepping away from my IDE.
But here is the reality check: you can’t just automate everything and walk away.

The balance between human and AI is crucial here. The AI handles the presentation layer, but the core message still requires human authenticity. If your script sounds like a robotic press release, the video will flop. I found that I still needed to inject my own developer struggles, the annoying bugs I finally fixed, and genuine enthusiasm into the text. Interestingly, studies on digital identity published by researchers at Stanford University suggest that audiences can build strong connections with consistent digital avatars, provided the underlying interactions feel meaningful. The avatar is just the messenger; the value comes from what you are actually building.

For the indie hacker community, time is our most constrained resource. The biggest lesson I learned from this experiment wasn't about video production; it was about removing friction.

When the barrier to producing marketing content gets lower, you actually do it. You don't have to wait for the perfect lighting or a good hair day to announce a feature. You just generate and ship.

I’m still tweaking this workflow, and it might not be for everyone. But if marketing feels like a chore that's taking you away from coding, exploring AI-assisted virtual creators might just give you the bandwidth you need to keep your creative engine running.