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To the AI creatives:
I remember when AI became a sensation a few years ago. Everyone was amazed by the realistic quality and the infinite possibilities for creation. It was new, exciting, fun—but also intimidating.
Fast-forward to today. Even though its popularity has grown and the technology has improved significantly, I've realized that many people who are not experienced with these tools have developed certain expectations about them.
AI = Fast = High Quality = Cheap
No.
Yes, tools like Nano Banana, Kling, and Seedance can produce impressive results, but don't forget that behind those results is a person sitting at a computer, iterating over and over and over again until they find that "perfect" final image.
I've had bad experiences with clients who think that just because I'm using AI, I should charge less.
"You use AI. You can do it in 20 minutes. Why are you charging so much?"
Well, what about the credits? What about post-production in Photoshop and Lightroom when needed? What about the constant back-and-forth to match branding guidelines and client feedback?
Those minutes and hours count too—not just the speed of Higgsfield, Kling, or ComfyUI.
And what about our hardware? Our storage drives? Our electricity costs? Our subscriptions?
Know your value.
Just because you're using AI doesn't mean you're an emotionless robot working nonstop, generating endless iterations for cheap dollars.
Take your time. Trust your process. Don't fall for the "it's instant and effortless" narrative that many content creators promote—or that some clients expect.
Plan your work. Define your goals. Sometimes a single image can take hours to get right.
If a client thinks that because something is generated quickly it should automatically be cheap, the answer is still:
No.
Know your value. Have a detailed understanding of how much you spend on credits, software, hardware, post-production, and revisions.
Clients are paying for results, experience, taste, creative direction, problem-solving, and the countless hours you've invested in mastering these tools—not just for the seconds it takes an AI model to render an image.
Peace.
Love this!
Lately, I’ve been diving deep into Cursor, Claude, and AI agents.
Instead of just watching tutorials, I decided to learn by building something myself — a Figma plugin from scratch. There are already plenty of similar solutions out there, but my goal was to understand the entire creation process, from idea to a working product.
And here’s the result: I went from zero knowledge to a functioning plugin in just two days.
The plugin already helps identify issues in design files and highlights things that are easy to miss during day-to-day work. Of course, I’m still not 100% satisfied with it — there’s always room for improvement. But for a first attempt, I’m pretty happy with the outcome.
The most exciting part is that while building it, I started coming up with new ideas for Design System automation: naming conventions, component structure, style organization, and other repetitive tasks that could be streamlined with AI.
Looks like this is just the beginning 😄
Tech stack: Cursor, Claude, ChatGPT, and the Figma Plugin API.
For now, here’s a look at what I’ve built so far 👇
Wowww, great job 😍 Intrigued for part 2! You know, your approach to testing things yourself (from scratch!) reminded me the Tumblr times back in idk 2012-2014 maybe when everyone was photoshopping pics, memes, gifs etc. and I created my own "colors" (layers with different image...
Okay, it's been way too long since I posted anything here 😅
So here's a small challenge for myself: I'll try to share something I've been working on every day (or at least every other day). No pressure, just showing the process, experimenting, and hopefully improving along the way.
Constructive criticism, advice, and recommendations are more than welcome. Always happy to learn from others 💜
P.S. Just some experiments with Kling AI image-to-video, which honestly ignores prompts and does whatever it wants. Am I the only one experiencing this?
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