Over the past year I tested a lot of AI tools.
Image generators, video tools, text models, sound generators — dozens of them. The problem wasn’t finding powerful tools.
The problem was constantly jumping between different websites.
One tool for images.
Another for video.
Another for text.
Another for sound.
After a while I realized something simple: AI tools are powerful, but the workflow around them is messy.
That’s when I discovered Syntex AI, which basically acts as a hub where many AI tools are collected in one place. Instead of opening 10 different sites, you can access multiple tools from one interface.
That small change alone simplified my workflow a lot.
But tools themselves are only part of the story.
The real improvement came from changing how I actually use AI.
Step 1 — Stop trying every new AI tool
At one point I had bookmarks for 30+ AI tools.
Image generators
Video generators
Text tools
Voice tools
Most of them were interesting.
But the truth is simple:
You don't need dozens of tools. You need a small stack that works together.
My core workflow now looks like this:
• Nano Banana AI — for generating visual concepts
• Runway ML — for quick video ideas and motion tests
• text models for brainstorming and structuring ideas
That's it.
Three types of tools instead of thirty.
Step 2 — Use AI for the beginning, not the end
A mistake many people make with AI is trying to generate the final result.
But AI is actually much better at something else:
starting the process.
For example:
When beginning a new project I usually need:
• visual directions
• mood ideas
• composition concepts
Before AI this stage took hours of searching references.
Now I open Nano Banana AI, describe the atmosphere and style, and generate several starting concepts.
Not final designs.
Just directions.
That alone saves a lot of time.
Step 3 — Turn static ideas into moving concepts
Sometimes clients struggle to imagine how something will look in motion.
Explaining it with text doesn't work well.
So I started doing something simple.
I generate a visual concept first, then load it into Runway ML and describe movement:
• camera motion
• lighting changes
• environmental effects
In about 10 seconds the tool generates a short clip.
Again — not a final video.
But it communicates the idea instantly.
And that often makes conversations with clients much easier.
Step 4 — Reduce friction between tools
The biggest productivity killer isn't lack of tools.
It's friction between them.
Different accounts.
Different interfaces.
Different workflows.
After trying many setups I started using a platform where several AI tools are available in one place.
Instead of opening five websites, I can switch between tools inside the same workspace.
It sounds like a small thing.
But small things compound.
And over time that saves a surprising amount of time.
Final thought
AI won't magically do your work.
But it can remove a lot of the slow, repetitive steps around the work.
Searching references.
Testing visual ideas.
Trying quick motion concepts.
And once those parts get faster, the interesting part of the work becomes much bigger.
At least that's what happened in my case.
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