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Final Chance to Get ChatGPT Course for $0.99
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☺️ Happy Friday 👋
Welcome to AIChief, the largest AI tools directory for finding what actually works. Early in the year, it’s easier to tell what’s actually helping and what’s just in the way.
That’s the lens for today.
We’re breaking down how creators are simplifying AI video workflows, and why some AI motion feels solid while other clips fall apart.
Also, we’re explaining why getting the fundamentals right with tools like ChatGPT matters more now than later, especially while there’s still a small window to do it properly (yes, at 95% off).
A few ideas worth taking into next week.
Let’s get into it 👇
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⏰ Limited-Time Offer ⏰
One quick note before you close the week.
The 95% discount on
ChatGPT 101: A Practical Beginner’s Guide
is ending soon, and this price won’t be repeated.
This course isn’t about tricks or prompts you’ll forget next week.
It’s about learning how to actually control ChatGPT, so your results stop feeling random.
Inside, we focus on:
How to structure prompts so ChatGPT understands intent
How to get clear, repeatable outputs (not guesswork)
How to use ChatGPT for writing, research, and daily productivity
The course normally costs $20.
Right now, it’s $0.99 for a limited time.
AI Short Clips Generator | Benefits |
Fast, creative visuals. | |
Find the best moments fast. | |
Fun, unique “chaotic” style | |
Easy, stylish edits, sound sync | |
Auto-finds highlights, captions |
If your AI video feels inconsistent, it’s usually not the prompt; it’s the expectation that one model should do everything.
This workflow shows how creators are simplifying things by using one platform (OpenArt) and switching models depending on the shot:
Instead of over-prompting, the real advantage is knowing when to switch tools.
Two practical tips worth copying:
Use Auto-Enhance to turn simple ideas into cinematic prompts without prompt engineering
Start with image-to-video for control, subtle motion beats chaotic results
Think of it less as “one magic AI” and more as a toolbelt you already know how to use.
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When AI videos feel jittery or inconsistent, it’s usually not the prompt; it’s how time is handled between frames.
Creators are fixing this using WAN 2.2’s Motion Scale node in ComfyUI, which lets them control the sense of time inside the generation itself.
What they’re doing differently:
Setting Scale t ≈ 1.5 to stabilize motion without breaking consistency
Avoiding extreme values (2.0+) that cause jerky movement
Running it in high-noise only to prevent artifacts
Instead of “fixing motion in editing,” they’re controlling it at generation time, which makes clips feel cleaner and more intentional.
That one adjustment is often the difference between floaty AI motion and something actually watchable.
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Our audience is interested in:
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Email [email protected] with the subject line “AIChief”.
P.S. AI tools will keep changing. The advantage usually comes from the opposite move: fewer tools, clearer workflows, and getting the fundamentals right early.
Whether it’s simplifying how you make videos, fixing motion at the source, or learning how to guide ChatGPT with intent, the small decisions you make now tend to shape everything that follows.
Save what’s useful. Ignore the rest.
We’ll be back with more next week.
AIChief
As today’s newsletter comes to a close, we hope these AI insights empower you to step into the upcoming week with clarity and ease. Don’t forget to share your favorite finds with friends, family, and colleagues! 🌿✨
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See You Soon!
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