Expertex - The Unified AI Studio for creators and brands.

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Expertex is a Unified AI Studio that brings the latest AI models into one seamless workspace. Instead of switching between tools, subscriptions, and extra costs, everything is available in one place. Generate images and videos, use voice tools, and chat with multiple models at once with unlimited access on one subscription. Today we’re launching our new Prompt Builder to help users structure, refine, and improve their AI prompts instantly. We’d love to hear your feedback and thoughts.

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Hi Product Hunt 👋

We started Expertex because creators were overwhelmed by switching between AI tools and paying extra for every new model update.

Our goal is simple:
One unified AI workspace.

Today, we're introducing our Prompt Builder - designed to help users structure better prompts and get stronger outputs instantly.

And if you see this product so you're lucky! We offer an exclusive 50% OFF promo code: ProductHunt50 for the first month on (Premium, Ultra, and Professional) packages.

This is just the beginning.
We’re building something much bigger.

Would love your honest thoughts and feedback 🙌

Hi Product Hunt

I'm Ahmed, co-founder of Expertex. We built Expertex as a Unified AI Studio because creators and teams kept switching between tools and paying extra every time a new model appeared. Today we're excited to introduce our Prompt Builder, designed to turn rough ideas into structured prompts that actually produce better results. We'd really love your honest feedback and suggestions.

From a technical perspective what I appreciate here is the structured approach to prompts instead of pure trial and error. It’s interesting seeing tools evolve around prompt optimization as AI usage grows. Looking forward to seeing how people here use it.

Appreciate that perspective Abdelrahman. We also noticed most people rely on trial and error, which wastes a lot of time. The goal with the builder is to guide that structure without making it complicated.

Prompt engineering is still pretty messy for most users. Tools like this that guide the structure could save a lot of experimentation time. Curious if you’re planning templates for different industries as well.

That's a great point Ahmed. Templates are definitely something we're exploring, especially for creators, marketers, and developers. Are there specific industries you think would benefit the most from structured prompts?

One thing that caught my attention is how the builder organizes prompts step by step instead of just generating a block of text. That could actually help new AI users understand what makes a prompt effective.

Exactly Aya! One of our goals was to make prompt logic visible so users understand why a prompt works, not just copy one. Glad that part stood out.

I like the idea of reducing prompt guesswork. Do you see this mainly helping beginners or more advanced users who are constantly refining prompts for better outputs?

Great question Doaa. We designed it to work for both actually — beginners get guidance while advanced users can structure prompts faster. Curious where you see yourself on that spectrum.

Prompt workflows are still very manual for most teams. A structured builder could make experimentation much easier.

 
Thanks, Shereen! That’s exactly the problem we kept seeing. Teams were experimenting manually without much structure. Hopefully this helps simplify that workflow.

Clean idea. Prompt structure is something people underestimate when working with AI tools. Curious how the builder handles different use cases like content vs. visuals.

 
Thanks Hassan! Different use cases are definitely something we're thinking about. Right now, we're focusing on flexibility so prompts can work across different AI tools.

Nice work on the launch. Prompt experimentation is still something people struggle with, so tools guiding the process make sense.

 
Appreciate it Somaya! Prompt experimentation is still evolving quickly, so we're excited to keep improving the builder based on feedback like this.

Prompt engineering keeps evolving quickly. I'm curious whether the builder adapts based on model differences or if the prompts are designed to stay model-agnostic.


Interesting question Mahmoud. For now, we're aiming for prompts that stay flexible across models, but adapting to specific models is something we're exploring as well. 

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