Dessix
Visual workspace to capture, organize, and create with AI
659 followers
Visual workspace to capture, organize, and create with AI
659 followers
Dessix is a logic-first visual space for deep creators. Instead of wrestling with prompts, you build context visually, making AI an extension of your own thinking. Achieve true alignment—you know what the AI knows, and it grasps your goals. Ditch the black box, accelerate your creation, and finally, take control.
So glad to see Dessix LANDED on ProductHunt, a product that truly understands user needs.
Dessix
@janette_szeto Thank you! That means a lot.
We've found that University Professors and Founders/CEOs resonate with us the most. They require fine-grained control over their context to minimize hallucinations and ensure precision.
We've dedicated a long time to getting this right. It’s great to see that once users experience this level of control, they don't want to go back.
Dessix
@lizzieyuan2025 Thanks for the 10/10!
You are absolutely right. Since models already know "everything," our job as humans shifts to building our own cognitive paths and context.
Our goal at Dessix is to leverage the model's power to enrich our cognition and cover our blind spots. That is the real meaning behind "Logic-First" and "Visual Context"—it's not just UI, it's about making AI serve your specific thought structure.
Triforce Todos
Context transparency is the missing layer in most AI tools. Dessix feels like a much more honest way to collaborate with AI. Congrats on the launch:)
Dessix
@abod_rehman Thanks a lot! "Honest" is the best compliment we could receive.
We truly believe that trust comes from transparency—knowing exactly what the AI is looking at changes the whole dynamic of collaboration.
Glad you resonate with this!
A friend recommended this to me, and now it's on producthunt! love to see it.
Dessix
@joeyzhang Wow, word-of-mouth is the best compliment! Please pass on my thanks to your friend. Great to see you here.
FunBlocks AIFlow
Amazing product! It's great to have a product concentrate on the context crafting!
Dessix
@peng_wood Thanks! That is exactly our core philosophy.
We've realized that for specific tasks, you don't actually need to feed AI massive amounts of data—it already knows the public knowledge. The key is "Aligning the Train of Thought."
Visual Context ensures that what the AI focuses on is exactly what you are focusing on. To us, that alignment is the most important thing.
X-Design
Honestly, the linear chat interface has been the biggest bottleneck for complex workflows. Trying to maintain state across a long conversation is a headache. If this actually lets me branch out ideas without losing the root context (or having to copy-paste into a new thread), it solves a real problem. Does the "logic-first" part mean I can define strict constraints for specific nodes in the workflow?
Dessix
@tony_hsieh2
Thank you for your insightful questions! Your query regarding Dessix's "logic-first" philosophy and whether it allows for defining strict constraints for specific nodes in a workflow goes right to the heart of our product design.
The answer is: Absolutely!
Dessix achieves this through the following:
Visualized Context: By arranging your notes and resources side-by-side in a multi-column space, you are intuitively building a clear and structured context for the AI. This ensures the AI accurately understands the information at each node, moving beyond the information loss common in linear chat interfaces, and establishing a precise logical foundation for AI's thinking.
"Actions" and "Scenes": These are the keys to implementing strict constraints. "Actions" allow you to define specific tasks and execution logic for the AI (e.g., limiting summary formats). "Scenes" provide a broader context and role-setting for the AI, ensuring it thinks and responds within predefined boundaries, offering fine-grained control and guidance for each node in your workflow.
Through these designs, Dessix transforms AI from a "black box" into a transparent, controllable thinking partner. You can not only branch out ideas without losing root context but also define clear logical boundaries and execution rules for each branch, achieving truly controllable, efficient, and rigorous human-AI collaboration.