Dessix

@jojo_li 

Regarding Gemini and Atlas, Dessix's core competitive advantage in "workflow and context handling" lies in these key areas:

1. Visual Context Alignment: Dessix's "what you see is what AI sees" visual workspace ensures the AI natively understands your layout and connections, eliminating the "black box" effect and aligning human-AI perspectives.

2. Dynamic Context, Instant Impact: Any change you make to your visual workspace is immediately reflected for the AI, maintaining a fluid thought process without re-uploading or repetitive explanations.

3. Knowledge Base as Living Context: Your entire Dessix knowledge base serves as the AI's background context. It automatically leverages your accumulated insights for deeper, more relevant collaboration.

4. Multi-Step AI Agents: With the "Dessix Magician," you can easily build complex, multi-step AI agents using simple descriptions, transforming AI into a powerful planning and execution partner.

Dessix empowers you to be a "thought designer," accelerating creation and expanding cognition through seamless human-AI collaboration.

@jojo_li To be honest, we can't compete with giants like Chrome or Atlas on general capabilities.

The biggest difference lies in Definition and Transparency. In Dessix, YOU define who you are and what context matters. You know exactly what the AI knows because everything is "White-box"—visible and editable by you.

We offer total control, not just "black box magic." That is our edge.

Hi @cruise_chen !

Glad you noticed the "logic-first" approach! Dealing with endless prompts is indeed exhausting, and that's exactly why we built Dessix.

To your question on Alignment: We don't treat alignment as magic; we treat it as an engineering problem. We achieve it through Constraint and Transparency:

1. Visual Alignment ("What you see is what AI sees"): We map your visual focus directly to the AI's context window. If you focus on a specific Block (and its parallel references), that becomes the hard boundary for the AI's attention. You don't need to describe the context; you just need to "place" it in front of you.

2. Procedural Alignment (Actions & Scenes): This is where the "logic" you mentioned comes in. By encapsulating your intent into Actions (workflows) and Scenes (roles/rules), you are effectively "programming" the AI's behavior. This forces the model to align with your specific methodology rather than relying on its general probability distribution.

In short: We achieve alignment by giving YOU total control over the input structure, rather than hoping the model guesses right.

Thanks for the support

@alexcloudstar 
That’s a perfect use case! Many users are actually using it right now for their Year-End Reviews—just laying out their projects side-by-side to chat. No need to manually select context; what’s on screen is what the AI uses.

You are spot on about the constraints. That is a deliberate design choice: using the physical limits of the screen to enforce cognitive focus. It’s a fascinating way to keep both the human and the AI aligned.

Hope it helps with your research brief!

@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.

@cathcorm Thanks for the congrats!

To be transparent about the technical side: Currently, our data import/export is primarily based on Markdown. We don't support iframe embedding at this moment.

However, regarding deployment—we fully support PWA, so you can install and use it natively on your devices.

@joeyzhang Wow, word-of-mouth is the best compliment! Please pass on my thanks to your friend. Great to see you here.