Your new AI workplace: 10 helpful functions

Welcome to the future of visual collaboration.

You already know DEON as a powerful platform for your 'heavy load' of data and visual collaboration. With the new AI integration (DHI) and the DAIA assistant (DEON AI Assistance), your workspace transforms from a passive work surface into an intelligent partner.

This overview presents you 10 helpful functions for your daily work.

By the way: You can find an overview of the DAIA control elements here:

1. Semantic Project Query (Knowledge Retrieval)

What is this?
You can ask the DAIA assistant questions about the contents of your entire DEON project. The AI not only analyzes texts, but also understands the context of unstructured data collections that you have placed on the board.

What is it good for?
It saves massive research time. Instead of sifting through hundreds of documents, e‑mail screenshots or notes, simply ask the AI for the information you are looking for.

Practical example (HR):
An employee changes departments and has his knowledge (Übergabeprotokolle, email threads, process diagrams) unstructured on a DEON board „emptied“. A new Key Account Manager simply asks: „What are my tasks and responsibilities as a Key Account?“ and receives a precise summary from the scattered information.

Operation:

  • Open the DAIA Panel (on the right in the menu).
  • Make sure that the project has been analyzed (click on the "brain" symbol if it is red or if DAIA prompts you to do so).
  • Type your question in the chat field and send it.

2. Visual Grounding (Source Referencing)

What is it?
The AI not only provides an answer but also delivers interactive reference buttons (links) to the exact locations within the project.

What is it good for?
It prevents „hallucinations“ and builds trust. You do not have to rely on the black box, but can verify any information immediately in the original context.

Practical example (Technical development):
You ask for the price of a specific component (e.g., „What does the AS5600 cost?“). The AI provides the price. By clicking the reference, DEON instantly zooms to the location on the board – for example, an embedded Excel spreadsheet or a PDF specification –, where this price is listed.

Operation:

  • Ask a question in the DAIA Panel.
  • Click on the reference buttons in the AI's response below.
  • The Workspace automatically zooms to the corresponding location.

3. Deep Web Content Analysis

What is it?
DEON's AI kernel can read, understand, and incorporate content from embedded web browsers (e.g., MS Web Apps, Google Sheets, Jira, intranet pages) into its responses.

What is it good for?
You can ask questions about data that are not physically in the DEON project but are only linked via a browser. This connects silos.

Practice example (product development):
You have embedded a web table with bill of materials as a web browser in DEON. You ask the AI: “Which component is the most expensive on the list?”. The AI extracts the data live from the browser view and answers the question without you having to import the file.

Operation:

  • Drag and drop a URL (e.g., Jira board or MS Web App) into the workspace or paste it from the clipboard (Ctrl+V).
  • Ask a question in the DAIA panel that relates to the content of this webpage.

4. Visual Viewport Analysis ("The Eye")

What is this?
You allow the AI to exactly “see” what you currently have on your screen (viewport). The AI analyzes the visual image including diagrams, sketches or technical drawings.

What is it good for?
Perfect for understanding complex technical representations, diagrams or unlabeled graphics.

Practical example (engineering):
You zoom in on a photo of a complex test setup (e.g., a test bench for actuators). You activate the „Eye“ and ask: „Explain this setup to me“. The AI describes the components (Load Cell, actuator etc.) and their function based on the image and taking into account the further knowledge within the project.

Operation:

  • Zoom in on the area you want to analyze in the Workspace.
  • Click on the eye icon in the DAIA panel.
  • Enter your prompt (e.g., 'Explain that').

Collaborative AI Discussion

5. Graph Chat (Discussion in Workspace)

What is it?
The chat history with the AI is freed from the narrow sidebar window and mapped as a visual network of text nodes and connection lines directly on the infinite, collaborative DEON workspace.

The key benefits:

  • Overview instead of „Scroll-Desert“:
    While using conventional chat tools, you lose the overview in long discussions, here you use the zoomable DEON workspace. You can zoom out to see the entire argument chain, or zoom in to read details.
  • From chat to content (Seamless further processing):
    The chat bubbles are not static texts, but fully editable, native DEON elements. You can format the AI's answers directly, shorten them, combine with other content or group them.
  • Collaboration:
    The conversation does not take place in a private window, but on the board. If you share the board with other people, the entire team can follow the discussion live.
  • Present results directly:
    Since the chat nodes are DEON objects, you can simply highlight the result of a research and immediately export it as an editable PowerPoint slide or PDF.
  • Persistence:
    Your graph chats remain in the project. You can continue the conversation at any point in the tree structure deliberately.

Practice example (Market research & Reporting):
A team develops market trends for 2025. Instead of painstakingly copying AI answers from a chat window into a presentation, they let the discussion emerge as a graph on the board. The team deletes irrelevant nodes, highlights the most important insights in color, adds images and exports the final strand directly as a finished slide.

Operation:
  • Enable Graph Chat: Click at the top of the DAIA panel on the Graph-Chat icon. Your ongoing or new conversation now appears automatically as a chain of text boxes directly on the board.
  • Further processing of results: Since the chat bubbles are native DEON elements, you can freely move them via Drag & Drop, reformat or add further content.
  • Export: Select the desired chat nodes on the board and select in the context menu (right‑click) „Share/Export“, to convert the discussion thread directly into an editable PowerPoint file or a PDF.

6. Conversation Branching

What is this?
You can at any point of an existing graph‑chat „branch“ (create a branch). Simply click on an older answer in the graph and pose a new question – it visually grows a new branch from the discussion tree.

The key benefits:

  • Perfect „Prompt Hygiene“ (Context Purity):
    If you switch topics in a linear chat, „verwässern“ the AI’s context (the Context Window). Through branching, the main thread stays clean and focused, während you Nebuschauplätze in isolated Ästen klären.
  • Wissensbäume instead of linearer Fäden:
    You können complex problems systematically aufdröseln. One branch deepens technical details, another klärt legal questions, a third handles costs – everything starting from the same start point.
  • Quick context-Sprünge:
    By simply clicking a node in the graph, the chat panel instantly jumps into the context of this specific Gesprächs thread zurück.

Practical example (Technical development):
An engineer discusses in the main thread the operation of a „Load Cell“. The detailed question „What material is the strain gauge made of?“ is clarified in a side branch geärt. After this is completed, he clicks zurück to the main path and continues discussing ungestört further über the signal electronics.

Operation:
  • Select start point: Click on any node (a previous question or answer) within your existing graph chat directly on the board. The DAIA panel now jumps exactly back to this point in the conversation flow.
  • Create branch: Type your new detailed question in the DAIA panel and submit it. From the selected node, a new branch now visually grows for this conversation thread. Alternatively, you can also select and modify a previous question to generate a new branch.
  • Jump between strands: To return to your original main strand or another subtopic, simply click on the corresponding node in the respective branch on the board. The chat panel immediately switches context and you can continue discussing there undisturbed

AI-supported Productivity

7. Integration of agent systems

What is it?
DEON acts as a bidirectional, visual interface für external agent systems and automation platforms such as n8n, Zapier, Make or autonomous AIs. Über an optimized REST-API as well as the token-efficient DEON CLI tool combined with text-based Skills (SkillsMD) these systems can be seamlessly integrated into DEON. External agents können thereby query unstructured knowledge from DEON projects (via Retrieval API für AI grounding) and autonomously place results in the form of texts, images or color markings directly in the workspace and verändern.

What is it good for?
It closes the gap between automated AI background processes and human decision-making. Instead of painstakingly aggregating data manually from databases or logs, DEON through the connected agents transforms into a self-updating situational view („Self-Building Dashboard“). The autonomous systems do the preparatory work and visually curate complex data, while you as the user retain full overview and decision control („Human in the Driver Seat“).

Practical example:
An external monitoring system reports the failure of a server component. A connected n8n agent workflow is triggered and uses the DEON API to precisely mark the affected server symbol in the architecture diagram on your DEON board in red. At the same time, the agent places the relevant error logs as text cards directly next to it. When your team enters the virtual „War Room“ (the DEON board), the error diagnosis is already visually prepared and everyone can immediately collaborate on the solution.

Operation:
  • Authentication: Generate in your DEON account management a permanent API token and store it securely as an environment variable (Bearer token) in your agent's system.
  • Define target elements: Über the context menu of an object in the DEON workspace you can copy the exact project ID and element ID under „API URLs“ with just one click.
  • Execute actions: Übergeben these IDs to the HTTP nodes of your agent (e.g., in n8n) or use the local DEON CLI tool so that the agent can query the contents in your project precisely, überschreiben or create new elements

8. Generative Content Creation (Image & Text)

What is it?
Creation of new content (images or text) directly on the board, based on prompts or existing elements.

Wofür is it good for?
Fast prototyping, visualization of ideas or creation of variations.

Use case (Design/Marketing):
You have an image of a robot on the board. You select the image and tell the AI: „Create a äsimilar image, but with more blue accents“. The AI generates the new image and places it directly next to the original.

Operation:

  • Select an element (image or text) in the workspace.
  • Enter your request in the DAIA panel (e.g., “Create a variation of this” or “Translate this”).
  • The result is placed in the workspace.

9. Semantic Context Recognition

What is this?
The DEON AI kernel understands that items that are visually close together belong together, even if they are not formally grouped. It reads the „Layout“ like a human.

What is it good for?
You do not have to structure your boards perfectly for the AI to understand them. Free work is supported.

Practical example (Management):
You have placed a heading “Goals until 2030” loosely over a textbox. The AI automatically understands that the content of the textbox are the goals until 2030, even if the word “Goals” does not appear in the separate textbox below.

Operation:
This works automatically in the background. You only need to arrange your content logically on the board, as you would for a human viewer.

10. Export of AI results

What is this?
Since all AI interactions (Graph Chat, generated texts) are native DEON elements, they can be formatted and exported directly into editable formats (e.g., PowerPoint, PDF, or ODP).

What is it good for?
Seamless transition from analysis to presentation. No more copy‑paste chaos.

Practice example (Reporting):
You have worked with the AI on a complex analysis that is displayed as a Graph Chat on the board. You draw a frame around it, briefly reformat the boxes and export the selection as PowerPoint. You receive an editable slide with the results für the management meeting.

Operation:

  • Select the AI results (e.g., the chat tree) on the board.
  • Click on Share/Export in the context menu.
  • Select the desired format. The elements remain editable in PowerPoint (not a screenshot!).

DEON Holistic Intelligence: Your workplace that thinks along.

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