AI app for it and development · no coding needed
Source-linked multimodal document and screen assistant
Reduce manual cross-referencing while keeping answers tied to their source.
Made for: IT and development teams that process images, documents and screen content together
What it does for you
The problem
Visual and textual material sits in separate tools, so teams cannot answer questions or generate content from combined evidence.
What it gives you
Reviewed source-linked answers and generated content with citations and coordinates
What you give it
Permitted imagesdocumentsvideo framesscreen capturestext sources
Build your own version of DeepSeek-VL2, InternVL3 and more
One app with what these 10 AI tools do, yours to keep and change: DeepSeek-VL2, InternVL3, Skywork-R1V, Janus, NVLM 1.0, Molmo 2, Ferret, Qwen 2.5, Llama 3.3 70B, Phi-4-reasoning-vision.
Everything these tools do, in one app
- Multimodal understanding Combines visual and textual data to analyze and interpret content together.Found in DeepSeek-VL2, Janus, NVLM 1.0 and 2 more
- Image recognition Identifies and interprets objects, scenes, and details within images.Found in DeepSeek-VL2, Janus, NVLM 1.0 and 1 more
- Language understanding Comprehends and processes natural language text for accurate responses.Found in DeepSeek-VL2, Qwen 2.5, Llama 3.3 70B and 2 more
- Text generation Produces coherent and contextually appropriate written content.Found in Qwen 2.5, Llama 3.3 70B, Janus
- Multi-turn conversation Maintains context over extended back-and-forth interactions.Found in Qwen 2.5
- Video analysis Processes multiple frames or video clips to understand events over time.Found in Molmo 2
- Spatial pointing and tracking Returns coordinates and timestamps for objects or events in visual media.Found in Molmo 2
- Event-level answers Provides answers linked to specific instances in time and space, such as counting occurrences.Found in Molmo 2
- AI-driven search Extracts precise answers from diverse content sources using AI.Found in Ferret
- Document summarization Condenses lengthy documents to highlight key points.Found in Ferret
- Multiple content type support Handles various input formats like websites, PDFs, and databases.Found in Ferret, DeepSeek-VL2
- Customizable workflows Adapts processes to fit different industry or project needs.Found in DeepSeek-VL2, InternVL3, Skywork-R1V
- Real-time processing Delivers immediate data interpretation and updates.Found in DeepSeek-VL2, Skywork-R1V
- Open-source availability Provides free access to model weights, code, or data for customization and community contribution.Found in Janus, NVLM 1.0, Molmo 2 and 1 more
- High-resolution input handling Processes high-resolution images or screen content effectively.Found in Phi-4-reasoning-vision
- GUI and screen agent optimization Tailored for tasks involving graphical user interfaces and screen automation.Found in Phi-4-reasoning-vision
- Adaptive processing Switches between fast perception and deeper reasoning based on task complexity.Found in Phi-4-reasoning-vision
- Integration with third-party tools Connects with external apps and services for enhanced workflow.Found in Skywork-R1V, Ferret
How it works, step by step
- Ingest images, documents, video frames and screen captures
- Recognize objects, scenes and details in visual inputs
- Understand natural language text alongside visual content
- Generate coherent written content from combined evidence
- Maintain context across multi-turn conversations
- Analyze video frames for events over time
- Return coordinates and timestamps for objects and events
- Answer event-level questions such as counting occurrences
- Extract precise answers from diverse content sources
- Summarize long documents into key points
- Support websites, PDFs, databases and image formats
- Adapt workflows to team and project needs
- Process inputs in real time with immediate updates
- Handle high-resolution images and screen content
- Support GUI and screen automation tasks
- Switch between fast perception and deeper reasoning by task complexity
- Connect to external apps and services
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed source-linked answer set with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Source-linked multimodal document and screen assistant with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Source-linked multimodal document and screen assistant with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce manual cross-referencing while keeping answers tied to their source. For IT and development teams that process images, documents and screen content together, convert permitted images, documents, video frames and screen captures into reviewed source-linked answers and generated content. The benefit is a testable hypothesis, measured through accepted answers per reviewer hour and corrections after approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted images, documents, video frames and screen captures, then follow this sequence: 1. Ingest images, documents, video frames and screen captures. 2. Recognize objects, scenes and details in visual inputs. 3. Understand natural language text alongside visual content. 4. Generate coherent written content from combined evidence. 5. Maintain context across multi-turn conversations. 6. Analyze video frames for events over time. 7. Return coordinates and timestamps for objects and events. 8. Answer event-level questions such as counting occurrences. 9. Extract precise answers from diverse content sources. 10. Summarize long documents into key points. Resolve uncertain cases with qualified reviewers, approve reviewed source-linked answers and generated content, and measure accepted answers per reviewer hour and corrections after approval against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final factual, legal and security checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, quotation accuracy and usage permissions. Named owners approve substantive changes and external actions. Final factual, legal and security checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One approved input format set and one bounded case library; final factual, legal and security checks remain human. Implement one approved input format, a bounded representative case set and the first three task modules: ingest images, documents, video frames and screen captures; recognize objects, scenes and details in visual inputs; understand natural language text alongside visual content. Support the remaining modules with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Customer-owned document stores, screen capture tools, ticketing systems and permitted external apps. Cloud storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Source intake and permissions, Assistant console with evidence panel, Admin console for models, access and audit. Use a thumbnail gallery for sources, a large central answer canvas, and a right-hand panel for citations, coordinates and comments. Let users compare draft and approved answers side by side. Display draft, changes requested and approved states. Provide a share link with comments anchored to the relevant source region. Make the task-specific outcome reviewed source-linked answers and generated content visible beside its evidence, review state and value baseline.
