FluxGravity AI Canvas for Visual Research and Creation

An AI canvas is a visual workspace where you can arrange and connect multiple sources of information for an AI agent to analyze.

Instead of a linear chat history, you get an infinite board where you can drop in videos, PDFs, websites, voice notes, images, and documents.

Each item becomes a node that you can position, group, and link to others, creating a visual map of your research context.

FluxGravity reads, watches, and listens to everything on the canvas, understanding the relationships you establish, then uses this rich context to perform deep research and generate finished work.

This approach supports non-linear thinking, allowing you to build a web of ideas that mirrors cognitive processes better than a simple back-and-forth conversation.

The canvas fundamentally changes how you interact with AI.

Rather than trying to describe complex relationships in text, you simply show the AI.

You can place a product demo video next to customer feedback PDFs, link a technical whitepaper to a marketing website, and organize brainstorming notes around a central concept.

This visual structure provides immediate context that would take dozens of chat prompts to establish, allowing FluxGravity to deliver more relevant and comprehensive insights from the very first task.

FluxGravity is built from the ground up for multimodal input, meaning it can process and understand information across different formats simultaneously. When you drop a YouTube video onto the canvas, FluxGravity transcribes the audio and analyzes the visual content.

For a PDF, it extracts text, recognizes charts and diagrams, and understands the document structure. Voice notes are transcribed and analyzed for sentiment and key topics.

Images are processed for content, context, and even text within the image using OCR. This comprehensive processing means every piece of media on your canvas becomes fully searchable and analyzable, not just a file attachment.

The power comes from how FluxGravity connects these different modalities.

It can find a specific concept mentioned in a video, cross-reference it with data in a PDF, and build upon ideas from a voice note, all within a single analysis.

For example, you could drop in a lecture video, the slide deck PDF, and your handwritten notes image, then ask FluxGravity to create a study guide.

It will watch the lecture, read the slides, interpret your notes, and synthesize everything into a coherent document that cites which source provided each piece of information.

This multimodal approach eliminates the need to convert everything to text first and preserves the richness of your original materials.

Non-linear thinking reflects how humans naturally process complex information, connecting ideas in a web rather than a straight line.

Traditional AI chat interfaces force you into a linear conversation, which is unnatural for exploratory research and creative work.

The AI canvas in FluxGravity supports non-linear thinking by letting you arrange sources spatially, create visual groupings, and draw connections between different concepts.

You can place competing theories side by side, surround a central problem with various data sources, or build a mind map of how different pieces of information relate.

This spatial organization helps both you and the AI see patterns and relationships that might be missed in a linear transcript.

When you work non-linearly, you can follow multiple paths of inquiry at once.

You might start with a central question, branch out to explore different aspects, then circle back to connect insights from different branches.

The AI canvas maintains this structure, so FluxGravity can see the full context of your exploration.

It understands that sources placed near each other are related, that items grouped together share a theme, and that lines drawn between nodes represent explicit connections.

This contextual awareness allows the agent to provide insights that respect the conceptual framework you have built, making the research feel more collaborative and less like a simple question-and-answer session.

Grounded output means every claim, fact, and insight FluxGravity provides is tied directly to a specific source on your canvas.

Unlike other AI tools that may hallucinate information, FluxGravity works exclusively from the materials you provide.

When it generates a report, creates a presentation, or writes a summary, it includes citations that point to the exact video timestamp, PDF page, or document section supporting each statement.

This grounding happens automatically because FluxGravity processes and indexes every source in detail, creating a rich knowledge base it can reference with precision.

The result is output you can trust because you can always verify the source.

This grounding extends to media creation as well. When FluxGravity generates an AI image based on your research, it can reference the specific sources that inspired the visual elements.

When it creates an AI video summarizing your findings, each scene can be traced back to supporting materials on your canvas. This level of traceability is crucial for professional work where accuracy matters.

You can confidently use FluxGravity's output in reports, presentations, and decision-making because every piece of information is verifiable. The grounding also makes it easy to dig deeper into any point that interests you,simply click the citation to jump directly to the relevant source material on your canvas.

FluxGravity goes far beyond text generation to create complete, polished media assets directly from your canvas sources.

After analyzing your videos, PDFs, and documents, it can generate comprehensive reports in various formats, build presentation slides with relevant visuals, create detailed spreadsheets with extracted data, and produce professional documents ready for distribution.

What truly sets FluxGravity apart is its native ability to generate AI images and AI videos.

It can create custom illustrations that visualize concepts from your research, produce charts and diagrams based on data in your sources, and even generate short videos that summarize key findings or demonstrate processes described in your materials.

This integrated media creation means you never have to leave the FluxGravity ecosystem to complete a project.

You can start with research sources on your canvas, have FluxGravity analyze everything, then request a complete project package: a written report, a presentation deck, custom infographics, and a summary video for stakeholders.

Each piece of media is grounded in your original sources and maintains a consistent message because everything is generated by the same AI agent with full context of your entire canvas.

This unified approach saves hours of work that would otherwise involve multiple tools and manual coordination between different formats.

FluxGravity's extensive connector ecosystem transforms the AI canvas from an isolated tool into a central hub for your entire workflow.

With 200+ connectors to popular services, you can pull sources directly into your canvas without manual downloading and uploading.

Connect to your Google Drive to access documents and spreadsheets, link to Notion pages to bring in project notes, import from your CRM to include customer data, or connect to Slack to incorporate team conversations.

These connectors work both ways,FluxGravity can also push finished work directly to your preferred platforms, exporting reports to Google Docs, presentations to Slides, or videos to your shared drive.

This seamless integration eliminates friction and keeps your work flowing naturally between tools.

The connectors also enable continuous updating of your canvas.

You can create a persistent canvas for an ongoing project that automatically pulls in the latest documents from your shared drive or new entries from a database.

This means FluxGravity always works with the most current information, and you can refresh its analysis with a single click to incorporate new sources.

For teams, this creates a dynamic knowledge base that evolves with the project, where the AI canvas becomes the single source of truth that connects all your scattered information into one coherent, analyzable space.

FluxGravity's Auto Mode intelligently selects the optimal AI model for each specific task on your canvas, drawing from Claude, GPT, Gemini, and Fable as needed.

Different models excel at different types of work,some are better at long-form writing, others at data analysis, some at creative generation, and others at structured reasoning.

Instead of forcing you to choose manually or defaulting to a one-size-fits-all approach, Auto Mode analyzes the nature of your request and the types of sources on your canvas, then routes each subtask to the model best suited for it.

This means you get the strengths of multiple AI systems without managing multiple subscriptions or switching between tools.

For a complex canvas project, Auto Mode might use Gemini to extract data from spreadsheet nodes, Claude to synthesize insights from long PDF documents, Fable to generate creative concepts for visual elements, and GPT to format the final report,all within a single workflow.

This intelligent routing happens transparently, so you simply state your goal and FluxGravity handles the orchestration behind the scenes.

The result is consistently higher quality output because each task gets the specialized model that excels at it, while you enjoy the simplicity of a single interface and subscription.

Auto Mode essentially gives you an AI team of specialists working collaboratively on your canvas, each contributing their strengths to produce the best possible result.