Jeda.ai introduces a browser-based AI Workspace that transforms prompts into editable visuals and facilitates collaboration on a single canvas, moving beyond traditional whiteboards. This guide explains the concept of a browser whiteboard, its significance, Jeda.ai's unique approach, and how to create useful visual AI work.
The article argues that AI-generated creative assets should be treated as infrastructure, not just outputs, to solve the "Execution Gap" in creating visual resources. The solution is "Visual Infrastructure" that understands atmospheric physics to achieve realism.
This article details a talk titled "Apps That See," which showcased six live demos on building applications that understand images and video. The projects are open source and demonstrate how visual AI models like Qwen and Reka Edge can now run locally on regular hardware.
Current generative AI easily creates images, but struggles with crucial details for e-commerce and branding due to "hallucinations." "Surgical Precision" in AI visual pipelines, exemplified by Pixizen, aims to prevent detail loss and automate the transition to high-quality motion assets.
AngleCore (powered by ENGO Core) is a spatial AI system that enables users to design and interpret AI workflows through visual patterns, rather than text prompts. This approach aims to overcome the ambiguity and inconsistency of language-based input by using nodes representing computational roles.
This content discusses how Jeda.ai transforms traditional SWOT analysis by integrating AI into a visual workflow, eliminating disjointed processes. It highlights the platform's ability to turn messy inputs into clear strategy, making the analysis and revision more efficient and collaborative within a single AI Workspace.