AI code generators like OpenAI's Codecs make creating a dynamic website as easy as a slide deck. This transforms the basic work artifact from a passive, version-controlled file into an interactive, updatable, and measurable web experience, fundamentally changing how knowledge is packaged and shared.

A novel internal use case for Hyperframes is automating development updates. Engineers ask their coding agent to review their code commits over the past week and generate a short video summary. This turns standard progress reports into a fun, engaging format for team meetings.

With the integration of video generation models into presentation tools, the baseline expectation for slide decks is shifting. What used to cost tens of thousands of dollars and require a video team can now be created from a prompt, democratizing high-fidelity, animated storytelling.

Traditional video editors use JSON/XML backends, which LLMs struggle to visualize. Hyperframes uses HTML, CSS, and JavaScript, a format LLMs are highly proficient in, allowing agents to express not just structure but also visual aesthetics, solving the 'visual intelligence' gap.

Traditional file formats like PowerPoint and Word documents are difficult for LLMs to parse. The future of work involves creating artifacts, like SOPs or presentations, in formats such as HTML that are easily understood by both humans and AI, improving workflow automation and knowledge transfer.

Standard file formats like .docx and .pptx are filled with complex code that LLMs struggle to parse. To build effective AI workflows, companies must create deliverables in formats that are both human-readable and AI-friendly. HTML is a prime example, as it is visually appealing for people and easily ingested by AI.

Hera's core technology treats motion graphics as code. Its AI generates HTML, JavaScript, and CSS to create animations, similar to a web design tool. This code-based approach is powerful but introduces the unique challenge of managing the time dimension required for video.

To speed up iteration with an AI video agent, first generate a Markdown storyboard for the narrative, then have the agent create a static `storyboard.html` file. This file shows one key visual frame per scene, allowing for rapid aesthetic review and changes before committing to the time-intensive full video render.

Hyperframes' launch videos are open-sourced as codebases. Users can prompt their AI agent to pull specific code components (e.g., a text animation) from existing videos and apply a new visual style using a `frame.md` file, dramatically accelerating the creation of on-brand content.