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Most AI presentation tools follow a simple pipeline: take text in, push pixels out. This works for demos but breaks down at scale. Here is why we took a different approach.

The fragility of text-to-pixel

When an LLM generates slides directly, every regeneration is a coin flip. Change one paragraph and the entire deck layout might shift. There is no way to selectively update a single slide without regenerating everything.

Our approach: text → Brain → pixels

The Brain is a JSON-based intermediate representation. It captures the semantic structure of your content — learning objectives, concept blocks, assessments — without committing to a visual layout.

Why this matters

• Selective re-rendering: change one block in the Brain, and only that slide updates
• Multi-format output: the same Brain renders to PPTX, PDF, facilitator guide, or quiz bank
• Validation before rendering: structural and brand rules are enforced on the JSON, not the pixels
• Version control: Brain JSON diffs cleanly, unlike binary PPTX files

Learn more

Read the Brain DSL reference or explore the API documentation to see how the compiler pipeline works end-to-end.