Deep Dive into Pro AI PPT: Custom DSL Cuts Costs by 70% with Lossless Editing
冷技术热思考 · wechat · 2026-08-13
This article explores how to build high-quality, native AI PPT generation tools for professional users. The author emphasizes that professional scenarios require not just visually appealing drafts, but also high end-to-end iteration efficiency and strict template adherence.
The post reviews five mainstream industry approaches: template-driven, HTML export, direct OOXML manipulation, pure image generation, and DSL (Domain-Specific Language). The author's team spent nine months developing KRL, an object-oriented DSL acting as an intermediate layer between natural language and underlying PPT formats. This allows agents to manipulate structured objects directly rather than raw code or pixels.
Benchmark tests show that compared to HTML routes, this DSL approach nearly doubles generation efficiency and reduces costs by 2.6x to 5.5x. Against direct OOXML manipulation, it improves efficiency by 2.86x and cuts costs by 3.31x. Additionally, KRL achieves over 98% preview fidelity and 99% write-back fidelity, enabling seamless human-AI collaboration where users can manually edit in PowerPoint and the agent can continue working on the same file.
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