Architectural Planning
Architectural Planning is a workflow that converts research outputs from NotebookLM’s Deep Research feature into structured website content using no-code tools and platforms. This process enables users without coding expertise to transform comprehensive, sourced research documents into functional websites ready for publication. The approach bridges the gap between AI-assisted research generation and professional web deployment.
The workflow begins by extracting key themes, data points, and narrative structures from the deep research documents generated by NotebookLM. These elements are then mapped to the logical hierarchy of a website, such as landing pages, about sections, and resource libraries. This structural mapping ensures that the resulting site maintains the informational integrity and logical flow of the original research while adhering to standard web navigation patterns.
Implementation relies on no-code platforms that accept structured content inputs, such as JSON, Markdown, or direct API integrations. Users define the visual template and layout constraints within the platform, while the AI-generated content is automatically populated into the designated fields. This separation of content and design allows for rapid iteration and deployment without manual HTML or CSS editing.
The final output is a published website that reflects the depth and sourcing of the initial research. By automating the translation from research document to web structure, this method reduces the technical barrier to entry for publishing complex information online. It supports a repeatable process where updates to the source research can be propagated to the live site through re-running the planning workflow.