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Building an AI-Native Media Project: Experiment Log 001
A public experiment in using AI to design, operate, and reflect on a media project from the ground up.
This experiment asks what happens when AI is treated not as a productivity layer, but as part of the operating environment for building an AI-native media project.
The first test is simple: use AI to help shape the public website, clarify the editorial architecture, create reusable workflows, and document the decisions as they happen.
The point is not to pretend the machine is autonomous. The point is to observe the collaboration clearly.
What This Experiment Tracks
- Which parts of editorial work become faster.
- Which parts become more ambiguous.
- Where AI helps with structure, naming, synthesis, and production.
- Where human judgment, taste, context, and refusal remain central.
- How a public media project changes when its operating system is built in the open.
Current Status
The first public site is being assembled as a lightweight static repository. The editorial operating system remains separate. This distinction matters: the public website should be clear and readable, while the private operating system can stay more experimental, messy, and procedural.
More logs will follow as the project moves from setup into publishing rhythm.