How to build content systems for AI product workflows with Ditto
summary
Claim: a content system built from your live codebase keeps AI-generated copy consistent. The demo scans the repo and scans codebase to extract 99 strings 91 unique 8 repeated, turns them into a searchable content library, and embeds content rules next to components so agents and designers see exact guidance. It shows up in Figma, GitHub PRs, and cloud code; Claude code reuses six text components to produce a working international‑transfer feature and the PR checks flag inconsistencies.
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chapters (10)
- 0:00Ditto and content systems
- 1:23AI changes product copy workflows
- 4:35Effective content systems
- 6:42System from live product code
- 9:09Governing language in workflows
- 12:01Figma design consistency
- 13:05Rules in the codebase
- 14:52Copy checks in pull requests
- 16:16Measuring system performance
- 19:31Summary
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