Claude learns editing style from project files
A DIY Smart Code video shows Claude comparing a generated CapCut project with a human-edited version, identifying an intentional transition change, and recording that preference for future videos. The workflow demonstrates practical, file-based agent memory across creative tasks.
This is a convincing form of agent memory: Claude converts an editing correction into a reusable, auditable rule instead of relying on chat history alone.
- –Project files turn subjective feedback into persistent production guidance.
- –Version comparison gives the agent a concrete signal for learning preferences.
- –Anthropic supports file-based project context through Claude Code instructions and memory patterns. ([Anthropic](https://www.anthropic.com/engineering/claude-code-best-practices))
- –Human review remains important because accidental edits can become incorrectly preserved preferences.
- –The approach could evolve into shared, version-controlled style guides for creative teams.
DISCOVERED
1h ago
2026-10-23
PUBLISHED
1h ago
2026-10-23
RELEVANCE
AUTHOR
DIY Smart Code