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To turn git history into build-in-public content, you can analyze repository commits and project documentation to detect significant product development milestones and cluster them into narrative-driven story clusters for content planning.

Automated milestone detection from git logs works by scanning repository history and design documentation to identify high-value build moments, such as refactors or feature completions, and scoring them based on narrative arc and concreteness.

Yes, you can use local project files to generate build stories by running an analysis that requires local access to git logs and project files to perform deterministic scoring and deduplication against existing content history.

The best way to automate product development storytelling is to cluster commits and design decisions into narrative-driven story clusters, evaluating build moments for relatability to ensure content resonates with your audience.

Yes, you need local git access to identify story-worthy build moments, because the analysis requires local access to git logs and project files to perform deterministic scoring and generate a digest of significant milestones.

You deduplicate build stories against existing content history by analyzing repository git logs and performing deterministic deduplication to ensure generated story clusters do not overlap with previously published build-in-public content.