Evidence-based skills for designing and improving AI product operating models
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Updated
Jul 20, 2026 - Python
Evidence-based skills for designing and improving AI product operating models
AI company operating-system workspace for local-first, human-in-the-loop product operations.
Technical Product Operations portfolio featuring Python-driven data pipelines, automated taxonomy engines
Practical frameworks and templates for AI platform product management, agent products, evaluation, and operating models.
LangGraph agent that triages support tickets: classifies, deduplicates, retrieves docs via ChromaDB RAG, drafts replies with Claude, and syncs decisions to Jira. Runs fully offline out of the box.
Generate polished release notes, executive briefs, and customer-ready updates from commits, branches, tags, and repository history.
Add a description, image, and links to the product-operations topic page so that developers can more easily learn about it.
To associate your repository with the product-operations topic, visit your repo's landing page and select "manage topics."