Track AI-generated code at line-level granularity. Know which lines were written by AI, modified by humans, and what prompts generated them. Git-native storage, automatic redaction, and Claude Code integration.
AIAS — İçerik üretiminde yapay zekanın nasıl ve ne ölçüde kullanıldığını belirten açık atıf beyanı standardı.
Royalty OS v0.2 — Event-Based Trace-to-Value Circulation Architecture
FAIA – FAIR AI Attribution ontology and vocabulary
A non-monetary value trace protocol for recording question-based intellectual contribution in AI-mediated knowledge systems.
Laravel package that classifies R&D activity across one or more git repositories with a deterministic LLM-based classifier and emits an audit-grade PDF + JSON dossier suitable for the Italian Patent Box (110% R&D super-deduction) regime. Standalone — works on any Laravel project, zero AskMyDocs coupling.
Description: An open evidence protocol for recording structural fingerprints, trace records, and provenance signals for AI-era creative works.
GAAIM — Generally Accepted AI Metrics. A canonical, signed, vendor-neutral event format for AI-augmented knowledge work.
GTM variable template for classifying identifiable AI referral and UTM traffic signals.
A memorable standard for Human-AI attribution
Machine-readable Trace Layer for Royalty OS v3.0: AI usage evidence, provenance signals, attribution readiness, and allocation-trigger schemas.
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