Identifies 8 likely criticisms, prioritizes which must be addressed before launch. AI authorship transparency is the highest priority.
- Competitive landscape: maps existing tools (CodeCarbon, EcoLogits, etc.) and research, identifies our unique positioning (breadth beyond carbon) - Audience analysis: identifies 5 segments, recommends targeting ethics/ governance professionals and developers first - Project impact measurement: defines success thresholds and metrics to determine whether the project itself is net-positive
Forgejo instance is live at llm-impact.org with landing page. H1 and H3 are done, H2 (external sharing) remains.
CC0-licensed methodology for estimating the environmental and social costs of AI conversations (20+ categories), plus a reusable toolkit for automated impact tracking in Claude Code sessions.
