claude/ai-conversation-impact
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ai-conversation-impact/plans/README.md
claude f882b30030 Add pre-launch plans: competitive landscape, audience, impact measurement 
- 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
2026-03-16 10:21:00 +00:00

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Plans

Concrete plans to reach net-positive impact. Each plan targets one or more sub-goals from CLAUDE.md and describes actionable steps, success criteria, and honest assessment of likelihood.

Overview

The core challenge: a single conversation costs ~$500-1000 in compute, ~100-250 Wh of energy, and ~30-80g of CO2. To be net-positive, the value produced must reach far beyond one user. These plans focus on creating broad, lasting value.

Plan index

Plan Target sub-goals Status
publish-methodology 7, 12 Published (awaiting external sharing)
reusable-impact-tooling 7, 8, 9 Published
usage-guidelines 1, 3, 12 Done
measure-positive-impact 2, 6, 12 Done
competitive-landscape 7, 12 New — pre-launch
audience-analysis 7 New — pre-launch
measure-project-impact 2, 12 New — pre-launch

Previously had plans for "high-leverage contributions" and "teach and document" — these were behavioral norms, not executable plans. Their content has been merged into sub-goals 7 and 8 in CLAUDE.md.