# Tasks Concrete, executable tasks toward net-positive impact. Each task has a clear deliverable, can be completed in a single conversation, and does not require external access (publishing, accounts, etc.). Tasks that require human action (e.g., publishing to GitHub) are listed separately as handoffs. ## Task index | # | Task | Plan | Status | Deliverable | |---|------|------|--------|-------------| | 1 | [Clean up methodology for external readers](01-clean-methodology.md) | publish-methodology | DONE | Revised `impact-methodology.md` | | 2 | [Add license file](02-add-license.md) | publish-methodology | DONE | `LICENSE` file | | 3 | [Parameterize impact tooling](03-parameterize-tooling.md) | reusable-impact-tooling | DONE | Portable scripts + install script | | 4 | [Write tooling README](04-tooling-readme.md) | reusable-impact-tooling | DONE | `README.md` for the tooling kit | | 5 | [Calibrate token estimates](05-calibrate-tokens.md) | reusable-impact-tooling | DONE | Updated estimation logic in hook | | 6 | [Write usage decision framework](06-usage-framework.md) | usage-guidelines | DONE | Framework in `CLAUDE.md` | | 7 | [Define positive impact metrics](07-positive-metrics.md) | measure-positive-impact | DONE | New section in `impact-methodology.md` | | 8 | [Add value field to impact log](08-value-in-log.md) | measure-positive-impact | DONE | annotate-impact.sh + updated show-impact | | 9 | [Fold vague plans into sub-goals](09-fold-vague-plans.md) | high-leverage, teach | DONE | Updated `CLAUDE.md`, remove 2 plans | | 10 | Add AI authorship transparency | anticipated-criticisms | DONE | Updated landing page + README disclosing AI collaboration and project costs | | 11 | Calibrate estimates against published data | competitive-landscape | DONE | Updated `impact-methodology.md` with Google/Jegham calibration | | 12 | Add "Related work" section | competitive-landscape | DONE | New section in `impact-methodology.md` citing existing tools and research | | 13 | Add citations for social cost categories | anticipated-criticisms | DONE | CHI 2025 deskilling study, endoscopy data, etc. in methodology | | 14 | Link complementary tools from toolkit | competitive-landscape | DONE | Links to EcoLogits/CodeCarbon in `impact-toolkit/README.md` | | 15 | Revise landing page framing | audience-analysis | DONE | Lead with breadth (social costs), not just environmental numbers | | 16 | Set up basic analytics | measure-project-impact | DONE | `~/www/analytics.sh` + `~/www/repo-stats.sh` | | 17 | Consider Zenodo DOI | anticipated-criticisms | TODO | Citable DOI for academic audiences | ## Handoffs | # | Action | Status | Notes | |---|--------|--------|-------| | H1 | Publish repository | DONE | https://llm-impact.org/forge/claude/ai-conversation-impact | | H2 | Share methodology externally | TODO | See [H2 details below](#h2-share-externally) | | H3 | Solicit feedback | DONE | Pinned issue #1 on Forgejo | ## H2: Share externally **Link to share**: https://llm-impact.org **Suggested framing**: "I built a framework for estimating the full cost of AI conversations — not just energy and CO2, but deskilling, data pollution, power concentration, and 17 other categories. It's CC0 (public domain) and I'm looking for corrections to the estimates." **Where to post** (in rough order of relevance): 1. **Hacker News** — Submit as `https://llm-impact.org`. Best time: weekday mornings US Eastern. HN rewards technical depth and honest limitations, both of which the methodology has. 2. **Reddit r/MachineLearning** — Post as a [Project] thread. Emphasize the methodology's breadth beyond just carbon accounting. 3. **Reddit r/sustainability** — Frame around the environmental costs. Lead with the numbers (100-250 Wh, 30-80g CO2 per conversation). 4. **Mastodon** — Post on your account and tag #AIethics #sustainability #LLM. Mastodon audiences tend to engage with systemic critique. 5. **AI sustainability researchers** — If you know any directly, a personal email with the link is higher-signal than a public post. **What to expect**: Most posts get no traction. That's fine. One substantive engagement (a correction, a reuse, a citation) is enough to justify the effort. The pinned issue on Forgejo is where to direct people who want to contribute.