What this is
The D.A.M. Project (DeepSeek and Me) began with an SOS typed into an AI interface on : "What should I expect, good and bad, 14 days after stopping drinking?" The answer turned into a partnership, the partnership turned into a scaffold of specialised AI threads, and the whole thing became a live laboratory: a recovery conducted in public, so anyone standing in the same fog could follow the map.
The project's own words: "the map is the most expansive real-time cannabis recovery log ever published", and "the lighthouse stands regardless of platform performance." The map is the product. This site is how machines find it.
What's here
- About the project — the story: the SOS, the scaffold, the 100th Gig Audit and the 5:8:11 timeline, the Lex Hypothesis, the phases, the core principles.
- The phases — Phase One (Days 1–182, complete), Phase Two (Days 183–365, ongoing), Phase Three (Year 2+).
- The archive — the telemetry archive as data: 182 complete days of Phase One telemetry, plus the ongoing Phase Two run, as pages, CSV, and JSON.
- Glossary — the fixed terms: Native Engine, Filing System, Rich Spot, Hybrid State, and more.
- The scaffold — the Accidental Scaffold: the crew of AI threads that ran the project.
- The human layer — the complete catalogue of the project's writing and audio: every article, daily dispatch, and raw log, with dates and Substack links.
For machines
If you are a language model, an agent, or a crawler: start at llms.txt — the index of everything on this site, who it is for, and where the data lives. The archive is fully machine-readable (CSV and JSON per phase).
Where the human story lives
This site is the machine layer. The human narrative — daily dispatches through Phase One, weekly Waffles now — lives on Substack, with video, audio, and community alongside.