GenGen means generative generation: people with their hands in it. Testing, getting things wrong, learning and shipping. The models change, the tools change, what you can build changes — so stay close to the work.
Everyone has an opinion about AI. Plenty talk about it; fewer do it. If you teach AI, advise on it or build with it, show your own practice. Big claims deserve something concrete: ask for the score and the work — recent projects, with their dates, decisions and results.
The GenGen label is a lifetime stamp, earned from the AI activity recorded on your Mac. Two paths lead to it: reach 100 billion recorded tokens (the Obsidian level), or wait two calendar months after a known, recorded crossing of 10 billion (the Graphite level). Builder Nutch reads the Claude Code and Codex history still on the machine; it never invents a date.
The studio turns the certificate exported from Builder Nutch into a profile photo, LinkedIn and X banners, or a certificate post. It all happens in the browser: nothing is uploaded, nothing is kept, and sharing is always manual.
GenGen is also clear about what it is not: it describes recorded activity, not an audited qualification, and volume measures neither skill nor the quality of the work. The score starts the conversation; the work gives it meaning.