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We built the site with AI. Now we need humans for the rest.

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1 month 8 hours ago - 1 week 4 days ago #7 by DFT
Behind every page on this site — the vetting application, the Foundations curriculum, the Yes/No/Maybe checklist, the incident reporting workflow, the mentor matching, the badges, the staff-role training — I want to be straight about something: an AI wrote most of the code, working alongside me as the architect.

This was the only way to get here. A platform that does what this one does — encrypted vetting records, audit logging, role-based access, scheduled emails, automated quiz grading, an end-to-end-tested integration with our calendar and group tools — is normally the output of a small engineering team working for a year to eighteen months. Quoted at market rate, that's somewhere in the neighborhood of $400,000–$600,000 in development costs, plus ongoing maintenance.

To put real numbers on it: the site is roughly 125,000 lines of application codenearly 200,000 counting the database migrations, the quiz banks, and the Tales storyline. On top of the code, there's more than 70,000 words of documentation — the handbooks, the policies, the Foundations curriculum, the FAQ and glossary — about the length of a novel. Every push triggered an automated check; more than 1,000 runs over the build so far. Behind those sits an 80-file test suite that verifies the whole platform end to end: submitting applications, grading quizzes, walking the story, filing test incidents, running the vetting flow start to finish. By hand, one full pass is the better part of a day — and it runs every time anything changes. Conservatively, that's hundreds of hours of manual testing the machine absorbed so I could move fast without breaking what already worked.

I had a budget of zero, a small community, and a timeline measured in weeks. So I built it with AI as my coding partner. One person, with one collaborator, shipped what would have taken a team a year.

What that's gotten us
  • A vetting workflow that actually screens applicants — built in days, not months.
  • An end-to-end-encrypted notes system so vetters can document concerns without leaking PII.
  • An incident response framework, with cross-venue alerts and reporter privacy baked in.
  • The Foundations consent and safety curriculum — lessons, quizzes, badges, and automatic group memberships once you pass.
  • A Yes/No/Maybe checklist and a Scene Negotiation tool to compare interests with a partner before a scene.
  • Tales — a choose-your-own-path story that teaches consent and community norms by letting you live the decisions, not just read about them.
  • Mentor matching — newcomers paired with an experienced member and connected privately from day one, so there's someone to ask the awkward questions while you wait.
  • A member home base — log in and see exactly where you stand: your vetting status, the classes you have left, and what's coming up.
  • A volunteer staff-role workflow — apply, train, take a quiz, get approved — so we can grow our team without losing track of who's been trained on what.
  • A one-tap quick-exit button on every page and a full accessibility pass — keyboard navigation, screen-read
Last edit: 1 week 4 days ago by DFT.

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