DJ Von Frank AI Implementation

Resources

Everything I have worked out, written down.

The part of the job that does not fit in a case study: why company AI stalls, what adoption actually costs, and the small disciplines that keep a system trustworthy once it is running. Written from four production builds rather than from a framework, and held to the same rule as the rest of the site. No number without a source, no story I cannot back.

Start here

A reading order, not a feed.

The newest piece is rarely the one to read first. These four are ordered the way I would explain the work to someone who had never seen it: what goes wrong, what it costs to fix it properly, then how the machinery works and why it refuses things.

  1. 01Why most company AI rollouts fail7 min · Adoption
  2. 02Adoption is the unglamorous half6 min · Adoption
  3. 03The intake form is the product6 min · Method
  4. 04Two gates over the same content beat one careful pass4 min · Guardrails

7 pieces

The talk

The room I almost did not get to stand in.

The 2023 Hide In Plain Sight keynote, and why being on both ends of the same story decided the kind of thing I build. A tool somebody can run keeps working after I leave. Work done for them stops when I do.

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