Publishing AI Write-Ups to a URL – Without Leaking the Client Ones
Brady Stroud shares how to create a private documentation vault for AI write-ups that can be published to a URL without exposing client-specific content, using static site generation and selective publishing techniques.
Background
- Brady Stroud is a software developer and AI consultant who builds custom GPT-based solutions for clients. He also runs a public blog sharing technical insights from his work.
- The core problem: AI consultants produce case studies, benchmarks, and code samples that would be valuable to publish, but their client contracts ban sharing any proprietary data or even mentioning the client by name.
- This post describes a homegrown static-site workflow ("Private Docs Vault") that lets Stroud safely redact or rewrite client-specific content before publishing, using version control + a build step that strips secrets.
- The approach matters because it solves a tension common across consulting: the need to demonstrate expertise publicly without violating NDAs or leaking sensitive client material.