The Documentation Paradox in GTM Engineering

it's the vegetables of the business world essential but often pushed to the side of the plate but what if documentation wasn't just documentation? what if it was the foundation of your entire gtm engine? the hidden treasure in your company's basement there's a chasm in every business on one side, you have unstructured data the wild, untamed conversations, the scattered insights, the tribal knowledge that lives in people's heads on the other side, you have structured data the neat rows and columns that machines can understand and act upon for years, we've tried to bridge this gap with ocr , nlp , and rpa like trying to teach a fish to climb a tree possible, but not exactly elegant then came ai not just any ai, but language models that actually understand context, nuance, and intent the real power play here's what everyone gets wrong about ai in gtm they chase the shiny avatars they obsess over email automation they hunt for seo shortcuts but winners know it's not about the tools it's about the data quality in = quality out it's that simple stop thinking about documentation as a chore start thinking about it as your competitive moat the companies that win won't be the ones with the fanciest ai tools they'll be the ones who turned their messy, human knowledge into structured, machine readable intelligence that's not just documentation that's engineering and that's how you win 🧠 remember in a world where everyone has access to the same ai tools, the difference maker isn't the technology it's the data you feed it