writing · tag
Data & Context
7 posts tagged “Data & Context.”
RAG Isn't Magic: When Retrieval Helps and When It Hurts
RAG gets sold as a cure. It's a tool that's excellent for some jobs and actively harmful for others. Here's how to tell which one you've got before you build it.
Read →If You Can Build It in a Weekend, So Can Your Competitor
Wrapping a model isn't a moat. Where AI actually creates defensibility for a startup — and where it just commoditizes you alongside everyone else.
Read →Why We Build on Astro + Directus for AI-Heavy Sites
The stack you choose either gets out of the way of your AI work or quietly becomes the bottleneck. Here's why we reach for Astro and Directus when a site leans on automation.
Read →The Hidden Costs of AI Automation Nobody Budgets For
Teams budget the build cost and nothing else. The build is the cheap part. Here are the recurring costs that decide whether an AI project survives its first year.
Read →Cleaning Up Your Data Before You Automate: The Unsexy Prerequisite
Automating a process built on messy data doesn't fix the mess. It scales it. Here's what 'clean enough' actually means, and why it has to come first.
Read →The Context Layer: Why Your Agent Keeps Getting It Wrong
When an agent gets it wrong, it usually didn't reason badly. It answered correctly from incomplete information. The fix isn't a smarter model. It's a better context layer.
Read →Your AI Doesn't Have a Model Problem. It Has a Data Problem.
You upgraded the model and the output is still wrong. That's the tell. Almost every 'the AI isn't good enough' problem is a data problem wearing a model costume.
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