[AI Chief Of Staff] Build context files for personalized AI responses

For the first two months I used AI the same way most people do: open tab, ask question, get answer, close tab. It felt productive. It wasn't. The problem is that every session starts at zero. You re-explain your context, your constraints, your preferences. The AI gives you a decent answer for a generic version of your problem, not your actual problem. And you end up doing a lot of manual work to translate "generic good advice" into "what I should actually do today." Around week 9 I switched approaches. Instead of querying, I started building context files. A plain text file per project with the relevant background, my current thinking, what I've already ruled out. Before asking anything, I paste the relevant section in. The AI's answers got immediately sharper. Less translating, more using. The second shift was about recurring tasks. I had a bunch of things I did weekly that involved reading, summarizing, and making small decisions. Research roundups, reviewing notes, drafting updates. I stopped doing these reactively and started running them as scripted routines with preset context. Set it up once, run it the same way each week. The output is consistent enough to be useful without being babied. What actually surprised me: the biggest win wasn't speed. It was cognitive load. I stopped holding a bunch of half-formed context in my head because it lived in a file. That freed up something. Fewer dropped balls, less of that background hum of "I should follow up on X." What didn't work: trying to use AI for anything that required knowing me well without having first written down what "knowing me" means. It kept giving me advice for a median person. Took me longer than it should have to realize the fix was just... write the context down. Still iterating on it. But the shift from "AI as a search engine" to "AI as a system that runs on context I've built" is the one that actually changed my workflow.