Context Engineering Framework for AI Systems

The context stack technique: layer 1: system context (who you are, what you do) layer 2: audience context (who you're serving) layer 3: brand context (how you communicate) layer 4: current context (what's happening now) layer 5: task (what you want done) Progressive context building: session 1: "i'm launching a productivity app for freelancers" session 2: "remember my app? let's brainstorm features" session 3: "using our feature list, write user stories" session 4: "based on everything we've discussed, create a launch plan" Practical example: bad: "write a blog post about AI" good: "you're writing for entrepreneurs aged 25-45 who are curious about ai but not technical experts. tone should be optimistic but realistic. this is part of our 'AI for small business' series." Getting started: 1. pick something you do regularly with AI map what context is always relevant 2. create a template with role, context, objective, constraints, style 3. test for a week and refine 4. add dynamic elements over time