Instructions
Your prompt architecture is the core of your AI product. Everything the AI knows, how it behaves, what it produces, and how it handles edge cases flows from how you've structured your prompts and context. Getting this right is the difference between a copilot that reliably produces useful outputs and one that's technically impressive but inconsistent in practice.
The common mistake is treating prompting as a simple step — write an instruction, call the API, display the output. In reality, a production AI product needs a thoughtful architecture: a system prompt that defines the AI's role, constraints, and tone; a strategy for injecting user-specific context; output format specifications that match the workflow; and guidance for how the AI handles uncertainty. These aren't thing...
