The Best AI Results Start Before the Prompt After incorporating Codex and Claude Code into our workflow, one lesson became clear: AI performs best when the task is clearly defined. Broad instructions produce broad solutions. Relevant context, explicit constraints, and measurable acceptance criteria produce more reliable work. At Luvion, we follow four principles: Context — Provide the information required to understand the problem. Review — Treat every AI contribution as work that requires human judgment. Test — Verify behavior before considering a task complete. Protect — Never expose credentials or sensitive customer information. The advantage is not autonomous coding. It is a tighter feedback loop between planning, implementation, testing, and documentation. Where has AI created the most practical value in your workflow?