Video narration
You hand off a job, and the work comes back polished-or full of gaps. With AI, even the same model can give different results. The model isn't the whole setup. Harness engineering means shaping what surrounds it, like setting someone up to do a job well. Give clear instructions: what matters, what to avoid, and an example of good work. Provide the materials and tools the job needs-relevant files, facts, or apps-so the AI isn't left guessing. Then review the result. Checks catch mistakes; some systems use feedback to try a correction, but not all do. This is a useful grouping, not a fixed rulebook. Prompt engineering focuses on the prompt; a harness is the wider setup that guides, equips, and checks the work. So when AI lets you down, improve the hand-off: clear instructions, useful tools, and a check at the end. That's the harness.