Good prompts help, but reliable AI work starts when you design systems around them with clear context, structured data, feedback loops, and guardrails that keep outputs consistent.
The systems framing is right but the harder version of this is applying it to decisions, not just outputs. A prompt system tells AI what to do. A decision system captures why you chose to do it at all, the context, the assumptions, the tradeoffs. Most people skip that layer entirely and then wonder why they can't learn from past decisions.
Is it just me or does the entire article just seem like slop?