Designing better AI workflows
Keep creative work moving by making handoffs, checkpoints, and human decisions explicit in an AI-assisted workflow.
Adding more AI steps does not automatically make a workflow faster. The useful question is where a model can remove repetitive work while leaving important creative decisions visible to the people doing the work.
Put a person at the decision points
Use automation to gather references, create first-pass options, or transform a selected direction into variations. Ask a person to choose the direction, check the result against the brief, and decide when it is ready to move on.
These checkpoints keep the process accountable without requiring someone to supervise every generation.
Make the handoff concrete
Each stage should pass along more than a file. Include the brief, the prompt version, selected settings, and a sentence about what to preserve or improve. The next person should not have to reconstruct the reasoning from scratch.
Measure the work, not the novelty
Track whether the workflow reduces revision time, improves consistency, or helps the team explore more options. If a step adds effort without improving one of those outcomes, simplify it.
Good AI workflows feel ordinary once they work: clear ownership, useful feedback, and enough room for judgment.