What actually makes an AI prompt 'good' for client work
Spent the last few months building prompt frameworks for agency work, and the biggest lesson: most people write prompts as single instructions. That's why output feels generic.
The shift that actually moves the needle is chaining — breaking a deliverable into sequential prompts where each output becomes the next input. Example for an ad script:
Prompt 1: Extract the core pain point + desired outcome from a client brief.
Prompt 2: Feed that into a hook-generation prompt (5 variants, different angles).
Prompt 3: Take the best hook and expand it into a full script with a specific CTA structure.
Single-shot prompting gets you a draft. Chaining gets you something client-ready.
If you're running an agency and drowning in deliverables, this is the difference between AI output that needs a full rewrite vs. AI output you can ship same-day.