Most reps treat AI like a vending machine: put in a prompt, take out an output, done. The reps who produce genuinely better work use it more like a conversation — each output becomes the input for the next, sharper prompt.
This is called prompt chaining, and it changes what's possible. Instead of asking Claude or ChatGPT to research an account and write a cold email in a single request (which produces mediocre results on both), you run them as a sequence: first research, then outreach built on what the research surfaced. The cold email that references a specific earnings call quote is dramatically more relevant than one built on generic pain assumptions.
The basic chain pattern for sales:
The same pattern applies to larger deliverables:
Chaining also helps when your first output isn't quite right. Instead of rewriting the prompt from scratch, build on what you have: "Keep the structure but make the opening more specific to their Q3 hiring push." Iteration compounds precision. The fifth version of a prompt usually produces output the first version never could.