Second Brain / Practitioner slang
Iteration over the first draft
Iteration over the first draft is the habit of treating an AI's initial output as a starting point and pushing it through several rounds of review and improvement rather than accepting it as finished.
Iteration over the first draft is the habit of treating an AI's initial output as a starting point and pushing it through several rounds of review and improvement rather than accepting it as finished. The first response is rarely the model's strongest work; it is the fastest thing it could produce. Say you ask an assistant to write a project update and it returns three competent paragraphs. Instead of shipping them, you tell the agent what feels generic, ask it to add the specific numbers and name the blockers, then read the revision and point at the weakest sentence again. Each pass closes the gap between what the model guessed you wanted and what the work calls for.
Builder example
If you wire an AI step into a summarization tool or a draft-email feature and ship whatever the first call returns, your output quality is capped at the model's blind guess. The fix is to design the loop, not just the prompt: have the assistant critique its own draft against a short checklist, regenerate the weak parts, and surface the revision for your review. Tell the agent to ask you one or two clarifying questions before its second pass, so each round is steered by your judgment instead of repeated from scratch.
Common confusion: Iterating is not the same as regenerating the same prompt and hoping for a better roll. What moves the draft forward is feeding back specific direction, naming the weak part, the missing fact, or the wrong tone, so the next version improves on a known flaw instead of resampling blindly.