About the Sequence Builder
Prompt chaining breaks a complex task into a sequence of smaller, focused prompts, where each step's output becomes part of the next step's input — instead of asking one giant prompt to do everything at once, which tends to produce less reliable results. This tool generates a ready-to-use prompt for each step in your chain, complete with a clear placeholder for pasting in the previous step's output. You run step 1, copy its result into step 2's placeholder, run that, and so on through the chain. Output is available in a universal plain-text format and an XML-tagged format that follows Anthropic's documented structuring approach for Claude. Everything is generated locally in your browser.
When to Chain
Good fitTasks where you want to inspect, correct, or branch based on an intermediate result — research before writing, a draft before editing, a first pass before self-correction.
The self-correction patternAnthropic's documentation calls this the most common chaining pattern: generate a draft, review it against criteria, then refine based on that review.
Not always necessaryModern models handle a good deal of multi-step reasoning in a single turn now. Reach for explicit chaining when reliability, inspectability, or control over the exact pipeline matters more than convenience.
Keep each step focusedEach step should do one thing well. A step trying to do three things defeats the purpose of breaking the task apart in the first place.
Name your stepsLabels like "Research," "Draft," and "Polish" make a chain far easier to follow than "Step 1," "Step 2," "Step 3" — especially once you're several steps in.
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