How to Use Multi-Step Prompts
Big tasks fail in single prompts. Multi-step prompting breaks a goal into focused, sequential prompts — each output validated, then fed into the next.
Set credential rules that help instead of annoy — modern password handling, MFA factors and when to require them, and account-recovery that isn't the weakest link.
Credential policy is where security theatre lives — arbitrary rotation, complexity rules that breed Password1!, and a recovery flow that undoes the MFA you required. This prompt designs a policy on current guidance: how passwords are stored and checked (including breach-check), which MFA factors and when, lockout and rate-limiting, and a recovery path that isn't a backdoor.
Define the credential context
Note how passwords are stored and checked today, which MFA factors you can support, and your account-recovery flow. The policy is designed around these and current guidance.
Open this resource in Multi-Step Prompt Builder
Load the prompt into Multi-Step Prompt Builder and fill in your context. Building it in stages keeps password handling, MFA, lockout, and recovery each fully worked out.
Review the generated policy
Read the password storage and breach-check rules, the MFA factors and when they apply, the lockout and rate-limiting, and the recovery path, confirming recovery is not a backdoor.
Tighten the rules and re-run
Adjust any rule that is theatre rather than protection, then regenerate so the policy helps users instead of annoying them.
It follows current guidance instead of legacy habits. The PASSWORDS step favors length over arbitrary complexity, adds breach-list checking, and drops forced periodic rotation without cause — the rules that breed patterns like Password1!. The prompt produces a policy recommendation you run in your assistant and review; it isn't a security audit or a guarantee your accounts are safe.
It treats recovery as a first-class threat. The RECOVERY step designs the flow to be no weaker than the login it protects, and the RULES state the recovery path must be as strong as the primary auth or it's the real attack surface. The output includes the recovery design with its threat note — a plan for your review, not a validated or compliant control.
The prompt separates the two so you don't add friction everywhere. The MFA step decides which factors — TOTP, passkeys/WebAuthn, SMS as last resort — and whether they're required or stepped up, while SENSITIVE ACTIONS names operations like changing email, payment, or deleting an account that require re-authentication. You supply the user base and sensitivity; the multi-step-prompt-builder builds the policy in stages and you own the final rules.
Big tasks fail in single prompts. Multi-step prompting breaks a goal into focused, sequential prompts — each output validated, then fed into the next.
Prompt chaining runs prompts in sequence where each output becomes the next prompt's input — the technique that turns a chat into a pipeline.
An AI workflow prompt set turns one goal into an executable sequence — objective, prompt, and expected output per step, ready to run top to bottom.
Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.
A reusable AI agent task template with variables for objective, context, available tools, constraints, success criteria, failure handling, and output format.
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
Break a big goal into a sequential prompt workflow — each step with an objective, prompt, and expected output.
Four hundred lines of login code and a yes-or-no. You can read every line, find nothing, and still be wrong — because what will hurt you is in the file nobody opened alongside it: a session that outlives a logout, a reset that leaves the old one working.