AI Authentication Flow Generator

What happens in your application when someone requests a password reset for an email address that does not exist? The answer separates a considered authentication flow from one that was assembled feature by feature. Most flows handle the happy path well and improvise everything else, and the improvised parts are where accounts get taken over.

What is AI Authentication Flow Generator?

It is a free page that produces authentication designs. You describe your application, who the users are and what they need to sign in with, and it returns the flow: the steps, the states, what is stored, what is sent, and what happens at each point where something goes wrong.

It writes the design rather than a finished library. That is the right level, because the risky decisions in authentication are design decisions. Whether a reset token is single use. Whether a session rotates on privilege change. Whether an error message tells an attacker that an address is registered.

Why Use AI Authentication Flow Generator?

Because authentication is the part of an application where everyone thinks they know the requirements and almost nobody writes them down. The result is a flow that exists only as code, with rules that were decided in a pull request comment eighteen months ago.

Having the design written out changes the conversation. A reviewer can ask why the reset token lasts an hour rather than reading the code to find out that it does. And the cases nobody remembers to specify, such as what happens when a user changes their email while a reset is pending, appear as questions instead of as bugs.

How Does AI Authentication Flow Generator Work?

You describe the requirement, it designs the flow. Four inputs shape the result: who your users are, what they sign in with, what the session needs to survive, and what your recovery story is when someone loses access.

The page shares the security options panel, so Language, Security Focus and the four toggles apply here too, and the result lands in a card with a live word count, a copy button on any code, and the export row beneath.

These are the stages a complete design covers, and the decision each one hides.

Step-by-Step Guide

1. Open AI Authentication Flow Generator. Free, with no account step.
2. Describe the application, the user types and what each is allowed to do.
3. Say which sign in methods you support and which you must support later.
4. State how long a session should last and what should end it early.
5. Set Security Focus to Authentication and turn Explain the Risk on.
6. Generate, read the failure cases first, and check each against your product rules.
7. Take the design to review before any of it is implemented.

Key Features

Advanced Options Guide

Ten controls sit behind the accordion. Security Focus and Strictness matter most, and Custom Instructions is where your product rules belong.

Example Inputs

A description with the constraints in it produces a design you can actually build. Compare a vague request with this.

Web application with a React front end and a Python API. Two user types:
customers who self register with an email address, and staff who are created
by an administrator. Customers stay signed in for two weeks on a trusted
device. Staff sessions expire after eight hours and require a second factor.
Email addresses must be verified before a customer can place an order.
We use a transactional email provider. We will add single sign on for staff
next year, so do not paint us into a corner. No SMS, so the second factor
must be an authenticator app.

Every constraint changes the design. Two user types means two session policies. The verification requirement decides where in the flow an unverified account is blocked. The future single sign on requirement pushes toward an identity layer that can be swapped. And ruling out SMS removes a whole branch of the recovery story.

Tips & Common Mistakes

• ✅ Sign in and reset responses are identical whether or not the address exists.
• ✅ Reset tokens are single use, short lived and invalidated when the password changes.
• ✅ Sessions are rotated on sign in and on any privilege change.
• ✅ Rate limiting applies to sign in, reset and verification, not only to sign in.
• ✅ Every second factor has a recovery path that is not itself a weakness.
• ✅ Password hashing and token generation come from a maintained library.

The mistakes recur across products. Error messages that confirm an address is registered, which hands an attacker a user list. Reset tokens that stay valid after use or after the password has already changed. Sessions that survive a password change, so revoking access does nothing. Rate limits on the sign in form only, leaving the reset endpoint open to abuse. And a recovery flow that quietly bypasses the second factor, which makes the second factor decorative.

Once identity is settled, the next question is what each identity is allowed to do, and AI Authorization Policy Generator is where that gets designed.

AIToolsay puts a page in front of each job that already knows the domain, so this prompt box expects a description of your users and constraints rather than an open question. The options are security specific, with a strictness dial that decides how hardened the design is and toggles that control whether you get reasoning, sample code or both. The model selector lets a second engine design the same flow when a decision looks unusual. It is free and needs no account, so producing a simple design and a hardened one for comparison is quick. Session history keeps both under the result while you decide. The rest of the security tooling on AIToolsay is arranged the same way, so the permission model and the code review that follow are each a page away.

Frequently Asked Questions

Write down your current authentication rules from memory, then generate a design from the same description and compare. The cases you could not remember are the ones worth specifying today. The Telegram community is a reasonable place to discuss identity design, and the newsletter or push notifications will tell you when new security tools land here.

Let AI Speak.