build-wizard-flow

You can create multi-step wizard flows in a Kotlin Telegram bot by using `@WizardHandler` annotations and defining nested classes that extend `WizardStep` to manage conversational state and transitions. This approach simplifies complex user interactions like forms.

Managing conversational state for Telegram bot questionnaires is handled automatically by leveraging Kotlin Symbol Processing (KSP) for code generation, which persists and retrieves typed state between wizard steps without manual state tracking.

You validate user input at each step of a Telegram bot wizard by implementing custom validation logic within your `WizardStep` classes, allowing the flow to proceed only after successful verification or retrying the step on invalid data.

Yes, Kotlin Symbol Processing (KSP) is required to build conversational wizards with this approach. KSP handles the code generation that simplifies the development and runtime logic for state management and step transitions.

Yes, you can use a fluent API alongside Kotlin annotations to define complex Telegram bot interactions. This combination structures multi-step conversational flows, handling input validation and step transitions for intricate processes.