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Structured requirement elicitation is conducted through adaptive, single-question-at-a-time interaction patterns that progressively explore your project needs. The AI acts as an active interviewer, adapting its next question based on your previous answers to ensure deep context discovery.

Clarifying complex problems requires challenging flawed assumptions and suboptimal directions early. This approach acts as a critical thinking partner that questions your premises iteratively, ensuring you fully understand the problem space and document the discovery process before proceeding.

Yes, session persistence automatically logs every question, intention, assumption, and answer into a dedicated markdown file. This creates a clear audit trail of the discovery process, maintaining session continuity and ensuring the gathered requirements are fully documented for review.

Yes, the adaptive questioning workflow requires the ability to read and write files to the local workspace. This file access is essential for maintaining session persistence and ensuring the versioned record of the dialogue remains accessible and auditable.

An iterative interview approach is needed when initial requirements are vague or incomplete. By asking one question at a time and adapting based on your responses, it uncovers hidden context and challenges assumptions that a single prompt exchange would miss.