Effective GenAI interactions depend on well-structured prompts, yet many users struggle to articulate their intent, leading to inconsistent and shallow outputs. This paper introduces Conversational Prompt Patterns, a framework for refining GenAI generated responses through structured, iterative dialogue. It defines three core patterns: the Automation Pattern for efficiency and standardization, the Argumentation Pattern for critical thinking and exploration and the Amplification Pattern for expanding and enriching ideas. By establishing a Conversational Prompt Pattern Language, this work provides a scalable methodology to enhance GenAI reliability, reduce uncertainty and improve user engagement. These patterns empower users to move beyond static queries, unlocking GenAI’s potential as a collaborative reasoning and ideation partner.