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“Just ship it”: Learning the New Role of AI Product Engineering and Building Products People…
- AI product engineering is transforming the software engineering landscape, involving a diverse blend of builders, experts, and operators.
- The modern AI-first teams are not restricted to traditional silos but focus on fast iteration and feedback.
- The article explores the journey of founding a modern tool, CaterlyAI, aimed at enhancing catering sales efficiency using AI.
- Founder's confidence in launching a AI app quickly stemmed from real-world problems and domain expertise.
- Industry expertise is crucial for startup success, emphasizing the importance of founders' domain knowledge.
- Evaluating ideas involves considering practical user alternatives if the tool disappeared, highlighting valuable concepts.
- Shipping a product is just the start; sustainable profitability and scalability are essential considerations.
- Running a profitable AI application involves understanding core business costs and managing expenses effectively.
- Engaging with users, sharing the development process, and building in public accelerates product growth and meets user needs.
- The role of AI Product Engineer combines problem definition, product shaping, and technical solution building.
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