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MVP Prototyping with AI, by Adam Parrish

Writer: Mark MillerMark Miller

Updated: Mar 17



Artificial (Un)Intelligence Conference. Adam Parrish
Adam Parrish

Adam has been building software professionally for 20+ years and has focused on AI/ML at the intersection of Software Engineering and full stack delivery. He’s passionate about making software engineering teams more efficient at delivering business value.


Adam is presenting his session, streaming live from Ashville, North Carolina during the 24 hour Artificial (Un)Intelligence Conference.


Session Description, MVP Prototyping with AI


Prototyping is usually the first step after an entrepreneur has identified a pain point or a need to serve. This process has usually involved partnering with a technical co-founder or hiring a dev shop for the minimum lovable (viable) product. This could cost months of time and hundreds of thousands of dollars. 


With the recent advances in AI based coding with IDEs as well as end-to-end full-stack engineering products like Lovable and Bolt this has all changed. Let’s explore some of the options you can bring to your engineering team to help build better prototypes and internal tools for your firm.



About Adam Parrish

Adam has been building software professionally for 20+ years and has focused on AI/ML at the intersection of Software Engineering and full stack delivery. He’s passionate about making software engineering teams more efficient at delivering business value.


Adam is the founder of Neosavvy and former Partner of McKinsey’s Generative AI practice (QuantumBlack). Adam has served top companies including Bloomberg, HBO, Morgan Stanley, and Chick-Fil-A while leading Neosavvy and industries spanning Finance, Department of Defense, Pharmacy Benefits Managers and a myriad of Series A funded startups. Adam holds an MBA from MIT’s Sloan School of Business and a BS in Computer Science from NCSU.



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