This article argues for a shift from extensive documentation to practical implementation when developing AI projects. It suggests that focusing on building functional prototypes, or Proofs of Concept (POCs), is more effective than creating detailed decision documents. The author advocates for a hands-on approach, emphasizing that tangible code and working models demonstrate progress and value more efficiently than lengthy theoretical planning. AI
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IMPACT Suggests a more efficient approach to AI project development by prioritizing practical implementation over extensive documentation.
RANK_REASON Opinion piece advocating for a specific development methodology.
