Business Acumen in the Age of AI: Finish the Cycle
Why complete workflows, shorter time to market, and learning from finished work matter when applying AI in practice.
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Published writing by Roberto Penco on AI, business, learning, and creative work. Read the original English articles on Medium.
Why complete workflows, shorter time to market, and learning from finished work matter when applying AI in practice.
Read on Medium — opens in a new tabA practical account of building a local video workflow with an AI agent: models, iterations, repairs, and a scene assembled from separate layers.
Read on Medium — opens in a new tabAn argument for assessing candidates through real problems, AI-assisted delivery, verification, and the cost of producing a result.
Read on Medium — opens in a new tabA practitioner’s argument about general intelligence, grounded in delegated work across software, administration, and research, with explicit discussion of its limits.
Read on Medium — opens in a new tabA proposed operating model for software organisations using agents, separating selected reported gains from hypotheses about much larger organisational change.
Read on Medium — opens in a new tabA practical view of how writers can use agentic AI while preserving purpose, structure, evidence, and editorial control.
Read on Medium — opens in a new tabWhy specification, verification, and engineering discipline matter as natural language becomes a serious development interface.
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