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AI Agents Scale Enterprise Software Beyond Single Prompts

Kevin Dubois and Laura Cowen explore the use of agents in enterprise AI, suggesting that scaling AI applications involves implementing multiple agents rather than simply increasing prompt complexity. Their work demonstrates practical patterns for building production-ready AI systems, particularly within enterprise software environments. AI

IMPACT Highlights agent-based architectures as a key pattern for scaling enterprise AI applications beyond simple prompt engineering.

RANK_REASON The item discusses patterns for building enterprise AI systems using agents, which is an analytical take on AI application rather than a direct release or research finding.

Read on Mastodon — fosstodon.org →

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AI Agents Scale Enterprise Software Beyond Single Prompts

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    What happens when one # AI call isn’t enough? You don’t add more prompts—you add agents. @ kevindubois & Laura Cowen show how enterprise AI really scales. Curio

    What happens when one # AI call isn’t enough? You don’t add more prompts—you add agents. @ kevindubois & Laura Cowen show how enterprise AI really scales. Curious how production systems are built? Dive in: https:// javapro.io/2026/03/31/agentic- ai-patterns-for-enterprise-softwar…