Dev Tools · 3h ago
How to structure a production AI assistant with modular skills
An enterprise SaaS platform built a conversational AI that initially handled all tasks in one monolithic system, causing fragility as features grew. The team restructured by adding a classifier that routes user prompts to self-contained "skills," each with a single responsibility. This modular approach made adding new features predictable and reduced testing nightmares.
Meridian48 take
The lesson is a classic software engineering principle—modularity—applied to AI agents, but the real challenge is ensuring the classifier and shared layer don't become bottlenecks themselves.
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One agent, many skills: structuring a production AI assistant →
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