
Architectural Trade-offs When Introducing AI into Existing Systems
AI integration forces startups to trade performance, scalability, and maintainability-start with low-risk pilots, use APIs or modular services, and replatform only when needed.
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Field notes on shipping AI-native systems with human engineering judgement: architecture, modernisation, automation, and the tradeoffs in between.
Design AI interfaces that build calibrated trust through transparency, user control, feedback loops, and ethical safeguards.