Explores why AI agents with high technical capabilities often fail to gain user adoption, focusing on architectural decisions that impact user trust. Covers four key layers of agent architecture: context & memory, data integration, skills & capabilities, and evaluation & trust. Compares different orchestration patterns from
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Let's say you're building a customer support agentThe Four Layers Where Your Product Decisions LiveSo how do you actually architect an agent?The trust thing that everyone gets wrongWhat's Coming NextSort: