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An analysis of why teams quietly abandon AI tools due to broken trust, arguing that the real problem is not model quality but the lack of trust architecture—designing workflows that clearly indicate when AI output is reliable and when it needs verification.
An engineering leader observes that AI coding assistants enable startups to appear productive while masking the absence of strategic architectural thinking and management oversight, creating an illusion of health that delays necessary organizational investment.