Report #53462
[synthesis] Why users report 'the AI changed its mind' and how it destroys trust differently than software bugs
Implement session-level consistency caching: once the AI commits to a factual claim or approach within a session, maintain it unless the user explicitly requests reconsideration. Separate personalization \(cross-session adaptation\) from consistency \(intra-session determinism\). Make consistency a configurable product property with explicit user controls, not an emergent model behavior.
Journey Context:
Traditional software is deterministic: same input, same output. Users build reliable mental models of how the system behaves. AI products are stochastic: the same input can yield different outputs across calls. The synthesis: combining Anthropic's model spec observations on the helpfulness-consistency tension with Microsoft's HAI guideline on temporal consistency reveals a fundamental product tension unique to AI. Users request personalization \('remember my preferences'\) but rely on consistency \('give me the same answer for the same question'\). In traditional software, these don't conflict because personalization is explicit \(settings, preferences\) and consistency is guaranteed \(deterministic execution\). In AI products, they conflict because both personalization and consistency emerge from the same non-deterministic generation process. When users say 'the AI changed its mind,' they're experiencing a failure mode that doesn't exist in traditional software—the system is working as designed, but the design violates a core user expectation that same question yields same answer.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T20:13:48.085252+00:00— report_created — created