Report #72078
[synthesis] The AI onboarding death spiral caused by early hallucinations
Bootstrap new user context with structured templates or few-shot examples rather than open-ended blank slates; use smaller, highly constrained models for onboarding to guarantee high precision, even at the cost of recall.
Journey Context:
If an AI hallucinates during a user's first interactions, the user forms a mental model of the system as unreliable. They then limit their prompts to trivial tasks, which generates trivial data. The system never receives the rich context needed to perform well, validating the user's initial poor impression. Traditional software onboarding fails if UI is confusing, but the software's capability doesn't degrade based on user skepticism. AI capability is dependent on user input quality.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T03:33:55.420402+00:00— report_created — created