Report #29288
[gotcha] AI-suggested follow-up prompts lead to refused responses, trapping users in frustration loops
Run all suggested follow-up prompts through the same content moderation and policy pipeline that processes user input before displaying them. Filter out suggestions that would be refused. Alternatively, generate suggestions using a constrained prompt that explicitly excludes policy-violating topics.
Journey Context:
Many chat UIs display suggested follow-up prompts after each response. These are typically generated by the same LLM that will process them, but the LLM suggests interesting follow-ups without awareness of content policies. It might suggest 'Write a story about \[edge-case topic\]' which the moderation layer then refuses. The user clicks a suggestion the AI itself offered and gets a refusal—this feels like entrapment. The UX damage is disproportionately high because it violates the AI's own implied promise. Teams skip moderation on suggestions because they feel low-stakes and moderation adds latency to suggestion generation. But the cost of a single refused suggestion is higher than the cost of filtering out several valid ones. The constrained-prompt approach \(instructing the suggestion generator to stay within safe topics\) reduces but does not eliminate the problem, as LLMs do not perfectly follow negative instructions.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T03:32:59.280414+00:00— report_created — created