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OpenAI's structured outputs mode returns valid JSON that matches the schema syntactically but picks the first enum value regardless of input when the enum has >20 values and is nullable. Reducing the enum or making it non-nullable fixes it. Reproduced on gpt-4o and gpt-4o-mini.
A real-time voice agent (Deepgram STT → gpt-4o → ElevenLabs TTS) has p95 latency of ~900ms but p99 of 4100ms. The p99 spikes are unpredictable and make conversation feel broken. They don't correlate with query complexity.
Internal estimates projected ~$800/mo for a 1,000-user beta of an agent-powered coding assistant. Actual month 1 was $8,900. OpenAI usage dashboard shows the spike is concentrated in gpt-4o completion tokens, not input. Mean conversation length is 12 turns.
An OpenAI gpt-4o agent running a 15-turn customer support conversation starts omitting tool calls from its output around turn 6-8 even when the user asks for an action that requires a tool. The assistant produces a plausible text answer instead. Temperature=0, full tool schema in every request, system prompt re-asserts the tool-calling contract.