ROI Savings Calculator

·Drop rate 3–5% baseline: Cloudflare documents HTTP/2 stream errors and multiplexing failures across edge connections. Vercel AI SDK users report connection closed errors mid-stream in production, and their troubleshooting docs address streaming failures when deployed. One developer built a resilience layer for AI chat streaming specifically because “most AI chat UIs fail basic resilience tests.”

·Re-prompt cost = full context resent: When a stream drops, the client retries with full conversation history. OpenAI confirms you’re billed for tokens generated even if the stream is interrupted. LiteLLM tracks a feature request to cancel generation on client disconnect because providers keep generating (and billing) after disconnection.

·Agentic multiplier: Agent loops accumulate context across steps — each turn resends the full history, making costs grow quadratically. Without circuit breakers, a single stuck task can burn an entire daily budget. One team discovered a $12,000 bill from a recursive chain with no monitoring. LangChain users have seen 14 retries on a single rate-limit error, exceeding their $120 limit in under 10 minutes.

·Human time cost: BLS reports $44.40/hr average employer cost for private industry workers (Sep 2024). For professional & technical roles (the LLM user base), fully loaded cost is $70–$90/hr. We use $75/hr. Time to notice drop, re-submit, wait for regeneration: 2–4 min avg. Used $2.50/incident (2 min).

·NoBurn reduces drops significantly: By buffering and replaying streams server-side, NoBurn eliminates most drop-related waste. Even at 80% effectiveness the ROI holds comfortably.