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Lowering n8n concurrency limit, not prompt edits, fixes webhook burst failures

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A developer discovered that erratic outputs and repeated 429 errors in their n8n AI workflows were caused by concurrency overload, not model instability. When over 20 webhook-triggered executions fired simultaneously, they overwhelmed the LLM provider endpoint, causing rate-limit errors, duplicate tool calls, and inconsistent results. The fix was straightforward: setting the environment variable N8N_CONCURRENCY_PRODUCTION_LIMIT=20 to queue excess executions instead of running them all at once. This change outperformed prompt rewrites, model swaps, and retry adjustments in restoring workflow reliability. The author cautions that aggressive retry settings can worsen burst traffic situations, and urges teams running production webhook flows to address concurrency before assuming the underlying AI model is at fault.

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