10 LLM Agents Every Small Business Can Run on Self-Hosted n8n

You don't need an agent framework to get value from LLMs. Most useful "agents" for a small business are one structured call inside a workflow you already trust. Here are 10 I run on self-hosted n8n, and the pattern behind all of them. The pattern Trigger: a webhook or a schedule. Build Prompt: a Code node with a strict system prompt and a JSON output contract. LLM: an HTTP Request to any OpenAI-compatible /chat/completions, in JSON mode, with 3 retries. Parse: safe JSON.parse with a fallback. Act: Slack, Sheets, a CRM, or a webhook response. The 10 Lead qualifier: BANT score, Slack alert for hot leads. Support FAQ agent: answers only from your KB, escalate flag for humans. Cold email personalizer: ≤110 words, no invented facts. Invoice extractor: vendor, totals, GSTIN, line items, with null instead of guesses. Daily market digest: RSS → the 5 items that matter, plus one action. Meeting notes → actions: decisions, owners, due dates. Review replies: sentiment and a brand-safe reply. Content repurposer: blog → LinkedIn, X thread, newsletter, SEO meta. Resume screener: evidence-only scoring with bias guardrails, human in the loop. Weekly metrics narrator: JSON metrics → a plain-English Monday brief. Lessons Ask for JSON and say what to do when data is missing ("use null, never guess"). That one line removes most hallucinations in extraction tasks. Keep the model swappable. A Config node holding baseUrl and model lets you move between a paid API and local Ollama in seconds. Put humans on outbound actions. Draft, don't auto-send. Grab them Two of these workflows are free on GitHub, with import instructions: https://github.com/arkintof/n8n-ai-agent-workflows Which of these would you trust to run unattended, and which would you keep a human on? Tell me in the comments. Written with AI assistance; workflow built and tested by me.