1. The hidden cost killer: API calls. Your "simple" customer service agent makes 15+ API calls per conversation: 3 calls to check context 4 calls for intent classification 5 calls for response generation 3 calls for follow-up logic At $0.002 per call, that's $0.03 per

2. n8n's biggest cost trap: polling nodes. Every 15 seconds, your workflow checks for new emails, Slack messages, database updates. That's 5,760 executions per day doing nothing. Switch to webhooks. I cut execution costs by 80% just by replacing poll-based triggers with

3. Memory costs more than compute. Storing conversation context in n8n's database gets expensive fast. A 3-month conversation history for 1000 users = ~$200/month in execution costs just for memory retrieval. Solution: Use external Redis or Supabase for context storage.

4. The 90/10 rule kills budgets. 90% of your agent costs come from 10% of edge cases. Complex error handling, retry logic, multi-step reasoning chains. I now build "dumb" agents first. Handle the happy path perfectly. Add complexity only when usage justifies the cost.

5. LLM model choice makes or breaks economics. GPT-4: $0.03 per 1K tokens Claude Sonnet: $0.003 per 1K tokens Llama 3.1 (via Groq): $0.0002 per 1K tokens Same agent, 150x cost difference. Most use cases work fine with cheaper models. Test extensively before committing to

6. Execution time = money. n8n charges per execution second. Inefficient workflows cost 10x more than optimized ones. Quick wins: - Combine API calls with HTTP Batch node - Use Switch nodes instead of multiple IF branches - Cache frequently accessed data - Set proper timeouts

7. The real ROI calculation: Building our lead qualification agent: Development: 8 hours ($400 value) Monthly n8n costs: $45 API costs: $120/month Replaces: 0.5 FTE ($3000/month) Payback in 3 weeks. But only because we optimized for cost from day one. Most agents I see would

What's your biggest n8n cost surprise? Drop your monthly bill and use case below. I'll audit the first 10 replies and show you where you're bleeding money. (Seriously - some of you are paying 10x more than you should be)

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@godofprompt our costs are close to 5k and literally used some of these techniques to save money

@nextool_ai they work.

@godofprompt 🤝 must have guide for those who wants to save money

@alex_prompter yes

@godofprompt Gotta self host your n8n workflows for the best results We process sensitive client data and self hosting is not only more private/secure but SIGNIFICANTLY cheaper Currently running workflows through @Hostinger VPS instances

@godofprompt I’m guessing you’re not self hosting n8n? I built out a vm. Depending on your n8n spend, this may be a savings. Also, I used either Claude Code or Gemini cli to see if it could build out an ES vm and it did well. So, if you aren’t sure how build one, perhaps that would help.

@godofprompt n8n = 10x productivity, 2x surprise invoices. Budget accordingly.

@godofprompt Aren’t you using the hosted n8n ?

@godofprompt Must save guide

@godofprompt Amazing

@godofprompt Understanding costs is crucial for sustainable growth! Learning from real experiences makes all the difference. How can we improve our budgeting strategies?

@godofprompt It is possible to extrapolate the analysis or "calls" to trading platforms such as @tradingview and track an asset by "implementing" strategies "fed" into nodes... I sent alerts "back."

@godofprompt need to bookmark this

@godofprompt I had a meeting with a guy who is making a new platform just like this but for people who need automation in everything

@godofprompt That’s awesome!