How to eliminate AI agent hallucinations in your n8n workflows:🧵
Here's how it works:
1. Your main AI agent generates output 2. Validation agent checks it against your criteria 3. Rates it 1-10 4. If <8: sends feedback & loops back 5. If ≥8: proceeds to next step
The AI learns from its mistakes. No more garbage outputs.
Example setup:
Main Agent → Validation Node → Switch Node
The switch routes based on score:
• 8-10: Continue workflow ✅
• 1-7: Loop back with feedback ↩️
Add the validator's feedback to the prompt so your AI improves each iteration.
I just gave Claude 38 reasoning modes including Monte Carlo analysis, Tree of Thought, and systematic debugging.
The MCP setup takes 30 seconds:
What this means:
- Strategic decisions get probability analysis instead of guesses
- Complex problems get systematic breakdown instead of surface answers
- Business questions get consultant-level frameworks instead of generic advice
It's like hiring a strategy team.
Before: "Claude, help with my marketing strategy"
Response: Generic AI slop
After: Uses Monte Carlo simulation to test different approaches, calculates success probabilities, documents entire reasoning process.
There's a 6-month window to pivot your automation skills...
After that, node-clicking becomes worthless.
Smart builders are already making the switch, here's how 🧵
Everyone's panicking: "Will AI replace n8n builders?"
Wrong question.
The RIGHT question: "What skills will still print money when building gets 10x faster?"
Answer: The work you do BEFORE you touch a single node.
The skills that will always matter:
- Systems thinking (understanding the REAL problem)
- API knowledge (knowing what's possible)
- Business problem-solving (finding the $10K pain points)
- Technical architecture (designing bulletproof systems)