Eval workflow for agentic builders: fork any prompt through baseline vs scaffolded agents, blind third-party judge.
📰 Dev.to AI
Learn to A/B test prompts using baseline and scaffolded agents with a blind third-party judge using an n8n eval workflow
Action Steps
- Build an n8n workflow with a chat trigger to input prompts
- Fork the prompt through two agents: plain GPT-4o and GPT-4o with a reasoning scaffold
- Configure a blind Gemini evaluator as a third-party judge
- Test the workflow with sample prompts to compare agent performance
- Apply the eval workflow to custom agent tasks to evaluate their effectiveness
Who Needs to Know This
Developers and researchers working with AI agents can benefit from this workflow to evaluate and compare the performance of different agents on various tasks
Key Insight
💡 Using a blind third-party judge to evaluate agent performance helps reduce bias and increases the reliability of the results
Share This
A/B test AI prompts with baseline & scaffolded agents using n8n workflow!
Key Takeaways
Learn to A/B test prompts using baseline and scaffolded agents with a blind third-party judge using an n8n eval workflow
Full Article
Built an n8n eval workflow that A/B tests any prompt through plain GPT-4o vs GPT-4o + a reasoning scaffold, judged by a blind Gemini evaluator Solo founder here. I've been building a cognitive infrastructure API (Ejentum) and needed a way for builders to evaluate it on their own agent tasks instead of trusting my benchmarks. So I published the eval as an n8n workflow. What it is A three-agent n8n workflow. You paste any prompt in the chat trigger. The prompt fans out through
DeepCamp AI