AI Support Agent Regression Testing in n8n: Google Sheets, Groq & Gmail
AI Support Agent Regression Testing in n8n: Google Sheets, Groq & Gmail
Regular price
£30.99
Regular price
£30.99
Sale price
Unit price
/
per
⬇
Instant Digital Download
∞
Unlimited Downloads
★
Lifetime Access in Your Account
Couldn't load pickup availability
🔥
128+ Sold
Popular with n8n builders
⚡
23 people viewing
High interest right now
✅
9 added today
Fast-moving digital product
AI Support Agent Regression Testing in n8n: Google Sheets, Groq & Gmail
Regular price
£30.99
Regular price
£30.99
Sale price
Unit price
/
per
Regression-test your customer-support AI in n8n—using Google Sheets, Groq, and Gmail
This n8n workflow runs an AI support agent against your Google Sheets test cases, scores the quality with Groq-hosted LLMs, logs everything back to Sheets, and automatically sends Gmail alerts when results regress or need QA review.
What this workflow does
- Manual start: Designed to begin when you manually execute the workflow in n8n.
- Loads test scenarios: Reads rows from a Google Sheets “Test_Cases” tab, filters to Active scenarios, and processes them in batches.
- Generates support answers: For each test case, it constructs a customer-support prompt and generates an agent response using Google Gemini.
- Evaluates response quality with Groq: Sends the question, Expected_Facts, Expected_Outcome, and the agent response to a Groq LLM that returns scoring as JSON—covering relevance, reference accuracy, completeness, instruction compliance, and hallucination risk.
- Logs per-test results: Parses the evaluator JSON and appends detailed results (including the agent response and overall result) to an Evaluation_Results sheet.
- Compares against a baseline: Aggregates the current run, selects the latest previously reviewed baseline from Google Sheets, and computes pass-rate regression and metric deltas.
- Routes outcomes to QA via Gmail: Writes run-level metrics back to Google Sheets, then marks success or sends Gmail warning/alert messages to the QA team.
Use cases
- Catch customer-support regressions after prompt/model changes in your AI agent.
- Continuously monitor answer quality across a curated set of scenarios maintained in Google Sheets.
- Automate QA review workflows by alerting the team when baseline comparisons fail.
Technical details
- Integrations: Google Sheets (Test_Cases, Evaluation_Results, Baseline_Metrics) and Gmail.
- LLMs: Google Gemini for agent responses; Groq LLM for JSON evaluation scoring.
- n8n nodes/logic: if, filter, switch, set, code, and gmail for control flow and reporting.
