Agentic AI · Automated Evaluation
Autonomous AI QA Agent
A multi-stage QA architecture that automatically plans tests, executes live assistant conversations, judges outputs and turns failures into structured recommendations.
github.com/adrk1728-design
01
Planner Agent
Generate diverse test scenarios.
02
Test Runner
Execute live conversations.
03
AI Judge
Score quality and classify failures.
04
Report
Produce actionable fixes.
Project Overview
Designed around a real business journey.
What needed to change
Manual chatbot QA is slow, repetitive and inconsistent across large test volumes.
What the experience does
A planner-runner-judge pipeline automates scenario generation, execution, evaluation and reporting while preserving traceable failure reasons.
Technology Stack
Built with a focused production stack.
Agentic AIn8nGeminiLLM EvaluationReportingAutomation
Core Capabilities
What makes the project useful.
Autonomous scenario generation
Creates tests across business, safety and quality dimensions.
Live evaluation
Judges actual assistant responses instead of static examples.
Actionable reporting
Returns failure severity, reasons and suggested fixes.
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