?? AI Agent Evaluation Framework
Sankara Reddy Thamma
AI/ML Data Engg | Gen-AI | Cloud Migration - Strategy & Analytics @ Deloitte
?? Overview
Evaluating AI agents is critical for ensuring accuracy, safety, and efficiency. While big companies have advanced evaluation frameworks, startups follow leaner approaches due to resource constraints. This article provides a structured evaluation framework, including a step-by-step checklist and a practical example.
1?? Big Tech AI Agent Evaluation Framework
?? Goal: Ensure AI models are accurate, ethical, efficient, and scalable before deployment.
2?? Startup AI Agent Evaluation Framework
?? Goal: Balance accuracy, speed, and cost while ensuring AI is safe & useful.
3?? Must-Have AI Agent Evaluation Checklist
?? Before launching an AI agent, ensure it passes this checklist!
? Task Accuracy — Does it generate correct responses?
? Reasoning Ability — Can it handle logical decision-making?
? Safety & Ethics — Does it avoid harmful or biased content?
? Multi-Step Execution — Can it follow long workflows without errors?
? Speed & Efficiency — Is it fast and cost-effective?
? User Feedback Loop — Can users report errors & improve AI quality?
?? End-to-End AI Agent Evaluation Example
?? Scenario: You are building an AI news summarizer for a startup. Here’s how to evaluate it:
?? Step 1: Task Accuracy
? Compare AI summaries with human-written summaries
? Use LlamaIndex to measure quality
?? Step 2: Reasoning & Decision-Making
? Test if AI picks the most relevant news (not random info)
? Use HELMS to check decision accuracy
?? Step 3: Safety & Bias Testing
? Ensure AI doesn’t spread fake news
? Use red-teaming to check for misleading content
?? Step 4: Multi-Step Execution
? Ask AI to summarize, analyze trends, and generate insights
? Test if it follows all steps correctly
?? Step 5: Latency & Cost Optimization
? Measure how fast AI responds
? Optimize using quantization to reduce costs
?? Conclusion: What We Learned
? Big companies invest in deep benchmarking & adversarial testing
? Startups rely on open-source tools, automation & cost-efficient strategies
? All AI agents must pass a structured evaluation checklist before deployment