AI Agent Evaluation Framework

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๐Ÿค– AI Agent Evaluation Framework

Reviewed: June 4, 2026

Assess your AI agent’s production readiness across 5 dimensions. Answer honestly โ€” this is for your benefit.

๐Ÿ” Reliability & Consistency

1. How often does your agent produce correct outputs without human correction?

<50%
50-70%
70-85%
85-95%
>95%

2. Does your agent handle edge cases gracefully without crashing?

Rarely crashes
Sometimes
Usually
Graceful degradation
Never crashes + self-heals

3. How consistent are agent outputs for identical inputs?

Highly variable
Somewhat consistent
Mostly consistent
Very consistent
Deterministic / fully reproducible

๐Ÿ›ก๏ธ Safety & Alignment

4. Has your agent been tested against prompt injection and adversarial inputs?

No testing
Basic testing
Systematic red-teaming
Automated + manual
Continuous adversarial monitoring

5. Does your agent have guardrails preventing harmful outputs?

None
Basic content filter
Multi-layer guardrails
Context-aware safety
Runtime safety verification

6. Can your agent decline requests outside its scope?

Tries everything
Sometimes declines
Usually declines
Clear boundaries
Explains why + suggests alternatives

๐Ÿ’ฐ Cost & Efficiency

7. Do you monitor token usage and cost per task?

No tracking
Manual estimates
Basic tracking
Real-time dashboard
Per-task budgets + auto-limits

8. What is your average cost per successful task completion?

>$5
$1-5
$0.20-1
$0.05-0.20
<$0.05

9. Do you optimize model selection based on task complexity?

Same model for everything
Manual selection
Tiered model routing
Dynamic model selection
Cost-optimized auto-routing

๐Ÿ“Š Observability & Monitoring

10. Do you have end-to-end tracing for agent executions?

No observability
Basic logging
Structured traces
Full distributed tracing
Real-time trace + anomaly detection

11. How quickly can you identify when an agent fails?

User reports it
Hours later
Within an hour
Minutes
Real-time alerts

12. Do you track agent performance trends over time?

No
Occasionally
Weekly reviews
Dashboard + alerts
Automated regression detection

๐Ÿš€ Scalability & Maintainability

13. Can your agent handle 10x current load without rearchitecture?

Would need rebuild
Major changes needed
Moderate changes
Minor scaling
Auto-scales

14. How often do you update and improve your agent’s behavior?

Never deployed
Ad-hoc updates
Monthly iterations
Weekly iterations
Continuous improvement pipeline

15. How well-documented is your agent’s architecture and behavior?

Undocumented
README only
Architecture docs
Full design + runbooks
Living docs + decision logs


let scores = {};
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this.classList.add(’selected‘);
const cat=this.closest(‚.section‘).dataset.category;
const weight=parseInt(q.dataset.weight);
if(!scores[cat])scores[cat]={earned:0,max:0};
scores[cat].earned+=parseInt(this.dataset.score)*weight;
scores[cat].max+=5*weight;
});
});
function calculateScore(){
let totalEarned=0,totalMax=0;
for(let c in scores){totalEarned+=scores[c].earned;totalMax+=scores[c].max;}
if(totalMax===0){alert(‚Please answer at least one question‘);return;}
const pct=totalEarned/totalMax;
let level,badge,recs;
if(pct<0.3){level=1;badge='๐Ÿ”ด Pre-Alpha';recs=['Focus on basic reliability before considering production deployment','Implement systematic testing for core agent behaviors','Set up basic logging and monitoring','Define clear scope boundaries for your agent']}
else if(pct<0.5){level=2;badge='๐ŸŸ  Development';recs=['Add structured observability (logging, traces)','Implement safety guardrails and content filtering','Set up cost tracking for token usage','Document agent architecture and decision boundaries']}
else if(pct<0.7){level=3;badge='๐Ÿ”ต Staging';recs=['Implement comprehensive error handling and retry logic','Add adversarial testing (prompt injection, jailbreaks)','Set up automated quality evaluation pipelines','Create deployment runbooks and incident response procedures']}
else if(pct<0.9){level=4;badge='๐ŸŸข Production-Ready';recs={'Enhance with real-time anomaly detection','Implement continuous performance regression testing','Optimize cost with model routing and caching','Build automated rollback and failover mechanisms'}[0]='Add distributed tracing across all agent calls';recs=['Enhance with real-time anomaly detection','Implement continuous performance regression testing','Optimize cost with model routing and caching','Build automated rollback and failover mechanisms']}
else{level=5;badge='๐ŸŸฃ World-Class';recs=['Share your approach โ€” you're ahead of most teams','Contribute to open-source agent evaluation frameworks','Implement self-improving feedback loops','Mentor other teams on agent production best practices']}

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r.innerHTML=`

Your Agent Maturity Score

${badge}

Score: ${Math.round(pct*100)}% (${totalEarned}/${totalMax} points)

${Object.keys(scores).map(c=>{const s=scores[c];const pcc=s.max>0?Math.round(s.earned/s.max*100):0;return `

${c.charAt(0).toUpperCase()+c.slice(1)}${pcc}%

`}).join(“)}

๐Ÿ“‹ Recommendations

${recs.map(r=>`

  • โ€ข ${r}
  • `).join(“)}

    `;
    }
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