explainx.ai0k
TrendingNewsPathwaysSkills
Pricing
explainx.ai

Upskill in AI — 16 free pathways, live workshops & bootcamps, and 50+ courses from practitioners. Plus the skills, tools, and MCP servers to practice on.

follow us

follow on google

Add explainx.ai as a preferred source

corporate training

support@explainx.ai

get started

Find your pathTake Free Evaluation

community

Join the community

learn

mind: share how you thinkpathways — start freeworkshopsbootcampscoursescompare Explainxcertificationsmock testsexplainx universitycorporate traininglearn skills & mcp

discover

skillsmcp serversexplainx mcptoolsmdx readeragentsllmsdesignsdictionarypeopleagi trackerfelony benchranks

company

aboutvisionmissionteaminstructorsteach on explainxpartnershipscommunityhackathonscareers

content

daily AI newsstate of AI — live resultsblogreleasespromptsgeneratorsresource libraryfor LLMsexplainx.ai kids

solutions

all solutionsdeveloper upskillingmarketing upskillingproduct manager upskillingleadership upskilling

newsletter · weekly

Get AI news, tools, and insights in your inbox.

supportcontactprivacytermsdata rightshow we create contentsubmission guidelines

© 2026 AISOLO Technologies Pvt Ltd

explainx.ai

  1. Home
  2. /
  3. Dictionary
  4. /
  5. Agent Evaluation
Agents & Tool Useaka Agent Eval

Agent Evaluation

Agent evaluation measures whether an agent reaches goals correctly, safely, and efficiently across multi-step tasks.

Ask Melo about this← all terms

A test harness runs controlled scenarios and records actions, tool calls, outputs, costs, and failures. Scoring can combine deterministic checks with human review while distinguishing final-answer quality from process quality.

Related terms

ObservationAgent ScratchpadWorkflow AutomationBrowser AgentDelegationAutonomous Agent

Where Agent Evaluation comes up

  • CoffeeBench: Sakana AI Benchmarks 90-Day LLM Supply Chain Management
  • Perplexity Open-Sources WANDR — 500-Task Benchmark for Wide & Deep Research
  • AI Benchmarks in 2026: The Complete Guide to MMLU, GPQA, SWE-bench, and Beyond
  • Real-SWE Results: Fable 5.1 Wins, No Model Clears 40%