Tag: agent evaluation

Paired-bar benchmark chart contrasting agent harness point swings against model-generation deltas on a dark analytics dashboard
Observability

Agent Harness Benchmark Score: The Point-Swing Data (2026)

The agent harness benchmark score data, normalized: holding each model fixed, the…

By Surya Koritala
23 Min Read
Conceptual diagram of reinforcement learning environments feeding rollout trajectories into LLM agent post-training in 2026
Observability

Best RL Environments for AI Agents 2026: 7 Picks Ranked

The best RL environments for AI agents 2026: Prime Intellect, Verifiers, HUD,…

By Surya Koritala
33 Min Read
Agent execution trace timeline showing a tool_call span next to the final narrated text, used to verify an AI agent actually called the tool
Observability

How to Verify an AI Agent Actually Called the Tool

Learn how to verify an AI agent actually called the tool: diff…

By Surya Koritala
31 Min Read
AI Agent Testing: A Pre-Production Reliability Playbook
Observability

AI Agent Testing: A Pre-Production Reliability Playbook

A 2026 builder's guide to AI agent testing: run simulation and adversarial…

By Surya Koritala
26 Min Read
AI agent infrastructure stack diagram — protocols, frameworks, memory, evaluation, and hardware layers
Agent Infrastructure

AI Agent Infrastructure in 2026: The Complete Guide

The complete 2026 guide to AI agent infrastructure: protocols (MCP, A2A), frameworks,…

By Surya Koritala
9 Min Read
Harvey Legal Agent Benchmark — what the all-pass scoring actually means
Observability

Harvey Legal Agent Benchmark — what the all-pass scoring actually means

Harvey Legal Agent Benchmark brings 1,200+ legal tasks and all-pass grading to…

By Surya Koritala
17 Min Read
SWE-Bench benchmark for AI coding agents — illustration
Agent Infrastructure

Why SWE-Bench Scores Don’t Predict Production Value

I think the industry overreads SWE-Bench. It is a useful benchmark for…

By Surya Koritala
24 Min Read