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New open-source benchmark scores AI agents on their ability to learn and perform complex tasks

Published

16 September 2026

Topic

technology

◆ Sectors

AI AgentsAI Infrastructure

◆ Geography

United States

◆ Source

Read at app.dealroom.co →

◆ Verified

Fusion42 · 16 September 2026 · Fusion42 review

Brackett AI has launched the Agent Effectiveness Index, an open-source benchmark evaluating AI agents on complex operational tasks including business understanding, execution, and learning persistence, comparing systems from Brackett, OpenAI, and Anthropic.

This Wire brief sits within Fusion42's coverage of AI Agents and AI Infrastructure, and 2 sources have reported it between 16 Sep 2026 and 21 Sep 2026.

◆ ◆ The Wire takeaway

You can use this new benchmark to prove your AI agent’s real-world skills beyond typical tests, opening doors to enterprise clients needing reliable operational AI. This also puts pressure on agent builders to improve judgement and exception handling now.

◆ Coverage

2 sources · first reported 16 Sep 2026 · latest 21 Sep 2026

◆ Related on Wire

◆ Topics

AI AgentsAI Infrastructureai-agentsbenchmarkopen-sourceagentic-aioperational-ai