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Google's Harness² framework boosts AI agent performance by optimizing prompts and tools

Google Cloud AI Research and Northwestern University have developed Harness², a framework designed to enhance AI agent performance without altering the core model. This system focuses on optimizing the surrounding components like prompts, tools, and skills. Experiments on the WorkBuddy-Bench benchmark demonstrated that Harness² could significantly improve scores, with one instance showing an 11.5-point increase for GLM-5 by modifying its harness. AI

IMPACT This framework could lead to more capable AI agents by improving their performance without requiring more powerful underlying models.

RANK_REASON The item describes a new framework and benchmark results for improving AI agents, which falls under AI research.

Read on Medium — Anthropic tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Google's Harness² framework boosts AI agent performance by optimizing prompts and tools

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The item describes a new framework and benchmark results for improving AI agents, which falls under AI research.
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infra, product
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COVERAGE [2]

  1. Medium — Anthropic tag TIER_1 English(EN) · BrightmindAI ·

    What Happens When You Ask an AI Chatbot About the Midterms

    <div class="medium-feed-item"><p class="medium-feed-snippet">With the 2026 midterms just days away, a lot of people are asking Claude and ChatGPT questions about candidates, polling places, and&#x2026;</p><p class="medium-feed-link"><a href="https://brightmindai.medium.com/what-h…

  2. dev.to — LLM tag TIER_1 English(EN) · Guillermo Baigorria ·

    What Google's Harness2 shows about improving an AI agent

    <p>Harness² is a framework from Google Cloud AI Research and Northwestern University that improves an AI agent without touching the model. The model stays frozen; only its harness changes: the prompts, tools, skills, and scripts around it. On WorkBuddy-Bench, a benchmark of offic…