Beyond the Benchmark: Why the Harness Matters

Aritoโ€™s verified Spreadsheet Bench v2 result shows why frontier models alone arenโ€™t enough. A purpose-built AI agent harness helps turn spreadsheets into structured business knowledge for Aritoโ€™s semantic layer and knowledge graph.

Why the Agent Harness Matters More Than the Model?

It’s hard to believe that our name is above OpenAI, Anthropic and Google.

Did we train a completely new model? No. Wellโ€ฆwe did initially but then we changed our approach once we learned what actually matters.

Our verified SpreadsheetBench v2 result suggests otherwise.

Thing isโ€ฆ we use frontier models too, but what makes the difference is the harness around them: spreadsheet-specific tools, visual feedback, Excelโ€™s real calculation engine, context management and verification.


๐“๐ก๐ž ๐ฆ๐จ๐๐ž๐ฅ ๐ฉ๐ซ๐จ๐ฏ๐ข๐๐ž๐ฌ ๐œ๐š๐ฉ๐š๐›๐ข๐ฅ๐ข๐ญ๐ฒ. ๐“๐ก๐ž ๐ก๐š๐ซ๐ง๐ž๐ฌ๐ฌ ๐ฆ๐š๐ค๐ž๐ฌ ๐ข๐ญ ๐ฎ๐ฌ๐š๐›๐ฅ๐ž.

And thereโ€™s a bigger reason this matters to Arito: Spreadsheets are basically executable business knowledge: forecasts, pricing logic, unit economics, assumptions and operating models.ย ๐ˆ๐Ÿ ๐ฐ๐ž ๐œ๐š๐ง ๐๐ž๐ž๐ฉ๐ฅ๐ฒ ๐ฎ๐ง๐๐ž๐ซ๐ฌ๐ญ๐š๐ง๐ ๐ญ๐ก๐ž๐ฆ, ๐€๐ซ๐ข๐ญ๐จ ๐œ๐š๐ง ๐ฅ๐ž๐š๐ซ๐ง ๐ก๐จ๐ฐ ๐š ๐œ๐ฎ๐ฌ๐ญ๐จ๐ฆ๐ž๐ซ’๐ฌ ๐›๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐ฐ๐จ๐ซ๐ค๐ฌ ๐ฆ๐ฎ๐œ๐ก ๐Ÿ๐š๐ฌ๐ญ๐ž๐ซ.

Spreadsheets then become more than files to edit. They become a ๐Ÿ๐ข๐ซ๐ฌ๐ญ-๐œ๐ฅ๐š๐ฌ๐ฌ ๐ฌ๐จ๐ฎ๐ซ๐œ๐ž ๐Ÿ๐จ๐ซ ๐จ๐ฎ๐ซ ๐ฌ๐ž๐ฆ๐š๐ง๐ญ๐ข๐œ ๐ฅ๐š๐ฒ๐ž๐ซ ๐š๐ง๐ ๐ค๐ง๐จ๐ฐ๐ฅ๐ž๐๐ ๐ž ๐ ๐ซ๐š๐ฉ๐ก – alongside CRM, ERP and warehouse data.

The ranking is great validation. But the capability underneath it is what really matters.

Nowโ€ฆ.back to building ๐Ÿš€

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About The Author

Daniel Zahavi

Founder | CEO

Daniel Zahavi is CEO of arito. He is a second-time founder and product builder with a PhD in information theory and deep expertise in data modeling and solving complex data problems. He previously founded a company focused on data infrastructure and analytics, which was successfully exited; its technology is now deployed widely across the United States. Today, he focuses on building AI-powered products and improving AI efficiency, translating cutting-edge models into reliable, scalable systems that automate workflows and deliver real business outcomes, drawing on years of hands-on experience defining, shipping and iterating products end-to-end.