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ARIA, how we built autoresearch with autoresearch

Conference Context

Session Description

ARIA is an end-to-end auto research and AI research product that improves models, launches training jobs, and agents alike. We used ARIA along with a sophisticated evaluation framework we're calling the WBAF, Weights and Biases Agent Factory, to build itself. ARIA reads its own production traces, improves its own prompts, tools, skills, and other effects to solve customer challenges. In this talk, we dive into the evaluation framework, how we built a sophisticated reinforcement learning style environment over the Weights & Biases product, and how we scaled from zero to one to a full team working in parallel on improving an agent.

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Synthesis

Synthesized Breakdown

ARIA, how we built autoresearch with autoresearch ## Conference Context - Date/time: 2026-07-01 · 11:10am-11:30am - Track/room: track TBD · Expo Stage 2 NW - Speaker(s): Zubin Aysola - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 2 NW - Session type: session - Status: confirmed ## Session Description ARIA is an end-to-end auto research and AI research product that improves models, launches training jobs, and agents alike. We used ARIA along with a sophisticated evaluation framework we're calling the WBAF, Weights and Biases Agent Factory, to build itself. ARIA reads its own production traces, improves its own prompts, tools, skills, and other effects to solve customer challenges. In this talk, we dive into the evaluation framework, how we built a sophisticated reinforcement learning style environment over the Weights & Biases product, and how we scaled from zero to one to a full team working in parallel on improving an agent.

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