21 August 2026

Startup trains smaller AI model to handle changing tool interfaces

• TaoLive developed a training method called Harness-Aware Training that teaches a 35-billion-parameter model (a mid-sized AI system) to adapt to different tool interfaces instead of memorizing one fixed version.
• The model learns during training to interpret variable tool names, schemas (the structural blueprints of tools), and prompt structures, making it flexible across different setups.
• The company tested this approach specifically in live commerce, the real-time sales environment where product catalogs and interfaces frequently change.

How it was covered

TLDR AITLDR editorial team

Harness-Aware Training teaches a 35B parameter model to interpret variable tool names, schemas, and prompt structures during fine-tuning rather than memorizing one fixed interface. Evaluation is concentrated in live commerce.