TAHI proposes adapting AI agents to individual expertise at test time

The post introducing TAHI says the framework adapts agents through context, including memory and skills, and weight training. It also describes creating rubrics for “non-verifiable” tasks and examining shared guidelines alongside personal expertise. A separate October 9 post says the work was being presented in an invited talk at LSEI during COLM 2026.