ALTK‑Evolve Uses Learned Memory to Top τ²‑Bench Retail Customer‑Service Leaderboard with GPT‑4.1

ALTK‑Evolve builds a playbook of short behavioral rules by analyzing past task attempts with GPT‑4.1, then appends those guidelines to the system prompt of a stock ReAct agent. The agent achieves a 67.5% Pass^4 score on the τ²‑Bench retail domain, surpassing all other retail entries in the October 12, 2026 leaderboard snapshot, without any model weight updates or human annotation.