ALTK‑Evolve: On‑the‑Job Learning for AI Agents
Most AI agents re‑read transcripts instead of learning principles, so they repeat mistakes and don’t transfer lessons to new situations. ALTK‑Evolve turns raw agent trajectories into reusable guidelines. In benchmarks, the approach boosted reliability, especially on hard (Δ 14.2% on AppWorld), multi‑step tasks, without bloating context. The “eternal intern” problem Imagine a brilliant line cook who has memorized every cookbook but forgets your kitchen every morning. They don’t remember your oven runs hot, or that regulars like extra salt; they’ll […]
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