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In the dual-track architecture, the background agent is suited for pairing with stable, fast, and economical models to execute already-decomposed subtasks, while the foreground agent needs to understand ambiguous natural language and decompose tasks, making it better suited for more capable flagship models.
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Long-term
Relevance
9/27/2026
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