TLDR Tech / Fintech
Why the AI application layer still wins
AI applications are not just interfaces but orchestration “harnesses” that structure tasks, manage memory, enforce contracts, and integrate tools, enabling them to outperform raw models on real workflows. Application companies have structural advantages: they minimize tokens per outcome, route across multiple models for efficiency, and continuously improve via feedback loops embedded in the harness. Over time, evolving harnesses that learn from execution data create proprietary workflow knowledge, forming a durable moat that model providers cannot easily replicate.
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