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Model intelligence is no longer the constraint for automation
Why automation lags even as models get better
For a company with thousands of interdependent workflows, this would require an endless amount of authoring and updating specifications and adapting context pipelines. Build an intelligent middle layer of episodic memory systems so agents can browse context, discard what is not needed, and save what is relevant. Longer term, we can reduce the human bottleneck by shifting local context from prompts into weights, so agents infer specs the way people do after enough repetitions.
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