Explore evidence-led notes on where AI should run, what agents need after the demonstration, and how technical mechanisms change workflow economics. Claims are bounded to their workload and evidence.
Separate context windows, key-value cache, prefix caching, and persistent application memory before choosing an LLM design. The context-path test connects evidence position, token-weighted reuse, cache capacity, concurrency, latency, retention, and accepted output instead of treating a larger advertised window as dependable memory.
