Operationalizing Long‑Context Agents: Cost‑Effective, Verifiable Memory at Scale
Practical patterns to run multi‑million‑token agents: KV‑cache grafting, partition‑prompt‑aggregate, long‑context replay, and audit‑first memory.
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4 essays filed under Cost Optimization.
Practical patterns to run multi‑million‑token agents: KV‑cache grafting, partition‑prompt‑aggregate, long‑context replay, and audit‑first memory.
Read essayA practical metering model for agents: bill by work units, not tokens. Prevent leaks, rein in costs, and keep provenance using an enforceable boundary.
Read essayRising SaaS AI costs? An engineering-first playbook to shift workloads to a staged, hybrid self-host strategy without disrupting the business.
Read essayArgues for hybrid agent architectures that distill signed skills to devices, cutting cloud costs, reducing data exposure, and escaping platform gatekeeping.
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