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Agent design, harnesses, memory, and operating patterns.
Which agent changed this, under whose authority, and what did it see? Most teams cannot answer, and the EU AI Act's six-month log retention is the least of why that matters.
Teams ask for memory and buy an embedding store. An index cannot say what the agent decided last time or whether it was allowed to. A ledger can, and the approval gate comes first.
Ten tests passed in 3.227 seconds and the change still was not merge-ready. The six questions a handoff must answer before an agent-authored patch ships.
The first useful agent I built was not a digital employee.
An agent can pass its tests and still ship a silent regression. The model completed its task. The production system failed.
Most ambitious people do not fail from laziness.
Use independent positions, shared evidence, one bounded disagreement, and a named authority for decisions that deserve a second reasoning path.
Build a tested agent journal that turns verified observations into scoped rules and retrieves them before the next matching decision.
You know the feeling. The agent that nailed everything this morning is now making mistakes a beginner would not make. It just got noticeably worse over the sess…
Most people still judge agents by model quality. Packaging workflows as Hermes plugins is the hard part: contracts, distribution, and operator loops.
They will route every task to the most expensive brain in the room.
Most people treat Claude memory like a bigger notebook.
The argument over prompt engineering versus context engineering is already stale.
Self-hosted mission control for AI agent fleets: what v2.1.0 is for, how to install the mental model, and the operator checklist after clone.
Model, tools, context, harness - the compact production checklist before you trust an agent with real work.
Why agents go sloppy mid-session without a clean error - and the four practices that stop silent context death.
LangChain jumped from Top 30 to Top 5 by changing zero model parameters. The teams shipping production agents have the best harness, not the best model access.
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Skills, memory, jobs, handoff - one checklist. Occasional notes when something ships. Hands-on later: packages from $3K.
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