Two tools for building an agent fleet.
Before you wire up a marketing agent, two questions decide whether it earns its keep or ships something embarrassing at 2 a.m. First: what shape is it? Build around the archetype, not the use case, and one agent gets reused across eight domains. Second: is the plumbing underneath it ready for production? The first tool answers the shape. The second pressure- tests the plumbing.
Tool 1
What's the agent's job?
Six archetypes, four jobs. Pick the one verb that describes the core of what this agent does. Build around the shape, then reuse it across the eight domains.
Two of these resolve in one tap. The other two ask one follow-up.
Tool 2
Six layers, one yes/no each.
These are the six things AgentOps actually does: the unglamorous discipline that keeps an agent from being the next TechCrunch headline. Answer honestly. A weak layer you can name is a problem you can fix.
- 1. Goals & Boundaries. Is there a written objective with explicit don'ts, an escalation matrix, and an approved tool list, including hardcoded prohibitions on destructive tools?
- 2. Tool & Data Connectivity. Do agents reach your systems only through validated interfaces (MCP servers with auth, logging on every call), with no ungated delete_* or send_to_all_* actions?
- 3. Orchestration. Is coordination explicit, a deterministic state graph or role-bounded crew with checkpoints, and does every chain have a guaranteed stopping condition?
- 4. Evaluation & Testing. Is there at least one golden dataset and a regression set that grows with every incident, scored by an LLM-as-judge against a frozen rubric, not just spot-checks?
- 5. Observability. Do you capture the reasoning trace, tool calls, tokens, latency, and a quality score per session, so you can answer why the agent did each thing?
- 6. Governance & Drift. Are prompts versioned, audit logs immutable, runtime guardrails live, and cost caps plus drift alerts in place to catch the slow week-four decay?