AI agents and multi-agent harnesses
Agents look fast in demos and still fail in production. Loops, invented tools, missing approval gates, and silent side effects show up the moment real users and real permissions arrive.
Why common approaches fail
Most teams ship a prompt plus a tool list. That skips the harness: role boundaries, tool registries, egress controls, eval gates, and operator handoff. A successful tool call is treated as success even when the task is unfinished.
Activation insight
A successful tool call does not mean a successful task. Production agents need task-level success criteria, not only step-level telemetry.
How Knackline solves it
We design the harness first: roles, tool contracts, human gates for irreversible actions, evaluation suites drawn from real failures, and kill switches that ops can actually use.
System components
Role and tool registry
Explicit capabilities per agent, versioned tool schemas, and side-effect classes.
Approval and write gates
Human review for irreversible or high-blast-radius actions.
Multi-agent coordination
Topology, memory boundaries, and handoff contracts that survive more than a notebook.
Eval harness
Task success, tool misuse, loop detection, and regression gates in CI.
Operational hardening
Sandbox egress, containment, feature flags for tools, traces tied to task outcomes, and runbooks so the team that inherits the system can operate it at 2am.
Evidence from reports
Multi-agent harness deployment: from notebook demos to gated production runners
Agents that finish a notebook script often collapse when permissions, retries, and handoffs meet real traffic.
Evaluating AI agents: prove controls before you raise autonomy
Teams ship agents without eval gates, a kill path, or a way to reconstruct a bad run.
Human-in-the-loop write gates for agentic workflows
An agent that can draft a refund is useful; an agent that silently posts it is an incident waiting for traffic.
Implementing AI Agent Containment Controls
Teams grant network or write tools before kill switches, egress ACLs, and run-level traces exist
FAQ
- Do you build autonomous agents or copilots?
- We build agent systems with clear control surfaces. Autonomy is a dial, not a slogan. Operators keep kill switches, approval gates, and evaluation for the failure modes demos hide.
- What does a multi-agent harness include?
- Roles, tool registries, memory boundaries, coordination rules, human gates for irreversible work, and evals that measure task success rather than only latency.