We design and build Claude agents — orchestration, tool schemas, and memory — for multi-step workflows that hold up running unattended in production.
Claude Agent Developers for Multi-Step, Tool-Using Workflows
In short: Northell's Claude agent developers design orchestration, tool schemas, and memory for multi-step workflows that run unattended in production.
Key takeaways
- Orchestration and tool-schema design for multi-step, multi-tool tasks.
- Memory and state management so agents stay coherent across long runs.
- Human-in-the-loop escalation paths for anything the agent shouldn't own alone.
Frequently asked questions
What counts as an 'agent' versus a simple LLM feature?
An agent plans, calls tools, evaluates results, and decides its next step across multiple turns without a human driving each one. A simple LLM feature is a single request-response call.
How do you prevent an agent from taking a wrong action?
Scoped tool permissions, confirmation steps for irreversible actions, and evaluation against known failure cases before it ever touches production data.
Can agents run unattended, or do they always need a human watching?
Depends on the task's blast radius. Low-risk, reversible tasks can run unattended with logging; anything with real consequences gets a human checkpoint by design.
What frameworks do you use to build agents?
We build directly on Anthropic's tool-use API and the Claude Agent SDK where it fits, adding orchestration frameworks only when the task genuinely needs them — not by default.
How do you test an agent before it goes live?
Scenario-based evals covering the task's real edge cases, plus a staged rollout — shadow mode, then limited production traffic, then full rollout.