Agents that ship, operate, and improve
Scoping, building, and hardening Claude agents that own real workflows. Evaluation-driven, tool-integrated, and designed to run under real operational load.
Scope of engagement
- Custom Claude agents scoped to a specific business process or operational workflow.
- Multi-agent orchestration: planner, worker, critic patterns and handoff protocols.
- Tool integration with internal APIs, databases, ticketing, and control planes.
- Evaluation harnesses built from real tasks, not synthetic benchmarks.
- Human-in-the-loop approval flows for mutating and high-risk actions.
- Deployment using the Claude Agent SDK and Managed Agents where appropriate.
Why agent engagements benefit from operational experience
Agents are only as good as the tools they call and the data they reason over. Our team spends its day job wiring production systems to APIs, building resilient tool layers, and debugging distributed failures. That background shows up in how we design tool interfaces, how we test agents against real-world flakiness, and how quickly we spot the patterns that will not survive production.
A predictable path from scope to running system
Scope
Define the exact workflow the agent will own, the tools it needs, and the success criteria. Narrow beats broad every time.
Design
Decompose into model, tool, memory, and control-flow decisions. Decide single-agent vs multi-agent up front.
Build
Implement the agent, its tools, evaluation set, and approval flows. Ship to a staging environment.
Harden
Run red-team scenarios, measure against the evaluation set, instrument observability, and promote to production.
What clients walk away with
A working agent, not a prototype
The engagement ends with a deployed agent your team operates, evaluates, and iterates on.
Clear evaluation story
Every agent arrives with a measurable baseline and a regression harness so you know if it gets better or worse.
Safe by construction
Approval flows, tool scoping, and logging are built in from day one, not retrofitted under pressure.
Common questions
Single agent or multi-agent?
Whichever is simpler for the task. Most real workflows run fine as a well-scoped single agent with good tools. We only reach for multi-agent patterns when the complexity justifies the cost.
Do you use the Claude Agent SDK?
Yes, where it fits. We also work with raw API patterns, Managed Agents, and frameworks clients have already adopted. The tool is chosen to fit the engagement.
How do you stop an agent going off the rails in production?
Narrow tool scoping, explicit approval gates on write operations, evaluation against failure modes, comprehensive logging, and strict budgets on tool-call depth.
Can the agent learn over time?
Through updated prompts, retrieval corpora, and evaluation-driven iteration. We do not ship opaque fine-tuning loops that drift silently.
Start a conversation
Tell us about the system you're building or the decision you're trying to make. We'll match you with a specialist.