Workflow agents
Agents that gather context, use defined tools, complete bounded tasks, and return inspectable results.
AI Agent Development
Useful agents need more than a prompt. We design the tools, state, permissions, evaluation, retry behavior, cost controls, and human handoffs that make an agent workflow operable.
What we can build
Focused product engineering tied to a clear user problem and release goal.
Agent infrastructure
Model routing, gateway integration, state, queues, metering, and operational visibility.
Evaluation systems
Scenario tests, quality checks, failure analysis, and human review for risky or ambiguous actions.
How the work moves
Small, visible steps from product question to useful release.
Bound the job
Identify what the agent may do, what it must never do, and when a person takes over.
Design tools
Give the agent narrow, typed capabilities instead of broad, hidden access.
Evaluate
Test expected work, edge cases, cost, latency, and failure recovery.
Operate
Ship with logging, alerts, usage controls, and an improvement loop.
Built from multi-model experience
AgentWhip is our gateway and operating surface for multi-model agent workloads.