Designing the agent and its tools
We define what the agent is allowed to do, the tools it can call, and the boundaries it must respect, in the same way we would design any serious service.
“Hi, I'm Co-Head of AI Engineering here at Hoshi Digital, focused on agentic orchestration and LLMs. If you book a call with us I'll make sure to attend and we can discuss your needs and ideas together.”
Long, multi-step tasks
Real work rarely fits in a single prompt. We architect agents that can plan, retry, and pick the work back up where they left off.
Memory and context
We give the agent the right context at the right time: customer history, documents, system state, without overwhelming the model or leaking data.
Clean handoffs between agents
When a job spans multiple specialists, we design how agents hand work off, so nothing is lost and a human can always see what happened.
Safety, testing, and rollback
Approvals on risky actions, automated test suites, audit trails, and a clear way to pause or roll back. The discipline that turns demos into production.
