Woyce
Each one is purpose-built, eval-covered, and handed over with tracing so you know what it's doing in production.
Every agent we build follows the same four-phase cycle. It's what separates an agent from a chatbot.
Receives a trigger — an inbound email, a form submission, a cron schedule, or a manual API call.
Breaks the goal into an ordered sequence of sub-tasks and decides which tools to call and in what order.
Executes — calling APIs, querying databases, writing outputs — and self-corrects when a tool returns an error.
Logs the full run, returns the result, and escalates to a human if confidence falls below the threshold.
We adapt the same agentic architecture to whichever vertical you operate in.
Provider-agnostic from day one — swapping a model or vector DB doesn't mean rewriting your agent.
A custom AI agent is an autonomous system that perceives a trigger, plans a sequence of actions, calls external tools and APIs, and returns a result — without a human in the loop for each step. Unlike a chatbot that answers questions, an agent completes multi-step tasks end-to-end.