Start as a productized service that selects one repeatable workflow, maps the human decision path, builds the agent, creates eval tests, connects source systems, and deploys it with monitoring and fallback controls. The first version is delivered manually by a small technical team using existing LLM^? APIs^?, workflow tools, and lightweight custom code. Over time, the reusable assets become templates for agent authoring, evaluation, feedback loops, and controlled deployment.

Multiple companies are hiring specifically for agent authoring, evaluation, self-improvement, deployment, and human-agent orchestration. The market is moving past chatbots toward agents that actually perform work, but implementation reliability remains scarce.