AgentShelf helps businesses build, run, and manage specialized AI agents without writing code or losing track of model costs.
Most companies start using AI with one-off chatbots and disconnected API experiments. Before long, they run into two common headaches: unpredictable LLM bills and no clear way to control what tools or data those models can touch. AgentShelf solves this by giving teams dedicated workspaces for each job, approved business context, and pre-built workflows, like AI Front Desk for website visitor intake and customer questions.
Under the hood, AgentShelf acts as the operational guardrail. It includes a built-in LLM gateway with strict budget caps, prompt versioning, access boundaries, and end-to-end usage logs. Teams can test and swap models freely, automate everyday business tasks, and scale their AI usage with clear visibility into what’s running and what it actually costs.
