Build
Create specialized agents with approved instructions, context, tools, and workflow goals.
AgentShelf gives teams one control plane for specialized agents, approved context, business surfaces, usage visibility, budget controls, and reusable workflows.
Agent instructions and approved context
Website, workspace, and API
Budget, access, and usage traces
Shared workflow library
Teams are adopting point tools, browser chats, custom bots, and one-off agent builds faster than leaders can govern usage, cost, access, and results. AgentShelf turns that sprawl into reusable business AI operations.
AgentShelf connects agent creation, approved context, tools, runtime surfaces, usage records, cost reporting, and marketplace reuse so operators and builders can move from one-off experiments to managed workflows.
Create specialized agents with approved instructions, context, tools, and workflow goals.
Launch agents across websites, team workspaces, widgets, APIs, and embedded products.
Turn proven agents into shared library assets instead of rebuilding the same workflow.
Track usage, budgets, access, model behavior, and value by workflow surface.
Turn website visits into qualified conversations, lead context, support handoffs, and a measurable first AI workflow.
Open product pageGive teams agents that work with approved company context, structured outputs, and repeatable handoffs.
Explore enterpriseLaunch agentic workflows without rebuilding runtime, context, connectors, billing, libraries, and governance.
Work with usAgentShelf makes model access and usage accountable with visibility, budget enforcement, request blocking when limits are exceeded, attribution, and billing records tied to the workflows creating value.
Explore cost governanceModels, users, teams, workspaces, agents, and runtime surfaces.
Enforce spend limits and block over-budget requests.
Govern provider and model access from one control layer.
Tie tokens, cost, and workflow value together.
AgentShelf gives founders, agencies, internal builders, and platform teams the infrastructure needed to create, connect, deploy, and monetize agent workflows without rebuilding the surrounding platform.
Define specialist agents, context, instructions, and reusable workflow patterns.
Use widgets, APIs, SDKs, workspaces, and external-agent sessions.
Connect agents to business systems, automation, and structured handoffs.
Share org-scoped agents and publish public marketplace-ready workflows.
Separate website-safe runtime behavior from private workspace context and admin-controlled access.
Review request traces, tool calls, token usage, model/provider details, and cost signals.
Preserve control over model access, budgets, agent availability, and workspace rollout.
Launch the AI Front Desk for immediate website value, or walk through the platform path for teams, builders, and controlled AI adoption.