Start with the job, not the model.
Define the outcome, tools, inputs, outputs, policy, limits, and measures before granting autonomy.
Give agents explicit jobs, tools, memory, success criteria, and limits. Compose them into durable systems, inspect every decision, and prove they are improving before you expand their authority.
Real work needs explicit authority, durable context, fallbacks, cost control, human judgment, evidence, and a way to know whether the system is improving. Agent Studio makes those the product.
Define the outcome, tools, inputs, outputs, policy, limits, and measures before granting autonomy.
Build sequential, parallel, conditional, scheduled, and human-approved teams without hiding the orchestration.
Trace decisions, compare behavior, run evaluations, inspect cost, and expand authority with proof.
Agent Studio spans design, orchestration, tools, policy, observation, evaluation, and publishing—because a prompt box is not an operating system.
Specify role, model, instructions, memory, knowledge, tools, and limits.
Compose durable logic across agents, systems, and human decisions.
Assign clear specialties and contracts inside a coordinated agent team.
Connect governed external tools and capabilities through explicit scopes.
Start work from events, schedules, state changes, or direct requests.
Inspect every model call, tool use, handoff, decision, and output.
Test quality, safety, cost, latency, and groundedness against real cases.
Publish trusted agents and capabilities for others to reuse.
An individual can build a focused helper. A team can compose specialists. A business can govern a portfolio of digital labor on shared infrastructure.
Build a research, planning, monitoring, or production agent around your own context and standards.
Compose agents with people, tools, approvals, and visible measures of quality.
Manage authority, policy, spend, evaluations, versions, and outcomes across the organization.
Autonomy expands only as the evidence earns it.