Agent Studio is an NLP-powered design environment. Describe the job, and the Studio assembles a super agent that coordinates a team of specialized sub agents to execute the business task end to end.
Everybody will soon have access to numerous agents that each perform a task. The hard problem is coordination — and that is what a super agent does.
Super Agent
Release agents into production with provisioned resources and token budgets. New agents are wired into existing multi-agent systems and integrated with your business systems through governed APIs.
Sub Agents
Centralized tracking of accuracy, latency, and resource consumption — with real-time logging, error tracking, and performance analytics across every agent you run.
Eight levels of multi-tenancy — from group and tenant down to domain, project, team, and individual agent — so business units, departments, and subsidiaries share a platform without sharing data.
Four development modes on one canvas — so business analysts and platform engineers ship the same workflow.
Design on the visual canvas, or describe the workflow to the Ask AI conversational builder and let it assemble the orchestration for you.
Configure agents through the onboarding UI without touching a repository.
Write custom agent logic in Python against a published, versioned agent schema.
Mix marketplace agents and custom agents in the same super-agent workflow.
Drag-and-drop orchestration with parallel and sequential execution groups, decision nodes, and human-decision gates — mixed freely in one workflow.
Every node exposes its full configuration: models, tools, memory, knowledge bases, prompts, policies, guardrails, and schema — assignable at the individual stream level. An AI co-pilot is live on the canvas, aware of every agent in the workflow, and able to refine patterns, add agents, or restructure the orchestration conversationally.
Parallel groups support configurable join strategies — wait for all, wait for any, or majority — and routing decisions can follow agent capability, domain expertise, load, cost, or custom logic.
A super agent is fully defined by a single, exportable orchestration schema — a complete multi-agent workflow specification covering:
Defined in open JSON Schema. Exportable. If you ever leave, your workflows go with you.
Orchestrations move through a controlled lifecycle, validated against the schema before they ever reach your catalog.
1
Start from one of 15 pre-built orchestration templates — recruiting, KYC, code conversion, customer support, and more — or from a blank canvas.
2
Assign sub agents and bind resources: knowledge bases, models, policies, guardrails, and prompts.
3
Set rules, guardrail thresholds, and human-handoff gates. Validate against the orchestration schema.
4
Run in a dedicated sandbox with test data and batch evaluation across the Panel of Judges metrics.
5
Promote through dev, QA, and production environments — versioned, auditable, and reversible.
Starting from a template, teams typically build their first working super agent in 6–50 minutes. Production hardening with your enterprise integrations takes days to weeks, depending on how many systems you wire in.
0 minutes. A live super-agent walkthrough.
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