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Agent Studio

Build AI Agent Systems โ€”From Idea to Production

One unified system for designing, validating, and running multi-agent workflows. Not a collection of tools โ€” a platform that takes you from concept to live execution without switching context.

Designโ†’
Validateโ†’
Runโ†’
Improve
See It In Action

Watch an Agent System Come to Life

From a plain-English brief to a running multi-agent workflow โ€” in minutes.

Watch the video: Watch an Agent System Come to Life

What is Agent Studio

The system where agents are built โ€” and run

Agent Studio is not a prompt interface. It is a structured development environment where multi-agent systems are designed, validated, and executed โ€” all in one place.

No prompt engineering. No fragmented tools. No separate deployment step. Design your system, test it against real inputs, and run it โ€” inside the same environment.

Not prompt-based โ€” system-first architecture
Not fragmented tools โ€” one unified environment
Execution is native โ€” deploy directly from the canvas

Traditional approach

โœ—Prompt separately
โœ—Deploy with different tools
โœ—Debug blind
โœ—Tune manually

Agent Studio

โœ“Design as a system
โœ“Execute natively
โœ“Full observability
โœ“Self-improving via action scores
How It Works

Four steps. One system.

๐ŸŽจ01

Design

Describe your workflow in plain English, and the studio turns it into a structured multi-agent system: roles, logic and data flows.

๐Ÿงช02

Validate

Run your system against real and synthetic inputs. Evaluate outputs across quality, alignment, and task completion before a single user sees it.

โšก03

Run

Deploy directly from Agent Studio. Agents execute autonomously โ€” routing tasks, calling tools, passing context, and handling exceptions in real time.

๐Ÿ”„04

Improve

Every run is given an action score. Outputs are scored, prompts refined, routing adjusted, so agents compound in performance automatically, no retraining needed.

Core Capabilities

Everything in one system

๐ŸŽฏ

System Design

Define multi-agent architectures โ€” roles, routing logic, decision trees, and interaction patterns โ€” all from a single canvas or a plain-English description.

๐Ÿงช

Simulation & Evaluation

Test agent systems against real inputs before production. Multi-dimensional scoring across accuracy, tone, task completion, and compliance.

โšก

Execution Layer

Agents run natively inside Agent Studio. No separate deployment product. No extra configuration. Design-to-execution in one environment.

๐Ÿ“ˆ

Continuous Improvement

Action scores automatically refine prompts and routing after every run. Agents get smarter without you touching a line of code.

Visual Builder

A canvas built for systems, not prompts

๐ŸŽจ

Drag-and-drop canvas

Build agent workflows visually โ€” nodes, branches, loops, and decision points on an infinite canvas.

๐Ÿ’ฌ

Natural language โ†’ system

Describe the outcome you want, and the studio drafts the agent architecture behind it for you to review.

โš™๏ธ

Canvas plus extensibility

Business teams use the canvas. Engineering teams extend through the SDK, API and code editor: one system, both surfaces.

Agent Studio โ€” Marketing Workflow

Brief Intake

Synthesizer

Research Agent

Teacher

Copy Generator

Executor

QA & Publish

Validator

Observability

Know exactly what your agents are doing

Full trace visibility for every agent run โ€” per-step inputs, outputs, latency, and quality scores. No black boxes.

94%

Average task success rate

4.2ร—

Faster than manual execution

โ†‘38%

Output quality after 30 days

0

Retraining required

Live Run โ€” Campaign Brief Agent

Running

Output Quality

94%

Goal Alignment

91%

Task Success

97%

Response Time

88%

Customisation

Adapt to your context

Agent Studio connects to your data, your tools, and your models โ€” so agents act with your context, not generic defaults.

๐Ÿ“š

Knowledge

Inject documents, databases, and domain expertise as structured memory agents can query at runtime.

๐Ÿง 

Memory

Agent memory gives agents persistent context across sessions, so they act with continuity, not just instructions.

๐Ÿ–ผ๏ธ

Multimodal

Agents work across text, image, audio, video, and code โ€” using whichever models best suit each task.

๐Ÿ”Œ

Integrations

Connect to 800+ tools โ€” Salesforce, Slack, Google Workspace, GitHub, Notion, and more โ€” without custom plumbing.

Use Cases

Built for every function

๐Ÿ“ฃ

Marketing

Brief-to-content pipelines, campaign reporting, SEO automation

๐Ÿ’ผ

Sales

Lead research, outreach personalisation, CRM updates, proposal generation

๐ŸŽง

Customer Support

Tier-1 resolution, escalation routing, knowledge base maintenance

โš™๏ธ

Operations

Invoice processing, vendor comms, compliance monitoring

๐Ÿ‘ฅ

HR & People

Candidate screening, onboarding, policy Q&A agents

๐Ÿ› ๏ธ

Engineering

Bug triage, docs generation, sprint summarisation

๐Ÿ“Š

Finance

Report generation, spend analysis, reconciliation agents

๐Ÿ”ฌ

Research

Competitive analysis, literature review, insight synthesis

Enterprise

Production-ready from day one

Agent Studio is built for organisations that need real autonomy, real control, and real compliance โ€” not just demos.

Talk to Solutions Team
๐Ÿ”’

ISO/IEC 27001:2022 certified

Security controls and audit logs that satisfy enterprise compliance requirements. SOC 2 Type II programme underway.

๐Ÿ›ก๏ธ

Role-based access control

Granular permissions across agents, workflows, data sources, and teams.

๐Ÿ“

Private cloud deployment

Deploy on GCP, AWS, or Azure. Your data never leaves your boundary.

๐Ÿ“‹

Full audit trails

Every agent action logged with timestamps, inputs, outputs, and decision paths.

FAQ

Questions about Agent Studio

Everything you need to know about building and running AI agent systems on Nagent.

Get Started

Your agentic system is one workflow away.

Open Agent Studio, describe your first workflow, and shape the teammates who will run it with your people.