A Fig Super Agent workflow created from plain-language instructions

Super Agent

Delegate the whole job.

A long-running autonomous agent grounded in enterprise context: it plans, works across your tools and the web, checks in when it matters, and returns finished work.

Own outcomes, not steps.

Describe a role, get an agent

Plain language or an agent template is enough: define the outcome, tools, and rules, and your Super Agent arrives ready to work.

Work that runs for hours

Long-horizon tasks keep moving on the agent's own environment while it loops you in before anything significant.

Grounded in enterprise context

Live, permission-aware company knowledge and systems keep every output accurate and secure.

Autonomous agents

AI agents that think for themselves.

Autonomous agents interpret plain-language instructions, plan an approach, and choose the right steps to solve complex enterprise use cases.

A Fig agent editor with instructions, knowledge sources, and a live preview

No-code builder

Automate your workflows with AI.

Use a visual builder to create workflow agents, ensuring they follow the right process every time while remaining easy for teams to inspect and improve.

A branching workflow assembled in the Fig agent builder

Conversational agent builder

Vibe code agents.

Create agents conversationally or build them manually. Refine each step, add logic, and connect data to unlock sophisticated agents quickly.

Creating a Slack summary agent from natural-language instructions

Security and compliance

Safely connect agents to company knowledge.

Connect agents to live company data, enforce permissions automatically, and choose the right model for each use case while keeping information protected.

Governed Fig agents connected to enterprise applications and context

Version control

Keep iterating without losing your work.

Every change is versioned automatically, making it easy to test, roll back, and refine agents without interrupting live workflows.

A searchable library of versioned Fig agents

From idea to deployment

How Super Agent works.

Creating an RFP agent from a plain-language request
01Describe

Provide plain-language instructions for a workflow or autonomous agent, and Fig builds the first version for you.

Enterprise systems connected through a Fig agent network
02Connect

Securely link enterprise data sources, systems, and third-party APIs with permissions intact.

Debugging a multi-step Fig agent workflow
03Refine

Test outputs, debug each step, and adjust instructions until the agent performs as intended.

Loop configuration for a deployable Fig agent
04Deploy

Publish with drafts, versioning, and rollback controls so updates remain seamless and controlled.

Creating an RFP agent from a plain-language request
Enterprise systems connected through a Fig agent network
Debugging a multi-step Fig agent workflow
Loop configuration for a deployable Fig agent

Connected enterprise context

Fig understands your data everywhere it lives.

Connect the tools your company already relies on. Fig keeps source permissions intact while giving Assistant the context behind the work.

Google DriveSlackGmailNotionJiraGitHubSnowflakeHubSpot
View all connectors →

Delegate your first whole job to Fig.

Get a demo

Be the next big thing

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