Design and deploy AI agents with no code. Build task- or goal-driven agents in an AI-assisted visual studio. If you can describe the workflow, you can automate it.
Turn intent into production-grade agents
Use plain English to describe what you want to automate. AI proposes a plan with suggested actions and tools.
Visual forms and blocks let you add tools, set conditions, add approvals - no coding required.
One-click testing with sample data. Run safe dry-runs before going live.
Move from draft > review > production with built-in approvals, version controls, and RBAC-managed publishing rights.
Plain English → actions & tools suggested. Auto-generated params, schema hints. If you can describe it, you can automate it.
Automatically surfaces tools from the Model Context Protocol (MCP) layer and zero-shot generated actions, giving you real system capabilities to design with.
Every connector becomes instantly available in the Builder.
Query SaaS APIs, read/write records, and interact with databases.
Add domain-specific operations using your organization's MCP servers.
Connect your Data Lake, DB and other sources to empower agents.
Built for production from day one
Drafts, revisions, rollbacks
Fine-grained roles for builders, reviewers, and publishers
Required checkpoints before promotion
Runs, latency, success rate, traces
Full logs, PII controls, redaction
Run agents where your teams and workflows actually operate
