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
.webp)
Runs, latency, success rate, traces
Full logs, PII controls, redaction
Run agents where your teams and workflows actually operate
