Build Agents
Visually.
AI Studio is a visual workflow canvas for designing, orchestrating, and deploying intelligent agents. Wire up LLMs, vector stores, Kubernetes actions, and custom logic — then ship to production with built-in CI/CD.
Your Agent Logic,
Laid Out on a Canvas
A node-based workflow canvas purpose-built for AI agent pipelines. Drag in LLMs, connect vector stores, route decisions through conditional logic, wire up Kubernetes actions — all visually.
Infinite Workflow Canvas
Drag-and-drop nodes onto an infinite canvas. Connect them to define data flow, decision trees, and reasoning chains. Zoom, pan, and group — just like a whiteboard, but it runs.
First-Class LLM Nodes
Drop in any LLM — GPT-5, Claude, Gemini, Llama, or fine-tuned models. Configure prompts, temperature, and output parsing directly on the node.
Vector Store & RAG
Build retrieval-augmented generation pipelines visually. Connect vector databases, define embeddings, similarity thresholds, and reranking on the canvas.
Conditional Routing
Condition, Switch, Split, and Join nodes for multi-path workflows. Route based on LLM output, confidence scores, or custom logic.
Tool & API Integration
REST APIs, HTTP requests, Slack, email, Kubernetes operations, or MCP-compatible tool servers. Define schemas visually.
Real-Time Debug & Trace
Step through workflows node-by-node. Inspect intermediate outputs, token usage, latency, and decision paths in real time.
Five Categories.
Infinite Combinations.
Every building block you need — from event triggers and flow control to infrastructure actions, data transformations, and AI-native tools.
Triggers
Control
Actions
Data
Tools
Ship Agent Code
Like Software
Built-in CI/CD with git-backed versioning, automated testing, staged deployments, and rollback.
Continuous Integration
Git-native builds with automated testing on every commit.
Staged Deployments
Manual gates for production. Auto-deploy to devtest.
DORA Metrics, Built In
Track deployment frequency, change failure rate, lead time, and recovery — all automatically calculated.
From Idea to Production
in Four Steps
Design
Open the visual canvas. Drag in LLM nodes, vector tools, K8s actions, and control flow. Connect them into your agent workflow.
Configure
Set up blueprints for external services. Define schemas, auth, and environment profiles. Attach them as reusable nodes.
Test
Run workflows end-to-end on the canvas. Step through nodes, inspect outputs, tune prompts — all in real time with the visual debugger.
Deploy
Push to git. CI/CD builds, tests, and deploys to staging and production with approval gates and instant rollback.
Stop Writing Agent Spaghetti.
Start Building Visually.
Design, test, and ship production AI agents — with the clarity of a visual canvas and the rigor of enterprise CI/CD.