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01 Define Intent
02 Train & Test
03 Deploy
04 Monitor

Define Your Agent's Intent

Describe what your agent should do in natural language. We'll generate the Agent DSL configuration automatically.

agent.dsl Waiting for input...
# Your Agent DSL will appear here
# after you describe the intent and
# click "Generate Agent DSL"

agent {
  name: "..."
  model: "..."
  chain: "..."

  intent {
    # describe goals
  }

  triggers {
    # when to act
  }

  actions {
    # what to do
  }
}

Train & Test Your Agent

Your agent will self-train in a sandboxed environment with real-time performance metrics.

Epoch
0 / 100
Accuracy
0.00%
Loss
1.0000
Patterns
0
Waiting to start training...

Simulate Arc Deployment

Preview an Arc Mainnet deployment flow. No live transaction is broadcast until verified contracts and backend infrastructure are configured.

Deployment Configuration
Agent—
Model—
Chain—
Accuracy—
Patterns—
Deployment Progress
Validate Config
Pending
Compile Agent
Pending
Privacy Circuit
Pending
Simulate Broadcast
Pending
Join Mesh
Pending

Monitor & Evolve

Real-time performance tracking as your agent learns and optimizes autonomously.

Agent Simulation Arc Mainnet · No contract deployed
100%
Uptime
0ms
Latency
0
Tasks Done
0
Peers
0 USDC
Gas Spent
$0.00
Profit
Live Activity
Agent Evolution