Deliver GTM Apps faster than your most ruthless competitor!

module use core
module use crm.salesforce
module use chat.assistant
module use voice.dialer
module use video.personalize

# Multi-channel customer engagement
set lead_id="${ctx.lead.id}"
crm.get_lead id="${lead_id}" | core.assert field="status" eq="qualified"

# Generate personalized content
chat.assistant.create {
  model: "gpt-4o",
  context: "${ctx.lead.company}",
  prompt: "draft_followup_email"
} | core.preview

# Schedule voice call
voice.dialer.call {
  to: "${ctx.lead.phone}",
  script: "discovery_call",
  personalization: "${ctx.lead.name}"
}

# Create video message
video.personalize {
  template: "product_demo",
  recipient: "${ctx.lead.name}",
  company: "${ctx.lead.company}"
}

exit 0

module use core
module use vignette.recorder
module use llm.processor

# Capture user actions into vignette
vignette.recorder.start {
  process: "support_escalation",
  user: "${ctx.user.id}",
  session: "${ctx.session.id}"
}

# Record each step with context
vignette.recorder.step {
  action: "triage_ticket",
  input: "${ctx.ticket.description}",
  output: "priority: high, assignee: senior_support"
}

vignette.recorder.step {
  action: "escalate_to_engineering",
  reason: "complex_technical_issue",
  documentation: "${ctx.ticket.attachments}"
}

# Generate WFX playbook from recorded steps
llm.processor.generate_playbook {
  model: "claude-3",
  vignette: "${vignette.recorder.export()}",
  format: "wfx_script"
} | core.approve gate="playbook_generation"

exit 0