Multi-step outreach your agent runs end-to-end

import { MyAgentMail } from "myagentmail";
const mam = new MyAgentMail({ apiKey: process.env.MAM_KEY! });

// 1. Create the cadence shell
const cadence = await mam.cadences.create({
  name: "Founder outreach — Series A AI",
  inboxId: "ibx_...",        // which inbox sends email steps
  sessionId: "lks_...",      // which LinkedIn session runs LI steps
});

// 2. Define the sequence — your app drafts each step at fire-time
//    via cadence.step.draft.requested webhook. MAM never writes copy.
await mam.cadences.replaceSteps(cadence.id, [
  { kind: "linkedin_connect", drafting: "webhook",
    promptHint: "Warm, 1-sentence note referencing their recent post." },
  { kind: "wait", waitHours: 48 },
  { kind: "linkedin_message", condition: "after_accept", drafting: "webhook",
    promptHint: "Ask if they're open to a 15-min chat about {{topic}}." },
  { kind: "wait", waitHours: 120 },
  { kind: "email", condition: "never_replied", drafting: "webhook",
    promptHint: "Short fallback. Reference the LI connect. Offer value, not a meeting." },
]);

// 3. Enroll a lead
await mam.cadences.enroll(cadence.id, {
  email: "[email protected]",
  linkedinUrn: "urn:li:person:abc123",
  metadata: { topic: "agent-driven outreach", firstName: "Alice" },
});

// 4. Listen for events (webhook or polling)
// cadence.enrollment.replied → your agent jumps in, takes over the thread
// cadence.enrollment.accepted → connection landed, DM step queued
// cadence.enrollment.completed → ran all steps without a reply