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Cover image for Inside the Manifest: How We Make Voice-AI Playbooks Deployable
Ayoola Solomon
Ayoola Solomon

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Inside the Manifest: How We Make Voice-AI Playbooks Deployable

#ai #architecture #automation #startup

Most businesses don’t want another AI “demo.”
They want deployable outcomes — like qualifying a lead, booking a meeting, or handling an after-hours call automatically.

At EchoStack, we wanted to make these outcomes as easy to launch as deploying code — and that’s how the manifest was born.

The Problem

Voice-AI tools today can hold great conversations, but they often stop there.
To actually move data into CRMs, book meetings, or send follow-ups, you need engineers stitching APIs together.

That doesn’t scale for non-technical teams.

Our Solution — The Manifest

Each playbook in EchoStack (e.g., Lead Qualifier, After-Hours Support) is powered by a manifest — a single file that describes:

  • what the playbook does
  • which tools it connects to
  • and what should happen when key events occur.

It’s like Terraform, but for voice-driven business outcomes.

Example Manifest (Simplified)

Here’s a simplified version of what a playbook looks like under the hood:

{
  "id": "lead-qualifier",
  "title": "Voice Lead Qualifier",
  "description": "Qualifies inbound leads via voice and syncs results to CRM.",
  "connectors": ["twilio", "hubspot", "calendly"],
  "events": {
    "call.started": "start_conversation",
    "lead.qualified": "create_contact",
    "meeting.booked": "schedule_event"
  }
}
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This isn’t code — it’s a declarative contract between the voice experience and the business stack.
Our platform reads this file, provisions the right connectors, and handles orchestration automatically.

Why It Matters

  • No-code deployment: Business teams can launch playbooks instantly.
  • Version control: Every manifest can be tracked, forked, and redeployed.
  • Extensibility: Developers can author new playbooks using familiar patterns (JSON, events, connectors).

It turns AI workflows into deployable building blocks — reusable, composable, and measurable.

What’s Next

We’re expanding the manifest system to support richer event schemas and multi-step orchestration.
Soon, teams will be able to chain multiple playbooks together — stacking outcomes like Lego blocks.

Closing Thought

If you’ve ever written Terraform for infrastructure or YAML for CI/CD, imagine doing that —
but for voice automation.
That’s what EchoStack’s manifests make possible.

Curious to see a manifest in action?
We’re opening early access for developers building voice-AI workflows — you can join at getechostack.com

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