This content originally appeared on DEV Community and was authored by Ayoola Solomon
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"
}
}
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
This content originally appeared on DEV Community and was authored by Ayoola Solomon
Ayoola Solomon | Sciencx (2025-11-10T21:51:59+00:00) Inside the Manifest: How We Make Voice-AI Playbooks Deployable. Retrieved from https://www.scien.cx/2025/11/10/inside-the-manifest-how-we-make-voice-ai-playbooks-deployable/
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