AI APP · CASE STUDY

Type a task. The AI makes the call. You get a summary.

EasyAgent dispatches AI-powered outbound phone calls — user describes a task in plain text, the agent calls, results are summarized.

Most people hate making phone calls. EasyAgent eliminates them entirely — type what needs to happen, and a voice AI handles the conversation, navigates the phone tree, and delivers a plain-English summary of what was accomplished. No scripting, no configuration, no waiting on hold.

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WHAT WE BUILT

Zero scripting. Real calls. Real results.

Natural Language Dispatch
Describe It. Done.

User types the task in plain English — "call this restaurant and make a reservation for 4 at 7pm tonight." That description becomes the agent's operating instructions. No forms, no dropdowns, no call scripts to configure. Type and send.

Retell AI Integration
Voice Agent Pipeline

ZipLyne configured the full Retell AI pipeline: voice agent setup, call routing, and dynamic variable injection so the task description passed by the user becomes the live instructions the agent follows during the call.

Call Summary
Transcript → Plain English

After the call ends, the full transcript is processed and condensed into a plain-English summary delivered to the user. Reservation confirmed. Information collected. Next step surfaced. No listening required.

Call History
Full Log, Every Task

Every call is logged to Supabase — task input, call status, transcript, and summary. Users can review what the agent said, what it confirmed, and what came back. Full audit trail, no surprises.

AI & TECH

How the voice pipeline works.

VOICE AI
RETELL AI

Handles the actual call: voice synthesis, turn-taking, natural language understanding, voicemail detection, and call recording. The agent speaks, listens, and navigates real conversations — not DTMF scripts.

VARIABLE INJECTION
DYNAMIC TASK INSTRUCTIONS

The user's plain-text task description is injected into the agent's system prompt as a dynamic variable at call time. The same agent handles any task — restaurant bookings, appointment scheduling, information requests — with no code change per task type.

SUMMARIZATION
POST-CALL PROCESSING

Retell delivers the call transcript via webhook. A processing function compresses the transcript into a structured summary keyed to the original task — confirmed, not confirmed, follow-up needed — and writes it to the user's call log.

STACK

What it runs on.

Retell AI
Voice agent + calls
React
Frontend UI
Supabase
Call history + users
Webhook pipeline
Call result delivery
Beta · Live to select users
AI VOICE APPS

Need an AI that picks up
the phone for your users?

We've built the voice agent pipeline, task injection, and call summary loop. Let's talk.

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