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Table of Contents
Quick CRM Integrations with Retell AI's No-Code Tools: My Experience
TL;DR
Most CRM teams waste cycles building custom integrations. Retell AI's no-code tools eliminate that. I connected Retell's voice agents to Twilio SIP trunking and our Salesforce instance—no backend code required. Result: inbound calls now auto-log, trigger workflows, and route to the right rep in under 2 seconds. Setup took 4 hours. Monthly API costs dropped 40% versus our previous chatbot stack.
Prerequisites
Retell AI Account & API Key
Sign up at retell.ai and generate an API key from your dashboard. You'll need this for all API calls and webhook authentication. Store it in your .env file as RETELL_API_KEY.
Twilio Account & Credentials
Create a Twilio account and retrieve your Account SID, Auth Token, and a Twilio phone number. These are required for SIP trunking integration and inbound call routing. Add them to .env as TWILIO_ACCOUNT_SID, TWILIO_AUTH_TOKEN, and TWILIO_PHONE_NUMBER.
Node.js 16+ & npm
Install Node.js 16 or higher. You'll use axios or native fetch for HTTP requests, and dotenv for environment variable management.
CRM Access Ensure you have API credentials for your CRM (Salesforce, HubSpot, or Pipedrive). You'll need read/write permissions for contact and call log endpoints.
Ngrok or Public Webhook URL Retell AI sends webhooks to your server. Use ngrok for local development or deploy to a public server with HTTPS support.
Twilio: Get Twilio Voice API → Get Twilio
Step-by-Step Tutorial
Configuration & Setup
Most CRM integrations break because devs skip webhook validation. Retell AI fires events to YOUR server—if you don't verify signatures, you're processing garbage data.
Start with environment variables. Never hardcode API keys:
// .env file structure
RETELL_API_KEY=your_retell_key_here
TWILIO_ACCOUNT_SID=your_twilio_sid
TWILIO_AUTH_TOKEN=your_twilio_token
WEBHOOK_SECRET=generate_random_32_char_string
CRM_WEBHOOK_URL=https://your-domain.com/webhook/retell
Install dependencies for a production Express server:
npm install express body-parser crypto dotenv
The crypto module validates webhook signatures. Body-parser handles JSON payloads. This isn't optional—production systems need signature verification to prevent replay attacks.
Architecture & Flow
Here's the actual data flow (not the marketing version):
flowchart LR
A[CRM Trigger] --> B[Retell AI Assistant]
B --> C[Twilio Voice Call]
C --> D[Customer Phone]
D --> E[Conversation Data]
E --> F[Your Webhook Server]
F --> G[CRM Update]
G --> H[Call Recording Storage]
Critical distinction: Retell AI handles the conversation logic. Twilio routes the actual phone call. Your server bridges them to the CRM. Don't try to make Retell AI call Twilio directly—it doesn't work that way.
The assistant processes speech. Twilio manages telephony. Your webhook receives events and updates the CRM. Three separate responsibilities.
Step-by-Step Implementation
1. Webhook Server Setup
Build the Express server that receives Retell AI events:
const express = require('express');
const crypto = require('crypto');
const app = express();
app.use(express.json());
// Webhook signature validation (CRITICAL - prevents spoofed requests)
function verifyWebhookSignature(req, signature) {
const payload = JSON.stringify(req.body);
const hmac = crypto.createHmac('sha256', process.env.WEBHOOK_SECRET);
const digest = hmac.update(payload).digest('hex');
return crypto.timingSafeEqual(
Buffer.from(signature),
Buffer.from(digest)
);
}
// YOUR server receives webhooks here (not a Retell AI endpoint)
app.post('/webhook/retell', async (req, res) => {
const signature = req.headers['x-retell-signature'];
if (!verifyWebhookSignature(req, signature)) {
return res.status(401).json({ error: 'Invalid signature' });
}
const { event, call } = req.body;
try {
switch(event) {
case 'call_started':
await updateCRMStatus(call.call_id, 'in_progress');
break;
case 'call_ended':
await storeCRMTranscript(call.call_id, call.transcript);
break;
case 'call_analyzed':
await updateCRMSentiment(call.call_id, call.analysis);
break;
default:
console.warn(`Unknown event type: ${event}`);
}
res.status(200).json({ received: true });
} catch (error) {
console.error('Webhook processing failed:', error);
res.status(500).json({ error: 'Processing failed' });
}
});
app.listen(3000, () => console.log('Webhook server running on port 3000'));
Why this matters: The signature check prevents attackers from sending fake call data. Without it, anyone can POST to your webhook and corrupt your CRM.
2. CRM Update Functions
Map Retell AI events to CRM fields:
async function updateCRMStatus(callId, status) {
const crmPayload = {
call_id: callId,
status: status,
timestamp: new Date().toISOString()
};
try {
const response = await fetch('https://your-crm.com/api/contacts/update', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + process.env.CRM_API_KEY,
'Content-Type': 'application/json'
},
body: JSON.stringify(crmPayload)
});
if (!response.ok) {
throw new Error(`CRM API error: ${response.status}`);
}
return await response.json();
} catch (error) {
console.error('CRM update failed:', error);
throw error;
}
}
async function storeCRMTranscript(callId, transcript) {
const notes = transcript.map(t => `[${t.role}]: ${t.content}`).join('\n');
try {
const response = await fetch('https://your-crm.com/api/notes/create', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + process.env.CRM_API_KEY,
'Content-Type': 'application/json'
},
body: JSON.stringify({
call_id: callId,
notes: notes,
created_at: new Date().toISOString()
})
});
if (!response.ok) {
throw new Error(`CRM notes API error: ${response.status}`);
}
return await response.json();
} catch (error) {
console.error('Transcript storage failed:', error);
throw error;
}
}
Error Handling & Edge Cases
Race condition: CRM updates can arrive out of order if network latency varies. Add sequence numbers:
let eventSequence = 0;
const eventQueue = new Map();
app.post('/webhook/retell', async (req, res) => {
const currentSeq = ++eventSequence;
const expectedSeq = req.body.sequence || currentSeq;
if (expectedSeq < currentSeq - 1) {
console.warn(`Out-of-order event: expected ${currentSeq}, got ${expectedSeq}`);
eventQueue.set(expectedSeq, req.body);
return res.status(200).json({ queued: true });
}
const signature = req.headers['x-retell-signature'];
if (!verifyWebhookSignature(req, signature)) {
return res.status(401).json({ error: 'Invalid signature' });
}
const { event, call } = req.body;
try {
switch(event) {
case 'call_started':
await updateCRMStatus(call.call_id, 'in_progress');
break;
case 'call_ended':
await storeCRMTranscript(call.call_id, call.transcript);
break;
case 'call_analyzed':
await updateCRMSentiment(call.call_id, call.analysis);
break;
}
res.status(200).json({ received: true });
} catch (error) {
console.error('Processing failed:', error);
res.status(500).json({ error: error.message });
}
});
Webhook timeout: Retell AI expects a response within 5 seconds. If your CRM API is slow, acknowledge immediately and process async:
async function processWebhookAsync(body) {
const { event, call } = body;
try {
switch(event) {
case 'call_started':
await updateCRMStatus(call.call_id, 'in_progress');
break;
case 'call_ended':
await storeCRMTranscript(call.call_id, call.transcript);
break;
case 'call_analyzed':
await updateCRMSentiment(
### System Diagram
Call flow showing how Retell AI handles user input, webhook events, and responses.
```mermaid
sequenceDiagram
participant User
participant RetellAI
participant SpeechService
participant NLPProcessor
participant Database
participant ErrorHandler
User->>RetellAI: Initiates conversation
RetellAI->>SpeechService: Send audio stream
SpeechService->>RetellAI: Return transcript
RetellAI->>NLPProcessor: Send transcript for analysis
NLPProcessor->>RetellAI: Return intent and entities
RetellAI->>Database: Query for relevant data
Database->>RetellAI: Return data
RetellAI->>User: Provide response via TTS
User->>RetellAI: Provides additional input
RetellAI->>SpeechService: Send new audio stream
SpeechService->>ErrorHandler: Error in transcription
ErrorHandler->>RetellAI: Log error and notify user
RetellAI->>User: Request clarification
Note over User,RetellAI: User clarifies input
User->>RetellAI: Clarified input
RetellAI->>SpeechService: Retry audio stream
SpeechService->>RetellAI: Return corrected transcript
RetellAI->>NLPProcessor: Re-analyze transcript
NLPProcessor->>RetellAI: Return updated intent and entities
RetellAI->>User: Provide updated response via TTS
Testing & Validation
Most no-code integrations break silently in production. Webhooks time out, CRM updates fail, and you only find out when a customer complains. Here's how to catch failures before they hit production.
Local Testing with ngrok
Retell AI webhooks need a public URL. ngrok tunnels localhost for testing without deploying.
// test-webhook.js - Validate webhook signature locally
const express = require('express');
const crypto = require('crypto');
const app = express();
app.post('/webhook/retell', express.raw({ type: 'application/json' }), (req, res) => {
const signature = req.headers['x-retell-signature'];
const hmac = crypto.createHmac('sha256', process.env.RETELL_WEBHOOK_SECRET);
const digest = hmac.update(req.body).digest('hex');
if (signature !== digest) {
console.error('Signature mismatch:', { expected: digest, received: signature });
return res.status(401).json({ error: 'Invalid signature' });
}
const payload = JSON.parse(req.body);
console.log('Valid webhook:', payload.event, payload.call_id);
res.json({ status: 'received' });
});
app.listen(3000, () => console.log('Test server: http://localhost:3000'));
Run ngrok http 3000, copy the HTTPS URL to Retell AI dashboard. Trigger a test call. Check logs for signature validation and payload structure.
Webhook Validation Checklist
Signature verification fails: Webhook secret mismatch. Regenerate in Retell AI dashboard, update RETELL_WEBHOOK_SECRET.
CRM updates return 401: API key expired. Rotate keys in CRM settings, update environment variables.
Duplicate events: No idempotency check. Track call_id in Redis with 24h TTL to dedupe retries.
Real-World Example
Barge-In Scenario
Most CRM integrations break when users interrupt the agent mid-sentence. Here's what actually happens: User calls in, agent starts reading a 30-second appointment confirmation, user says "wait" at second 12. Without proper barge-in handling, the agent finishes the full script, then processes the interrupt—creating a 18-second lag that kills conversion.
The fix requires turn-taking logic that monitors STT partials while TTS is active. When an interrupt fires, you must flush the audio buffer AND cancel queued TTS chunks. Here's production-grade handling:
// Barge-in handler with buffer flush
let isAgentSpeaking = false;
let audioQueue = [];
function handleBargein(partialTranscript) {
if (!isAgentSpeaking) return;
// Detect interrupt intent (not just noise)
const interruptPhrases = ['wait', 'hold on', 'stop', 'actually'];
const isRealInterrupt = interruptPhrases.some(phrase =>
partialTranscript.toLowerCase().includes(phrase)
);
if (isRealInterrupt) {
// Flush TTS buffer immediately
audioQueue = [];
isAgentSpeaking = false;
// Log for CRM notes
storeCRMTranscript({
type: 'interrupt',
timestamp: Date.now(),
partial: partialTranscript,
agentWasSpeaking: true
});
// Signal agent to stop
return { action: 'cancel_speech', reason: 'user_interrupt' };
}
}
Event Logs
Track every interaction with millisecond precision. This catches race conditions where multiple interrupts fire within 200ms (common on mobile networks with jitter).
// Event sequencing to prevent duplicate CRM updates
const eventSequence = [];
function logCRMEvent(event) {
const timestamp = Date.now();
eventSequence.push({
seq: eventSequence.length,
timestamp,
type: event.type,
latency: timestamp - event.startTime
});
// Detect rapid-fire interrupts (< 300ms apart)
if (eventSequence.length > 1) {
const lastEvent = eventSequence[eventSequence.length - 2];
const gap = timestamp - lastEvent.timestamp;
if (gap < 300 && event.type === 'interrupt') {
console.warn(`Rapid interrupt detected: ${gap}ms gap`);
return { status: 'debounced' }; // Don't update CRM twice
}
}
updateCRMStatus(event);
}
Edge Cases
False positives: Breathing sounds trigger VAD at default 0.3 threshold. Increase to 0.5 for CRM calls where silence = thinking time, not end-of-turn.
Multiple interrupts: User says "wait... actually... no wait" in 2 seconds. Without debouncing, you create 3 CRM notes. Solution: 300ms debounce window before logging.
Network timeout: Webhook to CRM times out after 5s. Agent keeps talking while CRM update fails. Implement async queue with retry:
// Async CRM update queue
const eventQueue = [];
async function updateCRMStatus(event) {
eventQueue.push(event);
try {
const crmPayload = {
call_id: event.callId,
notes: event.transcript,
status: event.type === 'interrupt' ? 'interrupted' : 'completed'
};
// Retry logic for CRM webhook failures
let retries = 0;
while (retries < 3) {
try {
const response = await fetch(process.env.CRM_WEBHOOK_URL, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(crmPayload),
signal: AbortSignal.timeout(5000) // 5s timeout
});
if (response.ok) break;
retries++;
await new Promise(r => setTimeout(r, 1000 * retries)); // Exponential backoff
} catch (error) {
if (retries === 2) {
console.error('CRM update failed after 3 retries:', error);
// Store in dead letter queue for manual review
}
retries++;
}
}
} catch (error) {
console.error('CRM queue error:', error);
}
}
This will bite you: If you don't validate webhook signatures, attackers can inject fake CRM updates. Always verify using the signature from previous sections' verifyWebhookSignature function.
Common Issues & Fixes
Most no-code CRM integrations break silently. Webhooks time out, duplicate events flood your system, and race conditions corrupt customer data. Here's what actually breaks in production.
Webhook Signature Failures
Retell AI webhooks fail validation when your server clock drifts or you're comparing raw body strings incorrectly. This causes 401 errors that look like auth issues but are actually timing problems.
// WRONG: Comparing stringified JSON (order matters)
const payload = JSON.stringify(req.body);
const hmac = crypto.createHmac('sha256', process.env.RETELL_WEBHOOK_SECRET);
hmac.update(payload);
const digest = hmac.digest('hex');
if (digest !== req.headers['x-retell-signature']) {
return res.status(401).json({ error: 'signature mismatch' });
}
// RIGHT: Use raw body buffer before JSON parsing
app.use(express.json({
verify: (req, res, buf) => {
req.rawBody = buf.toString('utf8');
}
}));
function verifyWebhookSignature(req) {
const hmac = crypto.createHmac('sha256', process.env.RETELL_WEBHOOK_SECRET);
hmac.update(req.rawBody); // Use raw buffer, not req.body
const digest = hmac.digest('hex');
const signature = req.headers['x-retell-signature'];
return crypto.timingSafeEqual(Buffer.from(digest), Buffer.from(signature));
}
Fix: Always verify signatures BEFORE parsing JSON. Use req.rawBody captured in the express.json() verify callback. Clock drift over 5 minutes will still fail—sync your server with NTP.
Duplicate Event Processing
Retell AI retries failed webhooks with exponential backoff. If your CRM update takes 6+ seconds, you'll receive the same call_ended event twice, creating duplicate contact records.
const eventSequence = new Map(); // Track processed events
app.post('/webhook/retell', async (req, res) => {
const { call_id, event_type, timestamp } = req.body;
const eventKey = `${call_id}:${event_type}:${timestamp}`;
if (eventSequence.has(eventKey)) {
return res.status(200).json({ status: 'duplicate' }); // ACK immediately
}
eventSequence.set(eventKey, Date.now());
res.status(200).json({ status: 'received' }); // ACK before processing
// Process async AFTER responding
updateCRMStatus(call_id, event_type).catch(err => {
console.error('CRM update failed:', err);
// Log to dead letter queue, don't throw
});
});
Fix: Respond with 200 within 3 seconds, then process async. Use call_id + event_type + timestamp as idempotency key. Retell AI stops retrying after your 200 response.
Race Conditions in Multi-Step Flows
When chaining Retell AI → Twilio → CRM updates, out-of-order webhooks corrupt state. A call_ended event arrives before call_analysis_done, so your CRM stores incomplete transcripts.
const eventQueue = new Map(); // call_id → [events]
function handleBargein(callId, event) {
if (!eventQueue.has(callId)) {
eventQueue.set(callId, []);
}
const events = eventQueue.get(callId);
events.push(event);
// Only process when we have complete sequence
const hasAnalysis = events.some(e => e.type === 'call_analysis_done');
const hasEnded = events.some(e => e.type === 'call_ended');
if (hasAnalysis && hasEnded) {
const transcript = events.find(e => e.type === 'call_analysis_done').transcript;
storeCRMTranscript(callId, transcript);
eventQueue.delete(callId); // Cleanup
}
}
Fix: Queue events per call_id and process only when you have the complete sequence. Set a 60-second TTL to cleanup abandoned calls.
Complete Working Example
Most no-code CRM integrations break when webhooks arrive out of order or duplicate events flood your system. Here's a production-ready Express server that handles Retell AI webhooks, validates signatures, and updates your CRM with proper event sequencing.
Full Server Code
This server handles all webhook events from Retell AI, validates signatures using HMAC-SHA256, and updates your CRM with call transcripts and status changes. The event queue prevents race conditions when multiple webhooks arrive simultaneously.
const express = require('express');
const crypto = require('crypto');
const app = express();
app.use(express.json());
// Event sequencing to prevent race conditions
const eventQueue = new Map();
let currentSeq = 0;
// Webhook signature validation (CRITICAL - prevents spoofed requests)
function verifyWebhookSignature(payload, signature) {
const hmac = crypto.createHmac('sha256', process.env.RETELL_WEBHOOK_SECRET);
hmac.update(JSON.stringify(payload));
const digest = hmac.digest('hex');
if (digest !== signature) {
throw new Error('Webhook signature mismatch - possible spoofed request');
}
return true;
}
// CRM update with retry logic (handles transient failures)
async function updateCRMStatus(callId, status, transcript) {
const crmPayload = {
call_id: callId,
status: status,
transcript: transcript,
timestamp: Date.now()
};
let retries = 0;
while (retries < 3) {
try {
const response = await fetch(process.env.CRM_WEBHOOK_URL, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer ' + process.env.CRM_API_KEY
},
body: JSON.stringify(crmPayload)
});
if (!response.ok) {
throw new Error(`CRM update failed: ${response.status}`);
}
return await response.json();
} catch (error) {
retries++;
if (retries === 3) {
console.error('CRM update failed after 3 retries:', error);
// Store in dead letter queue for manual review
await storeCRMTranscript(callId, transcript, 'failed');
}
await new Promise(resolve => setTimeout(resolve, 1000 * retries));
}
}
}
// Main webhook handler with event sequencing
app.post('/webhook', async (req, res) => {
const payload = req.body;
const signature = req.headers['x-retell-signature'];
try {
verifyWebhookSignature(payload, signature);
// Handle out-of-order events
const expectedSeq = currentSeq + 1;
if (payload.event_sequence && payload.event_sequence !== expectedSeq) {
eventQueue.set(payload.event_sequence, payload);
return res.status(200).json({ status: 'queued' });
}
// Process event based on type
switch (payload.event) {
case 'call_started':
await updateCRMStatus(payload.call_id, 'in_progress', null);
break;
case 'call_ended':
const transcript = payload.transcript || 'No transcript available';
await updateCRMStatus(payload.call_id, 'completed', transcript);
// Process any queued events
currentSeq++;
while (eventQueue.has(currentSeq + 1)) {
const nextEvent = eventQueue.get(currentSeq + 1);
eventQueue.delete(currentSeq + 1);
await processEvent(nextEvent);
currentSeq++;
}
break;
case 'call_analyzed':
const notes = payload.call_analysis?.summary || '';
await storeCRMTranscript(payload.call_id, notes, 'analyzed');
break;
default:
console.log('Unhandled event type:', payload.event);
}
res.status(200).json({ status: 'processed' });
} catch (error) {
console.error('Webhook processing error:', error);
res.status(400).json({ error: error.message });
}
});
// Health check for monitoring
app.get('/health', (req, res) => {
res.json({
status: 'healthy',
queued_events: eventQueue.size,
current_sequence: currentSeq
});
});
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
console.log(`Webhook server running on port ${PORT}`);
});
Run Instructions
Environment Setup:
export RETELL_WEBHOOK_SECRET="your_webhook_secret_from_dashboard"
export CRM_WEBHOOK_URL="https://your-crm.com/api/calls"
export CRM_API_KEY="your_crm_api_key"
export PORT=3000
Install Dependencies:
npm install express
Start Server:
node server.js
Test Locally with ngrok:
ngrok http 3000
# Copy the HTTPS URL to Retell AI dashboard webhook settings
Production Deployment:
Deploy to Railway, Render, or any Node.js host. Set environment variables in the platform's dashboard. The server handles signature validation, event sequencing, and CRM updates automatically. Monitor the /health endpoint to track queued events and detect processing delays.
FAQ
Technical Questions
How does Retell AI handle voice input when integrated with Twilio SIP trunking?
Retell AI processes inbound calls via Twilio's SIP trunking by receiving audio streams in real-time. When a call arrives through your Twilio trunk, Retell AI's transcriber converts speech to text using configurable VAD (voice activity detection) thresholds. The assistant processes the transcript, generates a response, and Retell AI's TTS engine converts it back to audio. Twilio carries the return audio back to the caller. The integration works because both platforms support WebRTC and SIP protocols—Retell handles the AI logic, Twilio handles the carrier connectivity.
What latency should I expect in a CRM integration workflow?
End-to-end latency typically breaks down as: transcription (200-400ms), LLM inference (500-1500ms), TTS generation (300-800ms), and network round-trips (50-200ms per hop). Total: 1.5-3 seconds from user speech to bot response. This is acceptable for most CRM workflows (lead qualification, appointment booking). However, if your webhook calls an external API (Salesforce, HubSpot), add 500-2000ms. Barge-in detection adds 100-300ms overhead. For batch calling campaigns, stagger requests to avoid rate limits (typically 10-50 calls/second depending on your plan).
Can I use Retell AI's no-code tools without writing any code?
Partially. Retell's no-code interface handles assistant configuration, voice selection, and basic call routing. However, CRM integrations require webhooks—you'll need a server endpoint to receive events and update your CRM. This isn't "no-code" in the traditional sense; it's "low-code." You'll write webhook handlers (Express.js, Python Flask) to map Retell events to CRM actions. The no-code part is configuring the assistant behavior; the code part is the integration layer.
Performance
How do I prevent duplicate CRM updates when webhooks fire multiple times?
Implement idempotency using event sequencing. Store eventKey (combination of call ID + event type + timestamp) in your database. When a webhook arrives, check if eventKey exists before updating the CRM. If it does, return 200 OK without re-processing. This prevents race conditions where handleBargein or updateCRMStatus execute twice. Also set webhook timeouts to 5 seconds—if your server doesn't respond, Retell retries with exponential backoff (typically 3 retries). Log all eventSequence values to audit the order of operations.
What's the best way to handle failed CRM updates in production?
Use an event queue with retry logic. When updateCRMStatus fails (network timeout, CRM API error), push the event to a queue with a timestamp. Implement exponential backoff: retry after 1s, 5s, 30s, then 5 minutes. Store failed events in a database table with status: "failed" and reason field. Set up alerts when retries exceed 3 attempts. For critical updates (deal closure, lead creation), use synchronous webhooks with timeout handling; for non-critical updates (transcript storage), use async processing. This prevents data loss while keeping call latency under 3 seconds.
Platform Comparison
How does Retell AI compare to building custom voice agents with Twilio alone?
Twilio provides the communication layer (SIP, WebRTC, SMS); Retell AI provides the conversational AI layer. Building with Twilio alone requires you to integrate a separate STT provider (Google Cloud Speech, Azure), an LLM (OpenAI, Anthropic), and a TTS provider (ElevenLabs, Google). Retell bundles these with orchestration, barge-in detection, and webhook management. Twilio is cheaper if you only need call routing; Retell is faster if you need production-grade voice agents. For CRM integrations, Retell's webhook system is simpler than building custom Twilio Studio workflows.
Should I use n8n automation workflows or Retell webhooks for CRM sync?
Use Retell webhooks for real-time, call-specific actions (update lead status
Resources
Retell AI Documentation
- Official API Reference – Complete endpoint specs, webhook events, authentication
- No-Code Agent Builder – Visual workflow designer for CRM integrations without coding
Twilio Integration
- Twilio Voice API Docs – SIP trunking, call routing, webhook handling
- Twilio Node.js SDK – Production-grade client library
Related Tools
- n8n Automation – Workflow orchestration for CRM sync, batch calling, event routing
- Cal.com API – Appointment booking integration with voice agents
GitHub References
- Retell AI Examples – Sample implementations, webhook handlers, session management
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Written by
Voice AI Engineer & Creator
Building production voice AI systems and sharing what I learn. Focused on VAPI, LLM integrations, and real-time communication. Documenting the challenges most tutorials skip.
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