our case studies

GuideToRide.com Vibe Coded

I code a robust marketplace with AI

As a passionate mountain biker who loves exploring new trails, I found it challenging, and initially most of my time was spent getting lost. Along the way, I realized having a local show me around makes a huge difference in the fun factor of the ride. So I created guidetoride.com to address a common pain point for riders, with the solution being to connect riders with locals, removing the friction for exploring riders associated with exploring new trails, meanwhile supporting local community riders.

I gave up along the way, the technology wasn’t there yet. Anthropics’ Claude was the game changer; working with AI felt like I was collaborating with a senior-level developer. The most remarkable aspect was that AI didn’t require small talk and was available to work 24/7, which made the development process incredibly enjoyable and efficient. Initially, I encountered some minor mistakes—like variable names being incorrect or functions not quite aligning with my intentions. However, as the technology evolved, so did my AI partner’s capabilities.

Over time, it began making thoughtful recommendations that enhanced the coding process. While Claude was busy scripting, I seized the opportunity to immerse myself in learning about new tech stacks and APIs. This knowledge allowed me to effectively direct my AI partner in the implementation of various features. I found myself not just coding, but educating myself on how to optimize the development process.

In my quest for efficiency, I automated my workflow significantly. Implementing Docker streamlined my application environments, and I adopted a meticulous Git workflow to manage my code versions effectively. Leveraging AWS services like ECR and App Runner enabled me to achieve one-click deployments, significantly cutting down the time to launch updates.

Additionally, I automated payment distribution through Stripe Connect accounts, which simplified the financial transactions related to the project. I also integrated Amazon S3 to serve the front end, ensuring fast and reliable access to static resources. To manage the connection between the backend and frontend efficiently, I utilized CloudFront, which provided low-latency delivery of my content.

This comprehensive automation of my development workflow has allowed me to focus on innovation rather than operational concerns. I no longer have to worry about scaling servers in production; the infrastructure I’ve built is robust and adaptable. The combination of an intelligent AI partner and a well-structured, automated system has transformed my approach to development, ultimately making the process smoother and significantly more productive.

Check out more of our work

Building Your Own Multi-Agent AI Sales Platform with Real-Time Human Support

Have you ever wanted to create a sophisticated AI sales system that combines multiple specialized AI agents while allowing human team members to monitor and step in when needed? In this DIY guide, I’ll walk you through how we built our own system using OpenAI’s Assistants API, WebSockets, PHP, and React.

What You’ll Need

A web server with PHP support (we used WAMP)
MySQL database
OpenAI API key
Basic knowledge of PHP, JavaScript, and React
Familiarity with WebSockets

Step 1: Set Up Your Project Structure

Start by creating your project directory structure:

CopyInsert/your-project-name/
├── admin/
│   ├── index.php
│   └── login.php
├── vendor/
├── config.php
├── index.html
├── style.css
├── websocket_server.php
└── composer.json

Step 2: Configure Your Environment

Install required dependencies using Composer:

{ "require": { "cboden/ratchet": "^0.4.4", "openai/client": "^1.0.0", "phpmailer/phpmailer": "^6.8" } }

Create a config.php file with your database and API credentials:

<?php define(‘DB_HOST’, ‘localhost’); define(‘DB_USER’, ‘your_username’); define(‘DB_PASS’, ‘your_password’); define(‘DB_NAME’, ‘your_database’); define(‘OPENAI_API_KEY’, ‘your_openai_api_key’); // Define your OpenAI assistant IDs define(‘AISALESMANAGER’, ‘your_manager_assistant_id’); define(‘NEWSALESAGENT’, ‘your_new_sales_assistant_id’); define(‘EXISTINGSALESAGENT’, ‘your_existing_sales_assistant_id’); define(‘ESTIMATESAGENT’, ‘your_estimates_assistant_id’); // For email notifications define(‘SMTPUSER’, ‘your_smtp_username’); define(‘SMTPPASS’, ‘your_smtp_password’); ?>

Step 3: Set Up Your Database

Create your MySQL database with the necessary tables:

CREATE DATABASE your_database;
USE your_database;

CREATE TABLE conversation_summaries (
    id INT AUTO_INCREMENT PRIMARY KEY,
    thread_id VARCHAR(255) NOT NULL,
    user_ip VARCHAR(45) NOT NULL,
    summary TEXT,
    current_agent VARCHAR(255),
    status ENUM('active', 'completed') DEFAULT 'active',
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
);

CREATE TABLE messages (
    id INT AUTO_INCREMENT PRIMARY KEY,
    thread_id VARCHAR(255) NOT NULL,
    message_id VARCHAR(255) NOT NULL,
    role ENUM('user', 'assistant', 'system', 'admin') NOT NULL,
    content TEXT NOT NULL,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    INDEX (thread_id)
);

Step 4: Create Your WebSocket Server

The heart of our system is the WebSocket server that handles real-time communication. Here’s how to build it:

Create websocket_server.php:

<?php require 'vendor/autoload.php'; require_once 'config.php'; use Ratchet\Server\IoServer; use Ratchet\Http\HttpServer; use Ratchet\WebSocket\WsServer; use React\Socket\Server as SocketServer; use React\EventLoop\Factory; use Ratchet\ConnectionInterface; use Ratchet\MessageComponentInterface; class ConversationServer implements MessageComponentInterface { protected $clients; protected $clientThreadMap = []; // Map clients to thread IDs protected $userClients = []; // Track user clients private $conn; private $openAIClient; public function __construct() { $this->clients = new \SplObjectStorage; $this->userClients = new \SplObjectStorage; // Initialize database connection $this->conn = new mysqli(DB_HOST, DB_USER, DB_PASS, DB_NAME); // Initialize OpenAI client $this->openAIClient = \OpenAI::client(OPENAI_API_KEY); } // Implement the required methods: onOpen, onMessage, onClose, onError // [Add implementation details here] } // Create and start the server $loop = Factory::create(); $socket = new SocketServer('0.0.0.0:8080', $loop); $server = new IoServer( new HttpServer( new WsServer( new ConversationServer() ) ), $socket, $loop ); echo "WebSocket server running at 0.0.0.0:8080\n"; $loop->run();

Step 5: Build Your User Interface

Create a user-friendly chat interface using React:

In your index.html, set up the basic structure:<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>AI Sales Assistant</title> <script src="https://cdn.tailwindcss.com"></script> <link rel="stylesheet" href="style.css"> </head> <body> <div id="app"></div> <script src="https://unpkg.com/react@17/umd/react.development.js"></script> <script src="https://unpkg.com/react-dom@17/umd/react-dom.development.js"></script> <script src="https://unpkg.com/babel-standalone@6/babel.min.js"></script> <script type="text/babel"> // Your React application code goes here </script> </body> </html>
Create your React chat component with WebSocket connection:
function App() { const [messages, setMessages] = React.useState([]); const [threadId, setThreadId] = React.useState(null); const [inputValue, setInputValue] = React.useState(”); const [isProcessing, setIsProcessing] = React.useState(false); const socket = React.useRef(null); // Initialize WebSocket connection React.useEffect(() => { const wsProtocol = window.location.protocol === ‘https:’ ? ‘wss:’ : ‘ws:’; const wsHost = ‘localhost:8080’; const wsUrl = `${wsProtocol}//${wsHost}`; const newSocket = new WebSocket(wsUrl); // Handle WebSocket events (onopen, onmessage, onclose, onerror) // [Add implementation details here] socket.current = newSocket; return () => { if (newSocket) { newSocket.close(); } }; }, []); // Implement message handling and UI components // [Add implementation details here] return ( // Your chat UI JSX goes here ); } ReactDOM.render(<App />, document.getElementById(‘app’));

Step 6: Create the Admin Interface

Build an admin panel to monitor and manage conversations:

Create admin/index.php:phpCopyInsert<?php session_start(); require_once '../config.php'; // Implement authentication if (!isset($_SESSION['admin_authenticated'])) { // Show login form or authenticate // [Add implementation details] } // Fetch active conversations from database $conn = new mysqli(DB_HOST, DB_USER, DB_PASS, DB_NAME); $query = "SELECT * FROM conversation_summaries ORDER BY created_at DESC"; $result = $conn->query($query); ?> <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Admin Panel</title> <script src="https://cdn.tailwindcss.com"></script> </head> <body>    <script> // JavaScript for WebSocket connection and admin functions // [Add implementation details] </script> </body> </html>

Step 7: Configure Your OpenAI Assistants

You’ll need to create four different assistants in the OpenAI platform:

AI Sales Manager: Configure with instructions to identify user needs and direct to the appropriate specialized agent
New Sales Agent: Specialize in handling new customer inquiries
Existing Sales Agent: Optimize for returning customer interactions
Estimates Agent: Focus on gathering requirements and generating estimates

For each assistant, use the OpenAI web interface to:

Create a new assistant with appropriate name and description
Set up the model (we recommend GPT-4)
Add detailed instructions for the assistant’s role
Enable structured output for agent handoffs

Step 8: Implementing Agent Handoffs

The key to our multi-agent system is the handoff mechanism. In your WebSocket server, implement handling for structured outputs:

private function processAssistantResponse($threadId, $runId) {
    // Retrieve the run and check for structured output
    $run = $this->openAIClient->threads()->runs()->retrieve(
        threadId: $threadId,
        runId: $runId
    );
    
    // Check for structured outputs indicating agent handoffs
    if (property_exists($run, 'structured_outputs') && !empty($run->structured_outputs)) {
        foreach ($run->structured_outputs as $output) {
            if (property_exists($output, 'next_agent')) {
                $nextAgent = $output->next_agent;
                
                // Update the agent in the database
                $this->updateConversationAgent($threadId, $nextAgent);
                
                // Create a new run with the next agent
                $this->openAIClient->threads()->runs()->create(
                    threadId: $threadId,
                    parameters: [
                        'assistant_id' => $nextAgent
                    ]
                );
                
                return true; // Handoff initiated
            }
        }
    }
    
    return false; // No handoff
}

Step 9: Start Your WebSocket Server

Create a simple script to start your WebSocket server:

# start_websocket_server.bat
php websocket_server.php

Step 10: Testing Your System

Start your WebSocket server
Open your main site in one browser window
Open the admin panel in another browser window
Test the entire flow:
- Start a conversation as a user
- Observe the conversation in the admin panel
- Test agent handoffs by triggering different scenarios
- Test human takeover from the admin panel

Troubleshooting Common Issues

WebSocket Connection Failures: Ensure your server allows WebSocket connections and that ports are properly configured
OpenAI API Errors: Verify your API key and check OpenAI’s status page for service issues
Database Connection Problems: Confirm your database credentials and that your tables are properly set up
Agent Handoff Issues: Review your structured output format and ensure your assistants are properly configured

Listen to our Podcast

To learn more about us

We used AI to create a podcast introducing you to our company. Enjoy!

Listen to the podcast (WAV)

The Latest Mobile App we built

Navenu iOS and Android Apps

Leveraging the latest in programming technology with React Native, we successfully developed robust iOS and Android mobile applications for Navenu from a single codebase. This approach resulted in significant savings in both development time and cost.

Nick Nguyen, who heads projects at Internet Technology Services, was appointed as CTO at Navenu, where he spearheaded the comprehensive development of the application.

The powerful Navenu app launched successfully, featuring a curated network of over 500 venues across London and Dubai, alongside 100 curators/influencers. Key features include a personalized AI Concierge, unique “Venue Drops” (likely special offers or content), push notification capabilities, and a sophisticated publishing platform.

Navenu Showcase

Using Web Bots to hunt for B2B marketing leads

How We Obtained Vendor Email Addresses

Let’s use Houzz.com as our target for this example (for educational purposes). Our goal was to obtain email addresses from the businesses listed in their online vendor directory.

The core problem was that the email addresses ARE NOT directly available on the Houzz website.

Below, we’ll walk you through the strategy and implementation we used to overcome this challenge and acquire the necessary data.

The Houzz BOT at work….Console reporting back results

Analysis of Site and Strategy Used

Houzz vendor listings

Targets Indexed

So, we used the Houzz vendor listing pages to index all the vendors, who were our initial targets.

Vendor Detail Page

Email Workaround

We then programmed our bot to visit each vendor’s individual profile page on Houzz and collect any relevant details available there. Unfortunately, as anticipated, no email address was listed directly on these pages. But, they did provide the vendor’s official website URL. This gave us our next target.

Vendors Website

Obtain Payload

Our bot was then directed to the vendor’s own website. We instructed it to scour the various pages of that site (commonly looking at “Contact Us,” “About Us,” or footer information) specifically in search of an email address – our desired “payload.”

Here is the PHP code for the bot’s logic, which you can access in the Bitbucket repository.

The MySQL database insertion code is commented out in the provided script. This is in case you prefer to store the retrieved data in a database rather than a file. In this specific implementation, I opted to place the results directly into a CSV file.

The script writes two CSV files:
1. One file used in Step 1 for indexing the vendor website URLs found on Houzz.
2. In Step 2, this CSV file of target vendor website URLs is then used as the input for the bot to search for email addresses on those external sites.

Feedback and progress updates are outputted in the terminal during the script’s execution using fwrite(STDOUT).

```php
    //You can get these files over at my https://bitbucket.org/nicknguyenzrd/houzzbot/
    require("crawler.php");
    require("CSSQuery.php");


    /* Uncomment below to store data in MYSQL
    $servername = "localhost";
    $username = "root";
    $password = "";
    $dbname = "invoice";

// Create connection
$conn = new mysqli($servername, $username, $password, $dbname);

    // Check connection
    if ($conn->connect_error) {
        die("Connection failed: " . $conn->connect_error);
    }
    */

    //Step 1: Gather Houzz Links
//Open Links File because thats where well dump our data payload
$handle = fopen("links.txt", "r");
    $id=94;
$type=1;
//Data Placeholder Array
$data['href']=array();
$data['company']=array();
$data['type']=array();
$data['id']=array();
$id=1;

//Deal with multiple page results with The All Powerful Iterative Loop
for ($i = 1; $i <= 30; $i++) {
$doc = new DOMDocument();

if($i===1) {
    $p=0; //To grab the first page had a different URL
    $doc->loadHTML( file_get_contents( "http://www.houzz.com/professionals/landscape-architect/orange-county"));
} else {
    //Every Page after the first page "/p/{page number}"
    $doc->loadHTML( file_get_contents( "http://www.houzz.com/professionals/landscape-architect/orange-county/p/" . $p ) );
}

//Webpage loaded for us
$css = new CSSQuery( $doc );
$arr = array();
$arr = $css->query( 'a.pro-title' );

foreach ( $arr as $a ) {
    //Get URL Link Filter out Javascript
    if ( $a->attributes->getNamedItem( 'href' )->value === "javascript:;" ) {
    } else {
        //Store link and company name
        $data['id'][]=$id;
        $data['href'][]    = $a->attributes->getNamedItem( 'href' )->value;
        $data['company'][] = $a->nodeValue;
        $data['type'][]=1;

        //Open our List of Links Page
        $handle = fopen('links.txt',"a+");
        $somecontent = $a->attributes->getNamedItem( 'href' )->value."\r\n"; // Use \r\n for Windows/Linux compatibility
        fwrite($handle,$somecontent);
        fwrite(STDOUT, $somecontent);
        fclose($handle);
        $id++;
    }
}
$p=$p+15;
sleep(1);
unset($doc);
unset($css);
//var_dump( $data );
}


//Step 2: Gather company details (Houzz doesnt list email addresses), so well have to improvise and go to there website to acquire target email contact if its listed on there website.
//Make sure we double check were dealing with valid URLS cause that can really fuck things up once this bitch is fired up!
function get_valid_url( $url ) {
$regex = "((https?|ftp)://)?"; // Scheme
$regex .= "([a-z0-9+!*(),;?&=\$_.-]+(:[a-z0-9+!*(),;?&=\$_.-]+)?@)?"; // User and Pass
$regex .= "([a-z0-9-.]*).([a-z]{2,3})"; // Host or IP
$regex .= "(:[0-9]{2,5})?"; // Port
$regex .= "(/([a-z0-9+\$_-].?)+)*/?"; // Path
$regex .= "(\?[a-z+&\$_.-][a-z0-9;:@&%=+/\\$_.-]*)?"; // GET Query
$regex .= "(#[a-z_.-][a-z0-9+\$_.-]*)?"; // Anchor
return preg_match("/^$regex$/", $url);
}


if ($handle) {
while ( ( $line = fgets( $handle ) ) !== false ) {
    $email="";
    $website="";
    $url="";
    $name="";
    $company="";
    $phone="";
    $link="";
    $tier="";
    $location="";
    $license="";
    $error="";
    $sql="";

    $doc = new DOMDocument();
    // Suppress errors for malformed HTML
    @$doc->loadHTML( file_get_contents( trim($line) ) ); // Trim whitespace from line

    $css               = new CSSQuery( $doc );

    //Houzz Link to profile
    $data['link']=$line;
    $link=trim($line);

    //Company Name
    $nrr               = $css->query( 'a.profile-full-name' );
    if (isset($nrr[0]) && $nrr[0]->textContent) {
        $data['company'][] = $nrr[0]->textContent;
        $company=$nrr[0]->textContent;
        fwrite(STDOUT, "Starting: ".$id.":".$nrr[0]->textContent."\r\n");
    } else {
         $company = "N/A";
         fwrite(STDOUT, "Starting: ".$id.": Company Name Not Found\r\n");
    }


    //Website and Email Addresses TODO add conditional statement
    $arr               = $css->query( 'a.proWebsiteLink' );
    $website_found = false;
    foreach ( $arr as $a ) {
        $url= $a->attributes->getNamedItem( 'href' )->value;

        // Basic URL validation before attempting to crawl
        if (filter_var($url, FILTER_VALIDATE_URL)) { // More robust URL validation
            $data['website'][] = $url;
            $website = $url;
            $website_found = true; // Mark that a website was found
            fwrite(STDOUT, "Attempting site: ".$url."\r\n");

            // Simple email extraction - a real crawler would be more sophisticated
            $site_content = @file_get_contents($url); // Use @ to suppress errors for unreachable sites
            if ($site_content !== FALSE) {
                 // Regex to find email addresses
                if (preg_match('/\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b/', $site_content, $matches)) {
                    $email = $matches[0];
                    // Output indicating email address discovered CLI
                    fwrite(STDOUT, "Found Email Address: ".$email."\r\n");
                } else {
                     fwrite(STDOUT, "No Email Address Found on Site\r\n");
                }
            } else {
                fwrite(STDOUT, "Could not retrieve content from site: ".$url."\r\n");
                $error .= "Could not retrieve content from site; ";
            }

            // Only try the first valid URL found
            break;
        } else {
            fwrite(STDOUT, "Invalid Website URL found: ".$url."\r\n");
             $error .= "Invalid Website URL; ";
        }
    }
     if (!$website_found) {
        $website = "N/A";
         fwrite(STDOUT, "No Website URL found on Houzz profile\r\n");
     }


    //Phone Number
    $phone_found = false;
    $crr = $css->query( 'span.pro-contact-text' );
    foreach ( $crr as $c ) {
        if($c->nodeValue!=="Website") { // Exclude the "Website" text itself
            $phone = trim($c->nodeValue); // Trim whitespace
            $data['phone'][] = $phone;
            $phone_found = true;
            break; // Assume only one phone number listed this way
        }
    }
    if (!$phone_found) {
        $phone = "N/A";
    }


    //All company details (Contact, Location, License, Tier)
    $info = $css->query( 'div.info-list-text' );
    $name = "N/A";
    $location = "N/A";
    $license = "N/A";
    $tier = "N/A";

    foreach ( $info as $i ) {
        $text = trim($i->nodeValue); // Trim whitespace from text content

        //Person to contact
        if (strpos( $text, "Contact:" )!==FALSE) {
            $name = str_replace( "Contact:",'', $text );
            $name = trim($name);
            $data['contact'][] =$name;
        }
        //Address/Location
        if (strpos( $text, "Location:" )!==FALSE) {
            $location = str_replace( "Location:",'', $text );
            $location = trim($location);
            $data['location'][]=$location;
        }
        //License Number
        if (strpos( $text, "License Number:" )!==FALSE) {
            $license=str_replace( "License Number:",'', $text );
            $license=trim($license);
            $data['license'][] =$license;
        }
        //Tier (Typical Job Costs)
        if (strpos( $text, "Typical Job Costs:" )!==FALSE) {
            $tier =str_replace( "Typical Job Costs:",'', $text );
            $tier=trim($tier);
            $data['tier'][]=$tier;
        }
    }


    // Write architect contact information into a CSV file
    $wr= fopen('archs.csv',"a+");
    // Use fputcsv for proper CSV formatting and escaping
    fputcsv($wr, [$id, $type, $company, $phone, $website, $email, $link, $name, $location, $license, $tier]);

    //Disable Comment Below to OutPut to CLI
    //fwrite(STDOUT, $details);
    $id++;
    fclose($wr);
/*  Uncomment below if youd rather insert scrapped data into MySQL Database
        $sql = "INSERT INTO ip_oppurtunities(`type`,`company`,`phone`,`website`,`email`,`link`,`contact`,`location`,`license`,`tier`)
VALUES (1,'$company','$phone','$website','$email','$link','$name','$location','$license','$tier')";

    if ($conn->query($sql) === TRUE) {
        fwrite(STDOUT, $id.'-'.$company." Added \r\n");
    } else {
        $error=mysqli_error($conn);
        fwrite(STDOUT,  "Error: ".$company."=[".$sql."]".$error."\r\n");
        echo $error;
        die(); // Consider logging error and continuing instead of dying
    }
    $id++;
*/
}
fclose($handle); // Close the links file after processing
// $conn->close(); // This should be outside the while loop if using DB insertion
}

We build a TV Channel

Introducing the Makers Network on ROKU

(Note: The video above introduces the concept of the Makers Network channel.)

Through the “Makers Network” project, we bridge the gap between digital expertise and traditional TV broadcasting. We achieve this by creating our very own dedicated TV channel on the ROKU platform, providing access to its massive network of over 40 million subscribers.

This approach offers a powerful alternative to traditional advertising. Instead of simply paying for ad space, appealing content on the Makers Network creates the potential for your brand to not only gain exposure but potentially earn revenue through marketing efforts.

We understand that viewers watching TV in the comfort of their homes are often more receptive to marketing messages. Content can be strategically created to promote your brand and sell products, both directly and indirectly, leveraging this engaged audience.

ROKU provides significant flexibility and various options for integrating advertising within your channel. We specialize in developing a proper, tailored strategy that maximizes your brand’s reach and impact on this platform.

Let us help you bring your brand’s story to the big screen!

Combating Robocalls with Robo-Bouncer

Case Study: Introducing the RoboBouncer – AI-Powered Call Screening

In this case study, we demonstrate how we bring our internet and programming skills to traditional telecommunications through a project we’ve dubbed the RoboBouncer.

The RoboBouncer is an intelligent bot designed to screen your incoming voice phone calls. When a call comes in, the system asks the caller to state their name and records it. It then places the caller on hold while simultaneously making an outbound call to your personal phone number. You are played the recorded name, and the system provides you with a clear option to either accept or reject the call.

With full programmatic control over call handling logic, the possibilities that the internet brings to traditional telephony are virtually endless. Beyond the RoboBouncer, we have experience setting up sophisticated phone systems, including:

Interactive Voice Response (IVR) systems (e.g., company directories).
Advanced lead transfer systems.
High-volume outbound calling solutions.

To personally test out the RoboBouncer service, you are welcome to call our dedicated phone number: (949) 446-1716.

Following popular demand, we have also developed a commercial version that automates the deployment and setup of your own RoboBouncer instance. Click here to create your own RoboBouncer easily.

For those who are technically inclined, we have made the code and detailed information available in our BitBucket repository.

Creating a telephone call screening service using Twilio

This project demonstrates the creation of a call screening service utilizing the Twilio platform.

The Call Flow:

Caller calls your Twilio Number: The system (the “agent”) answers and prompts the caller to speak their name, which is then recorded. The caller is subsequently placed in a queue (representing the “Inbound Call”).
Outbound Call to You: Using the Twilio REST API, the system initiates an outbound call from your Twilio Number to your designated personal phone number.
Playback and Options: When you answer, the recorded name of the caller is played back to you. You are then presented with the following options:
- Press 1 (DTMF) or Say “Accept” (SpeechResult): This action uses Twilio’s Dial verb to connect your phone to the caller who is waiting in the queue.
- Press 2 (DTMF) or Say “Reject” (SpeechResult): Using the REST API, the system notifies the waiting caller (e.g., with a message like “The person you are trying to reach is unavailable”) and then ends the call for both parties (hangs up on the caller in the queue and hangs up on your outbound call).

Technical Details:

Uses the TWIML API and the Twilio Voice API PHP SDK.
Utilizes the Queue resource and the Enqueue TwiML verb to place the caller on hold while the outbound call to you is made. Note: You could also use the Conference verb instead of Enqueue for potentially more options, simply by replacing Enqueue with Conference in the TwiML.
To get started, follow this guide to set up your free Twilio account, get a phone number, and obtain your API SID and Token: https://www.twilio.com/docs/voice/quickstart/php
Remember to configure the webhook for your Twilio phone number to point to your step1.xml file (or select the appropriate TwiMLBin URL if using that).

Deployment Suggestion:

Setting up a dedicated web server isn’t strictly necessary. You can leverage Twilio’s own hosting features:

Use Twilio TwiMLBins to host your XML files (like step1.xml). Let Twilio handle the file hosting for you.
Use Twilio Functions for your server-side logic (converting the PHP logic to Javascript). The IVR Menu example in the Twilio documentation is a good starting blueprint for this.

I would strongly suggest using TwiMLBins for hosting XML files and, if you are capable, utilizing Twilio Functions for the server-side code to simplify your deployment.

Case Study: Native West

Helping Native West Launch and Grow with Comprehensive Tech Solutions

We provided a wide array of technical solutions to help Native West successfully start their business and establish a strong digital presence. Our services included IP Phone Management, a custom Bidding System, and not only designing their website but also optimizing it to rank at the top of search engines.

Website Design

IT Services was responsible for both the design and development of the main Native West website.

SEO

Achieving Additional Site Links in Search Results

The term “Native West” presented a significant challenge for search engine optimization initially, as it was heavily dominated by content related to Native American topics. However, through proper site structure optimization and targeted SEO strategies, we quickly achieved the top spot in search engine results. Furthermore, their listing displayed with valuable additional site links, giving them increased visibility and click-through potential.

Phone System

Managed Phone System

We implemented a fully managed IP Phone System for Native West. This provided them with complete control and flexibility to customize call flow, directing calls efficiently to field agents, specific departments, or voicemail as needed.

Management Platform

Bidding and Contract System

We developed a custom Management Platform that serves as the company’s operational backbone. This system is responsible for coordinating and connecting various departments – including Sales, Construction, Accounting, and Management – throughout the many complex stages of landscape construction projects, from initial bidding to final accounting.

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Is your account info compromised?

Demonstrating Data Security Risks: A Look at Compromised Credentials

We have curated a significant collection of over 1.5 billion hacked credentials (including usernames and associated passwords) sourced from various parts of the internet, including the “Deep Web/Dark Web” (often referred to as the internet underground). This substantial trove of data now totals over 40 Gigs – roughly equivalent to the storage capacity for approximately 13,000 songs on an MP3 player. As you can imagine, processing and managing data on this scale requires techniques far beyond typical web programming.

We hope you find the following functional demonstration both useful and informative. Even we were quite surprised to discover that a couple of our own accounts had been compromised based on this data.

To prevent any potential abuse, we can only show you a portion of the compromised password associated with any queried username/email.

Important Note: We strongly dislike SPAM. Any email addresses provided during this demonstration will not be redistributed or used for any other purpose.