Claude AI Developer for Voice & CRM

@toriquldev123

Hello dear! I’m Md Toriqul Islam, an experienced full-stack developer with 10+ years of expertise in AI-powered applications, API integrations, workflow automation, and scalable web solutions. I can dive into your project immediately. I have rich experience in AI integrations, webhook development, CRM automation, and cloud-based workflows. I understand you need a unified Claude-powered system to process voice calls and live chats, extract actionable insights, generate structured JSON summaries, and automatically sync data with your CRM. I’ve worked on similar API-driven automation projects involving AI, chat systems, and third-party platform integrations. I am skilled in Python, Node.js, Anthropic API, Twilio, Webhooks, CRM APIs, n8n, and Make.com. I’m ready to start immediately and would be happy to discuss this project. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@shrec

Hello, I've reviewed your requirements and can build a clean, responsive baby voting website with a secure membership system and intuitive voting functionality. The website will allow users to register, log in, browse contestant profiles, and vote through a simple like/voting system. I can also implement vote limits, duplicate-vote protection, user management, contestant management, and an admin dashboard for tracking votes and managing the competition. I will ensure the system is responsive, lightweight, and easy to maintain, built with WordPress or a custom solution based on your needs. The site will be optimized for mobile devices, performance, and security. I have experience developing membership and voting platforms and can deliver a stable, production-ready solution with clear documentation and ongoing support if needed. I would be happy to discuss your voting rules, membership requirements, and timeline. Looking forward to working with you.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an Automated Workflow with Anthropic’s Claude for Voice & Chat ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for an AI/API developer to build an automated workflow. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for AI and API integrations. I will create a system that processes voice calls and live chat messages, extracting key data and logging structured summaries into your CRM efficiently. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in AI and API development, specializing in voice and chat integrations. My expertise includes working with Twilio, Deepgram, and various CRM APIs. I also have a strong grip on prompt engineering and data extraction techniques, ensuring your workflow is seamless. ➡️ Let's have a quick chat to discuss your project in detail. I would love to share samples of my previous work and show you how I can bring your vision to life. Looking forward to our chat! ➡️ Skills & Experience: ✅ AI Integration ✅ API Development ✅ Voice Recognition ✅ Chatbot Development ✅ Data Extraction ✅ CRM Automation ✅ Python Programming ✅ Node.js Development ✅ Twilio Integration ✅ Deepgram API ✅ Prompt Engineering ✅ Webhook Setup Waiting for your response! Best Regards, Zohaib

@corpmember29

I SPECIALIZE IN BUILDING END-TO-END AI AUTOMATION PIPELINES LIKE CLAUDE-POWERED VOICE & CRM SYSTEMS With 12+ years in AI, API integrations, and workflow automation, we design scalable systems that unify voice, chat, and CRM into one intelligent pipeline. We will build a modular architecture where Twilio/Deepgram → Claude API → structured JSON engine → CRM (HubSpot/Salesforce/etc.), ensuring clean data extraction (intent, sentiment, actions, follow-ups) with deduplication and real-time sync via webhooks. The system will also support chat integration using the same Claude layer for consistent intelligence across channels. We deliver production-ready Node.js/Python code, secure API endpoints, configurable CRM mappings, and clear documentation—built for scalability, automation, and future AI expansion. Thansk Christina

@sunainawbst

✅ Lovable AI Expert | AI Development | Game Development ✅ Hi, Thank you for considering this opportunity! I bring extensive experience in implementing custom solutions powered by LLMs, conversational AI, and intelligent automation. Recently I have been working on Lovable AI for developing a gaming platform using it, complete with chat-based agent logic, expressive front-ends, and backend integrations. See here : In other project, implemented a fully automated AI agent system for intelligent meeting creation using ElevenLabs Conversational AI and Gemini (via a custom agent brain). The flow integrates voice interaction, natural language processing, location precision, and frontend. Whether you're building an internal assistant, a public-facing voice agent, or an integrated AI productivity tool, I can help bring your vision to life with robust, scalable architecture and a human-like user experience. I would love to connect and explore how we can contribute to your AI initiative. Regards Ashraf

@Herculesz

Hi I can build the Claude-powered voice, chat, and CRM automation workflow using Python or Node.js, Anthropic API, Twilio/Deepgram/AssemblyAI, webhooks, and CRM API integrations. The main technical challenge is converting unstructured calls and chats into reliable structured CRM updates without duplicate records, missed follow-ups, or inconsistent JSON output. I would solve this with a normalized ingestion layer, speech-to-text pipeline, Claude structured-output prompts, JSON schema validation, duplicate matching logic, and configurable CRM field mapping. For voice, I can process call transcripts, extract action items, sentiment, dates, commitments, urgency, and lead/ticket context. For chat, I can connect Intercom, Drift, or a custom webhook so Claude can summarize conversations, classify intent, and optionally respond to common customer questions. The CRM layer can push summaries, tasks, due dates, transcript notes, lead stages, and priorities into HubSpot, Salesforce, Pipedrive, Close, or a custom API. I can also add retry handling, logging, authentication configuration, partial-match handling, and clear maintenance documentation. I have experience with AI API workflows, prompt engineering, CRM automation, Twilio-style integrations, webhooks, and structured data extraction from conversations. Thanks, Hercules

@devendrathakur12

Hello, I built many large scale AI automation platforms similar before and I would love if I get the chance to work on your project. I can build this using Claude API, Python, Twilio, Deepgram, webhooks, and CRM APIs with structured JSON extraction, duplicate handling, and reliable automation across voice and chat. I enjoy building systems that reduce manual work and stay maintainable as they grow. One question, should Claude update existing CRM records using conversation history or always create a new interaction and let the CRM handle associations? Can we connect over a chat to discuss more about the project? Best regards, Dev Singh

@pauldinhdev

Hello, I understand you need an end-to-end AI automation system that connects voice calls + live chat into a unified workflow using Anthropic Claude, extracting structured insights (sentiment, actions, urgency, dates) and pushing them into your CRM automatically and reliably. I specialize in Python / Node.js API development, AI workflow design, and CRM integrations, with hands-on experience building Claude-based pipelines, Twilio voice systems, webhook architectures, and structured JSON extraction layers. My focus is always on clean data flow, low-latency processing, and production-ready reliability. Estimated timeline: 5–7 days for MVP workflow + CRM sync layer Questions: 1. Which CRM should be treated as the primary integration target for the first version? 2. Do you want near real-time streaming processing, or is short delay (batch every few seconds) acceptable? I can build this as a stable, scalable AI pipeline designed for real production use, not just a prototype. Best regards, Paul

@vaithiebby

Hi, This project is right in my expertise — I have hands-on experience with Anthropic's Claude API (including the Laravel AI SDK) and have worked with Twilio for voice integrations. Here's my relevant experience: - Claude API (Anthropic): I've built applications using the Claude API for structured data extraction and prompt engineering. I'm familiar with tool use, system prompts, and structured JSON outputs. - Voice STT Integration: I've integrated Twilio for voice workflows, including recording, transcription, and webhook processing in Laravel. - CRM API experience: I've worked with HubSpot, Pipedrive, and custom CRM APIs for lead management and activity logging. - Laravel backend: 10 years of experience — I'll build the backend in Laravel with queue jobs for async voice processing. My proposed approach: 1. Set up Twilio webhook to capture voice calls → send to Deepgram/AssemblyAI for STT transcription 2. Pass transcribed text to Claude API to extract action items, sentiment, key dates → return structured JSON 3. Connect Claude to your live chat widget (Intercom or custom webhook) 4. Push structured output to your CRM via API 5. Deliver: working Laravel/Python codebase, API endpoints/webhooks, CRM config file, 1-2 page docs Which CRM are you using? That will help me finalize the integration approach. Ready to start immediately — 14 days delivery.

@a4logic

Hello, Coming from a prominent software company in Pakistan, my team and I have extensive experience in web development, especially in connecting disparate systems to create automated flows. We understand the power of data and how it can empower businesses. This aligns perfectly with your project's need for an automated workflow using Claude AI to process voice calls and live chat messages while efficiently extracting key data and logging structured summaries into your CRM. We've not only worked with Anthropic's Claude before but have delivered successful projects combining voice call (STT) and chat integration flows. This dual expertise would facilitate in simultaneously transcribing your inbound/outbound sales or support calls using a provider like Twilio, Deepgram or AssemblyAI, passing them onto Claude to identify action items, customer sentiment, key dates/commitments before returning a structured JSON summary. Similar data extraction will be implemented for chats, along with enabling Claude with the agile ability to respond efficiently to customer queries or summarize agent-customer chats. Lastly, our skills extend to CRM automation as well. We are familiar with various CRM systems' APIs including Salesforce, HubSpot, Pipedrive, Close etc., which puts us at an advantage in seamlessly integrating Claude's output from both voice and chat interactions into your specified CRM system. We'll ensure the appropriate fields like Call/ Thanks!

@kamran2012

Good to see this project, I will build the full pipeline — voice transcription via Deepgram, Claude-powered extraction (action items, sentiment, dates), and structured CRM logging via API. Chat integration will follow the same extraction logic through a webhook endpoint. One architecture detail worth planning early: I will design the Claude prompt layer to output a unified JSON schema regardless of whether input arrives from voice or chat. This makes the CRM mapping consistent and simplifies duplicate detection using interaction hashes. Questions: 1) Which CRM are you using — Salesforce, HubSpot, Pipedrive, or something custom? 2) For voice, are you already on Twilio or open to Deepgram for higher transcription accuracy? Send me a message and we can go over the details. Best regards, Kamran

@KavyaTechNepal

Namaste, I can build this end-to-end AI workflow using Claude, integrating voice calls, live chat, and CRM automation into a single structured pipeline. I have experience with AI integrations, API development, workflow automation, webhooks, CRM integrations, and LLM-powered data extraction. My approach would use Python with Claude API, Twilio/Deepgram for call transcription, chat widget integrations, and configurable CRM connectors for Salesforce, HubSpot, Pipedrive, Close, or custom APIs. The system will generate structured JSON outputs including sentiment, action items, follow-up dates, lead status, and urgency, while implementing duplicate detection and partial-match handling. I can also provide webhook endpoints, CRM mapping configuration, documentation, and deployment guidance. I am also comfortable with n8n, Make, and custom automation workflows where appropriate. Best regards, Amit G. Kavya Tech Nepal

@softsolution2000

Hi, The structured JSON summary piece from Claude — action items, sentiment, key dates — is the part I'd want to nail first, since everything downstream (CRM mapping, dedup logic) depends on getting that prompt output consistent. I'd wire this in Node.js: Twilio or Deepgram for STT, Claude API for extraction, then a webhook layer that pushes to your CRM. I've worked with HubSpot and Pipedrive APIs before, so field mapping and avoiding duplicate records is familiar territory. I built a similar Claude API integration recently for a client automating support ticket triage — happy to share the repo structure. Which CRM are you on? That'll shape how we handle the partial match logic.

@ShaikhAneesa

Hi there, I understand you need an AI-powered workflow that combines voice calls, live chat interactions, Claude-powered analysis, and CRM automation into a single system that automatically extracts key business insights and updates customer records. I am confident I can build a structured solution that streamlines communication workflows while maintaining reliable CRM synchronization. My approach will be to create a centralized workflow where voice calls are transcribed using services such as Twilio, Deepgram, or AssemblyAI and then processed through Claude to extract action items, customer sentiment, commitments, intent, urgency, and follow-up requirements. For chat interactions, I will integrate Claude with your chosen live chat platform to either assist with responses or analyze completed conversations using the same structured extraction process. Using Python or Node.js and CRM API integrations, I will automate the transfer of summaries, tasks, lead stages, priorities, and due dates into your CRM while implementing duplicate detection and matching logic to maintain data integrity. The workflow will be designed with configurable mappings, webhooks, and modular components to simplify future enhancements. Which CRM platform will be the primary destination for the workflow (Salesforce, HubSpot, Pipedrive, Close, or another system), and do you already have a preferred speech-to-text provider? I’m ready to start immediately. Warm Regards, Aneesa.

@ykarora26

With experience in AI integration and CRM automation, I understand the need to streamline voice and chat data processing for efficient CRM updates. My past projects involved utilizing Twilio and custom webhooks for seamless data extraction. Could you share the CRM platform you're using to ensure smooth integration of Claude's output? Regards, Yogesh Kumar

@C0RETECHIES

Hi there, I understand you're building a conversational intelligence pipeline. The system will transcribe voice calls and ingest chat messages, then use Claude to extract structured data like action items, sentiment, and dates into a JSON format. This structured data is then automatically synced to your CRM, creating or updating records without manual entry. Technical approach: We'd use a Node.js service (or Python/Flask) deployed as a serverless function to handle webhooks from your STT/chat provider. A core module will manage the prompt engineering for Claude to ensure reliable JSON output. This data is then mapped and pushed to your CRM's API. We have direct experience with Salesforce and HubSpot APIs. Core modules: - Webhook Ingestion Layer - Claude Analysis & Structuring Service - Configurable CRM Sync Engine Relevant systems: We built an AI Sales Call Automation system that uses AI voice, analyzes transcripts, and updates a CRM. We've also developed a Slack assistant using Whisper and Claude to convert conversations into structured plans. We would tackle the voice-to-CRM flow first as an MVP, then integrate the chat functionality. This ensures the core data processing and sync logic is solid before expanding. Regards, Rohit

@quan9824

With over a decade of expertise as a Full-Stack Developer, I am confident in my ability to complete the tasks outlined in your project description. My experience with AI, Python, Node.js, and CRM APIs, including Salesforce and HubSpot positions me well to deliver and exceed on your requirements. In past projects, I've successfully integrated both voice and chat into unified workflows similar to what you are seeking. These projects have included transcribing voice calls with Twilio and using sentiment analysis tools like the Claude API for text analysis. My comprehension of automating CRMs will improve efficiency by flawlessly pushing Claude's structured outputs into your CRM. Moreover, my proficiency in AI covers areas directly relevant to your project, such as natural language processing (speech-to-text, intent extraction), chatbot development, and data classification. This broad skill set adds value by allowing me to enrich the user experience with quick and accurate responses to customer queries. Allow me the chance to put my skills into practice. Not only am I confident that I can complete this project within your timeline and budget, but I'm also committed to long-term maintenance after delivery. Looking forward to further discussing how I can bring value to this project with my unique blend of AI expertise and CRM proficiency!

@DeyaaAhmed

Hi, I can build your automated AI workflow using Python and n8n to integrate Anthropic’s Claude API with your voice and chat systems. I will implement speech-to-text processing via Deepgram or AssemblyAI for calls and webhook listeners for live chat, passing all transcripts to Claude for structured data extraction (action items, sentiment, key dates). The system will then push clean, deduplicated JSON summaries directly into your CRM (HubSpot/Salesforce/Pipedrive), ensuring accurate lead tracking and follow-up task creation. You will receive the complete Python codebase, n8n workflows, CRM configuration guide, and documentation. I have extensive experience building AI-driven automation pipelines and integrating LLMs with CRMs, ensuring reliable data sync and intelligent customer insights. I also offer FREE post-delivery support to monitor initial transcription accuracy, troubleshoot any CRM mapping issues, and assist with minor prompt adjustments during the first month. Let's discuss the project in more details.

@fullstack0407

I have read your job post and I would love to help build your AI-powered voice and chat automation workflow. I am a Full Stack Developer with experience in AI integrations, Anthropic Claude, OpenAI, Twilio, webhooks, CRM integrations, Python, Node.js, and business process automation. I have worked on projects involving call transcription, chat automation, structured AI outputs, and CRM synchronization. My approach is to create a unified workflow where voice calls and chat conversations are processed through Claude, transformed into structured JSON data, and automatically pushed into your CRM with proper validation and duplicate prevention. The solution will include speech-to-text integration using Twilio, Deepgram, or AssemblyAI, Claude-powered analysis for sentiment, action items, urgency, and follow-up tasks, live chat integration, CRM automation, webhook endpoints, configurable field mapping, and detailed documentation. I can deliver a scalable and maintainable system that streamlines customer interactions while ensuring accurate CRM updates and actionable business insights.

@trm66614

I will build a robust AI workflow to power voice and chat logging into your CRM, with Claude at the center. The system will STT transcribe calls (Twilio/Deepgram/AssemblyAI), extract action items and sentiment, and return a structured JSON for CRM entry. Using Python and Node.js, I will deliver a clean codebase with endpoints, a CRM field mapping file, and thorough comments. The design emphasizes deduping, partial-match handling, and clear testing docs for quick maintenance. I bring hands-on experience in AI Development with practical Python and Node.js implementations for end-to-end AI workflows. This plan is built to be easily extended to other CRMs and notification workflows. A lightweight, reliable integration with prompt engineering and robust error handling ensures scalable operations. How would you like Claude to prioritize action items when sentiment is mixed or unclear, and which CRM fields should trigger automatic follow-ups?