You will get AI Agents, AI voice agent, AI Calling agent using Vapi, Twilio and n8n
Project details
Are you looking for a smart AI Voice Agent or AI Calling Agent to handle calls, book appointments, or answer FAQs 24/7? You’re in the right place!
I will build professional AI Agents using Vapi, Twilio, and n8n that can automate your customer interactions and connect with your CRM or database.
𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓
✔ Custom AI Voice Agents (inbound/outbound)
✔ AI Calling Agents with natural voice
✔ Twilio & Vapi integration
✔ n8n workflow automation
✔ CRM, Google Sheets, or e mail integration
✔ Multi-language and script training
𝑰𝒅𝒆𝒂 𝑭𝒐𝒓:
◾ HealthCare Clinic Agents
◾ Real Estate Agents
◾ Restaurant Booking bots
◾ E-commerce Stores
◾ Consultants & Coaches
◾ Agencies & SaaS Startups
◾ Educational Institutes & Online Tutors
𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆?
Expertise in AI Agents, AI Voice Agents & AI Calling Agents
Hands-on experience with Vapi, Twilio & n8n automations
Fast delivery with clear communication
𝑳𝒆𝒕’𝒔 𝒃𝒖𝒊𝒍𝒅 𝒚𝒐𝒖𝒓 𝒐𝒘𝒏 𝑨𝑰 𝑽𝒐𝒊𝒄𝒆 & 𝑪𝒂𝒍𝒍𝒊𝒏𝒈 𝑨𝒈𝒆𝒏𝒕 𝒔𝒐 𝒚𝒐𝒖 𝒄𝒂𝒏 𝒔𝒂𝒗𝒆 𝒕𝒊𝒎𝒆, 𝒈𝒓𝒐𝒘 𝒇𝒂𝒔𝒕𝒆𝒓, 𝒂𝒏𝒅 𝒈𝒊𝒗𝒆 𝒃𝒆𝒕𝒕𝒆𝒓 𝒔𝒆𝒓𝒗𝒊𝒄𝒆 𝒕𝒐 𝒚𝒐𝒖𝒓 𝒄𝒖𝒔𝒕𝒐𝒎𝒆𝒓𝒔.
I will build professional AI Agents using Vapi, Twilio, and n8n that can automate your customer interactions and connect with your CRM or database.
𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓
✔ Custom AI Voice Agents (inbound/outbound)
✔ AI Calling Agents with natural voice
✔ Twilio & Vapi integration
✔ n8n workflow automation
✔ CRM, Google Sheets, or e mail integration
✔ Multi-language and script training
𝑰𝒅𝒆𝒂 𝑭𝒐𝒓:
◾ HealthCare Clinic Agents
◾ Real Estate Agents
◾ Restaurant Booking bots
◾ E-commerce Stores
◾ Consultants & Coaches
◾ Agencies & SaaS Startups
◾ Educational Institutes & Online Tutors
𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆?
Expertise in AI Agents, AI Voice Agents & AI Calling Agents
Hands-on experience with Vapi, Twilio & n8n automations
Fast delivery with clear communication
𝑳𝒆𝒕’𝒔 𝒃𝒖𝒊𝒍𝒅 𝒚𝒐𝒖𝒓 𝒐𝒘𝒏 𝑨𝑰 𝑽𝒐𝒊𝒄𝒆 & 𝑪𝒂𝒍𝒍𝒊𝒏𝒈 𝑨𝒈𝒆𝒏𝒕 𝒔𝒐 𝒚𝒐𝒖 𝒄𝒂𝒏 𝒔𝒂𝒗𝒆 𝒕𝒊𝒎𝒆, 𝒈𝒓𝒐𝒘 𝒇𝒂𝒔𝒕𝒆𝒓, 𝒂𝒏𝒅 𝒈𝒊𝒗𝒆 𝒃𝒆𝒕𝒕𝒆𝒓 𝒔𝒆𝒓𝒗𝒊𝒄𝒆 𝒕𝒐 𝒚𝒐𝒖𝒓 𝒄𝒖𝒔𝒕𝒐𝒎𝒆𝒓𝒔.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Video, Conversational AI, Facial Recognition, Image Processing, Image Recognition, Object DetectionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, Replit, Streamlit, TensorFlowAI Models
ChatGPT, DALL-E, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$145
|
Standard
$245
|
Advanced
$345
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 3 | 5 | 5 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code |
Frequently asked questions
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AJ
Abdul J.
Jun 24, 2026
AI Workflow Bug Fix & Prompt Optimization
Anees delivered excellent work, solved issues quickly, and communicated professionally throughout.
MM
Michel M.
Oct 2, 2025
Mobile App Development
MP
Muhammad Junaid P.
May 27, 2024
AI Developer
About Anees
AI Automation Engineer | Agentic Workflows, RAG & CRM Integration
100%
Job Success
Islamabad, Pakistan - 9:43 am local time
I'm a Python backend engineer who got deep into AI systems right when agentic automation started getting real. Not chatbots. Not wrappers. Actual multi-agent pipelines that ingest documents, make decisions, trigger actions, and hand off to humans at the right moment - the kind of architecture that Gartner's been calling their #1 enterprise priority, and that companies are now scrambling to build properly.
A few things I've shipped recently:
Built an AI case analysis system for PAHO that processed 5–6 GB per case - documents, video, audio, WhatsApp threads - and auto-generated six standardized investigation reports. Plugged into SharePoint and Azure SSO. Cut case review from days to hours.
Automated a real estate platform end-to-end: property intake via WhatsApp, AI agents handling classification and listing, HubSpot CRM sync for lead tracking, bulk upload support. The client went from manual copy-paste workflows to zero-touch publishing.
Built an async Python backend for medical scribing - real-time AI documentation during appointments, automated scheduling, zero downtime. Clinics stopped paying for transcription services.
One thing I've learned doing this work: the right tool isn't always custom code. Some workflows live entirely in n8n or Make,com - and that's fine. I use both regularly for event-driven automation, webhook routing, and stitching together SaaS tools that don't have APIs worth writing against. When a client has Salesforce, HubSpot, or a custom CRM at the center of their ops, I build the AI layer to talk directly to it - enriching records, triggering workflows, syncing data - rather than asking them to change how their team already works.
On the backend side: Python with FastAPI and async patterns. For AI orchestration, LangGraph and CrewAI for multi-agent flows, LangChain for RAG pipelines, LangSmith when I need to see what's actually happening inside them. PostgreSQL and MongoDB for structured and document storage, Neo4j when the data is relational in ways a table can't capture. Redis and Celery for background work that needs to be reliable, not just fast.
I take security seriously - not as a feature you add later. PII handling, RBAC, OAuth2, audit trails. If you're in a regulated space (healthcare, legal, finance), I've worked in those constraints and know what "production-ready" actually means there.
Right now the work I find most interesting is in orchestration - taking complex business workflows and modeling them as agent systems that can plan, act, and recover from failure without someone babysitting them. The companies pulling ahead in 2026 aren't the ones with the most AI tools, they're the ones who've turned those tools into governed, connected systems that actually run.
If you're building something like that and need someone who can design the architecture and write the code, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Anees can start the project.
Delivery time starts when Anees receives requirements from you.
Anees works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Understand your goals, use cases, and setup needs (Twilio, Vapi, n8n).
Architecture & Planning
Design the workflow, AI agent structure, and voice call flow.