You will get I will build a custom autonomous AI agent to automate any task using Claude
Rising Talent
Rising Talent
Project details
I build custom autonomous AI agents using Claude API and Python that can think, plan and execute complex multi-step tasks without human intervention. My agent framework has 80+ built-in skills including web browsing, form filling, email automation, data extraction, API interactions, file management, and document processing — all running autonomously. Unlike simple chatbots or scripts, these agents reason through problems, handle unexpected situations, and complete entire workflows end to end. I have built and deployed autonomous agents for job automation, outreach pipelines, lead generation, and business process automation. You tell the agent what outcome you want — it figures out how to get there. Starter tier includes a live demo of an agent solving your specific task. Standard builds a full custom agent for one use case. Advanced delivers a complete multi-skill autonomous agent system with documentation and deployment support.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$49
|
Standard
$499
|
Advanced
$1,499
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
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 | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Revision
+$50Frequently asked questions
About Saurabh
Agentic AI Engineer | LangGraph | Claude API | Voice AI
Delhi, India - 9:28 pm local time
I am a co-founder and lead AI engineer at KyrosAura Corp, where I have independently designed, built, and deployed four AI products end to end — architecture, backend, database, deployment, and iteration. No team. No external support. Full ownership.
Here is what I have shipped:
Hermes — a 31-tool autonomous agentic system built on Claude Computer Use API and LangGraph. It navigates the web, fills forms, runs outreach, publishes content, and operates continuously without human intervention. 89 skills. Full LangSmith observability. Cron and webhook triggered. This is not a chatbot — it is a fully autonomous agent running daily in production.
Shreeja — a bilingual Hindi and English voice AI agent built on Vapi and Claude Haiku with sub-800ms end-to-end latency. Handles lead qualification calls, routes to CRM, and operates 24/7. Misclassification rate dropped from 30% to under 8% after one week of production data analysis and schema redesign.
PropConnect — a full-stack AI property matching platform at propconnect.ai. FastAPI backend, PostgreSQL with geospatial filtering, Gemini semantic search, React frontend, GCP Cloud Run deployment. Eight active real estate brokers using it right now.
JobScout — a WhatsApp-based AI job search agent built on Meta Cloud API, Groq LLaMA 3.3 70B, Make, and Firebase Cloud Functions. Users send a job query over WhatsApp and get live results in seconds. Full conversational flow with onboarding, tier gating, and Razorpay payment integration. Going live July 2026.
My core stack: Claude API (Haiku, Sonnet, Computer Use), LangGraph, LangSmith, Python, TypeScript, FastAPI, Nodejs, PostgreSQL, Firebase, GCP Cloud Run, Vapi, Make, n8n, Docker, React, Next.js.
I work 8PM to 2AM IST daily, which maps to standard US business hours overlap. I respond fast, communicate clearly, and deliver without hand-holding.
If you need an AI system that actually runs in production — not someone who will show you a Jupyter notebook — let us talk.
Steps for completing your project
After purchasing the project, send requirements so Saurabh can start the project.
Delivery time starts when Saurabh receives requirements from you.
Saurabh works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the task
Understand the task and define agent objectives
Design agent
Design agent reasoning and decision flow