You will get an AI agent that automates a repetitive business workflow
Project details
Most "AI automation" breaks the first time reality doesn't match the happy path. I build agents that handle the messy cases: retry what fails, escalate what they can't judge, and log every decision so you can audit them afterwards.
Tell me the workflow you're doing by hand — triaging inbound email, pulling fields out of documents, moving data between systems, generating the same report every week — and I'll build an agent that runs it.
I work in Python and LangGraph, and integrate against whatever you already use: your API, your database, your spreadsheets. In my engineering role I've built GenAI APIs that cut manual data-extraction errors by 90%.
You get source code in your own repo, a working deployment, and a written handover. Start with one workflow, scale to several once you've watched it run.
Tell me the workflow you're doing by hand — triaging inbound email, pulling fields out of documents, moving data between systems, generating the same report every week — and I'll build an agent that runs it.
I work in Python and LangGraph, and integrate against whatever you already use: your API, your database, your spreadsheets. In my engineering role I've built GenAI APIs that cut manual data-extraction errors by 90%.
You get source code in your own repo, a working deployment, and a written handover. Start with one workflow, scale to several once you've watched it run.
AI Development Type
Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$250
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Prerit
AI Application Engineer | RAG Systems | LangChain | Full Stack
Noida, India - 6:59 am local time
In my current engineering role I've built:
→ RAG pipelines using Azure OpenAI GPT-4 that improved data retrieval by 35%
→ GenAI APIs that reduced manual data extraction errors by 90%
→ AI data systems processing 500GB+ monthly with 40% faster query response
→ Real-time AI Q&A systems with sub-second response via WebSocket streaming
What I can build for YOU:
✅ AI Chatbot for your website or app
✅ RAG system — upload docs, ask questions, get AI answers
✅ OpenAI / Claude / Gemini integration into your existing app
✅ Voice AI assistant
✅ AI automation workflows using LangChain/LangGraph
My stack:
LangChain · LangGraph · FastAPI · OpenAI · React · Node.js ·
Python · Vector DBs · AWS · Azure · PostgreSQL · Docker
I've delivered enterprise-level AI systems. Now I bring
the same quality to businesses of all sizes.
Let's talk about what you need to build. 🚀
Steps for completing your project
After purchasing the project, send requirements so Prerit can start the project.
Delivery time starts when Prerit receives requirements from you.
Prerit works on your project following the steps below.
Revisions may occur after the delivery date.
Workflow mapping
I walk your current manual process end to end and write down every decision point, edge case and system it touches.
Agent build
Tool definitions, prompts, control flow and error handling, built in LangGraph so every step stays inspectable.