You will get a custom AI agent with OpenAI, RAG, and automation
Project details
You will get a custom AI agent built with OpenAI / ChatGPT API, RAG, and workflow automation to help your business reduce manual work and make faster decisions.
I can build an AI assistant that searches your documents or knowledge base, answers customer or internal team questions, processes PDFs or structured data, qualifies leads, updates a CRM, calls external APIs, generates reports, or guides users inside your SaaS product.
This project is focused on building a real business tool, not just a chatbot demo. I will help clarify your workflow, define what the AI agent should know, what actions it should take, and how it should connect to your existing systems.
Depending on the package, the delivery may include AI model integration, prompt logic, RAG / vector search, backend logic, database integration, API connections, a chat interface, testing, deployment support, and setup documentation.
My goal is to deliver an AI agent that is practical, reliable, and easy to use in a real workflow — for customer support, sales, operations, internal knowledge search, document processing, or SaaS automation.
I can build an AI assistant that searches your documents or knowledge base, answers customer or internal team questions, processes PDFs or structured data, qualifies leads, updates a CRM, calls external APIs, generates reports, or guides users inside your SaaS product.
This project is focused on building a real business tool, not just a chatbot demo. I will help clarify your workflow, define what the AI agent should know, what actions it should take, and how it should connect to your existing systems.
Depending on the package, the delivery may include AI model integration, prompt logic, RAG / vector search, backend logic, database integration, API connections, a chat interface, testing, deployment support, and setup documentation.
My goal is to deliver an AI agent that is practical, reliable, and easy to use in a real workflow — for customer support, sales, operations, internal knowledge search, document processing, or SaaS automation.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Text RecognitionAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$350
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 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 |
About Dmytro
AI Agent Developer | OpenAI, RAG Chatbots, Automation
Odesa, Ukraine - 10:43 am local time
If you need an AI assistant that can read your documents, search your knowledge base, call APIs, update your CRM, generate reports, support customers, analyze data, or guide users inside your product, I can turn that workflow into a clean full-stack AI product with a chat interface, backend logic, database, and integrations.
What I can build:
• AI agents for customer support, sales, operations, internal teams, and SaaS products
• RAG chatbots connected to PDFs, websites, databases, internal docs, or knowledge bases
• OpenAI / ChatGPT API integrations with structured outputs, tools, and business logic
• AI workflow automation for lead research, CRM updates, email, reporting, and admin tasks
• Document processing AI assistants for legal, finance, HR, support, and internal operations
• Full-stack AI SaaS features with dashboards, user roles, APIs, databases, and admin panels
My core stack includes OpenAI API, ChatGPT API, RAG, vector search, prompt engineering, REST/GraphQL APIs, React, Next.js, TypeScript, Node.js, NestJS, PostgreSQL, MongoDB, and API integrations.
My focus is not just building a chatbot demo. I build AI assistants that understand your business data, take useful actions through your tools, and are simple for real users to work with.
A good first step is to map your workflow, define what the AI agent should know, what actions it should be allowed to take, and then build an MVP that can be tested with real users before scaling.
Steps for completing your project
After purchasing the project, send requirements so Dmytro can start the project.
Delivery time starts when Dmytro receives requirements from you.
Dmytro works on your project following the steps below.
Revisions may occur after the delivery date.
Workflow discovery
I will clarify your business goal, users, workflow, data sources, integrations, and what the AI agent should know or do.
Technical scope setup
I will define the MVP scope, architecture, AI model flow, RAG approach, API connections, database needs, and delivery plan.