You will get LangGraph Analytical Reporting Agent
Project details
This project delivers an LLM-based agent system designed for research, document analysis, and structured reporting tasks.
The system is built using a modular agent architecture that allows multi-step reasoning, tool usage, and controlled outputs. It is suitable for internal analytics, research workflows, and prototyping AI-driven decision-support tools.
What you get:
• A working LLM agent workflow tailored to your use case
• Clear and structured codebase
• Documented logic and prompt design
• Reproducible setup and usage instructions
This project is intended for teams and individuals who need practical, explainable AI systems rather than experimental demos.
The system is built using a modular agent architecture that allows multi-step reasoning, tool usage, and controlled outputs. It is suitable for internal analytics, research workflows, and prototyping AI-driven decision-support tools.
What you get:
• A working LLM agent workflow tailored to your use case
• Clear and structured codebase
• Documented logic and prompt design
• Reproducible setup and usage instructions
This project is intended for teams and individuals who need practical, explainable AI systems rather than experimental demos.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Synthetic Data GenerationAI Development Language
PythonAI Tools
GradioAI Models
GPT-4What's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 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.
Additional Revision
+$50
Extended Agent Customization
(+ 5 Days)
+$150Frequently asked questions
About Uliana
AI/LLM Engineer | RAG, AI Agents, LangGraph & Automation
Lviv, Ukraine - 3:26 am local time
My core expertise is in AI agents, RAG systems, LangGraph workflows, and structured analytical pipelines. I can turn unstructured documents, reports, policies, datasets, and web-based information into clear, actionable outputs.
I can help you with:
• RAG applications and document-based chatbots
• AI agents for research and analytical reporting
• LangGraph / CrewAI / multi-agent workflows
• LLM-powered report generation
• Data analysis and machine learning pipelines
• Model evaluation, prompt engineering, and technical documentation
My background combines applied AI, data science, and research. I have built LLM-based reporting agents, research pipelines, policy assistants, financial NLP fine-tuning experiments, and forecasting models. I work with Python, OpenAI API, LangGraph, RAG, Hugging Face, Docker, Gradio, scikit-learn, PyTorch, Pandas, and NumPy.
I focus on reliable, explainable, and well-documented AI systems that can actually be used in practice.
Steps for completing your project
After purchasing the project, send requirements so Uliana can start the project.
Delivery time starts when Uliana receives requirements from you.
Uliana works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1 - Requirements review
Review project requirements, data sources, and expected outputs.
Step 2 - Agent design
Design the LLM agent workflow, tools, and reasoning logic.