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
LLM Systems Engineer | AI Agents, RAG & Research Automation
Lviv, Ukraine - 8:17 am local time
My core focus is on AI agents, retrieval-augmented generation (RAG), and structured analytical pipelines that turn unstructured data and documents into clear, actionable outputs. I help teams move from ad-hoc LLM experiments to reliable, explainable AI systems that actually work in practice.
What I build:
• LLM agent systems for research, analysis, and reporting
• RAG pipelines for document- and knowledge-based workflows
• Multi-agent orchestration using LangGraph and CrewAI
• Automated research and analytical pipelines
• Custom AI tools for internal teams and decision support
How I work:
• Clear problem framing before implementation
• Modular, well-documented, and reproducible code
• Focus on explainability, evaluation, and reliability
• Practical engineering mindset - no unnecessary complexity
I have a strong research and engineering background, including PhD-level research experience and advanced training in AI and reinforcement learning. My work combines analytical rigor with production-oriented implementation.
If you need an AI system that delivers structured results, not just a demo, I can help design and implement it.
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.