You will get a working AI workflow or internal tool prototype
Project details
I will build a working AI workflow or internal tool prototype based on your business process.
This service is designed for teams that want to reduce repetitive manual work, turn unstructured information into structured outputs, or validate an AI-powered workflow before investing in a larger product.
Depending on the package, the prototype can include LLM integration, structured data extraction, business rules, validation, a simple web interface, and API or data-source connections.
I focus on practical workflows rather than model training. The AI handles language understanding or generation, while important business rules and data can be validated with deterministic application logic when appropriate.
Typical use cases include inquiry processing, document or message analysis, internal assistants, workflow automation, structured data extraction, and AI-powered internal tools.
You will receive working source code and setup instructions. More complex SaaS products, large RAG systems, or production-scale agent platforms may require a custom scope.
This service is designed for teams that want to reduce repetitive manual work, turn unstructured information into structured outputs, or validate an AI-powered workflow before investing in a larger product.
Depending on the package, the prototype can include LLM integration, structured data extraction, business rules, validation, a simple web interface, and API or data-source connections.
I focus on practical workflows rather than model training. The AI handles language understanding or generation, while important business rules and data can be validated with deterministic application logic when appropriate.
Typical use cases include inquiry processing, document or message analysis, internal assistants, workflow automation, structured data extraction, and AI-powered internal tools.
You will receive working source code and setup instructions. More complex SaaS products, large RAG systems, or production-scale agent platforms may require a custom scope.
AI Algorithms
Large Language ModelAI Applications
Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Models
ChatGPTWhat's included
| Service Tiers |
Starter
$249
|
Standard
$449
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 1 | 2 |
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 |
Frequently asked questions
About Eric
AI Integration & Internal Tools Developer | Next.js & TypeScript
Cangzhou, China - 5:26 pm local time
I work with Next.js, TypeScript, Python, LLM APIs, and third-party APIs — from understanding the workflow and designing the data flow to shipping a working first version.
Recently, I built a B2B AI Inquiry Copilot that converts unstructured customer messages into structured requirements, identifies missing or uncertain information, matches candidate products, and generates quotation and customer reply drafts.
I focus on reliable AI integration: LLMs handle language understanding, while business-critical data and rules can be validated with deterministic application logic instead of blindly trusting model output.
My experience also includes Python automation, REST API integration, WebSocket-based real-time data processing, monitoring and alerting tools, API adapters, and cloud-deployed services.
I can help with:
• AI / LLM API integration
• AI-powered web applications and internal tools
• Next.js / TypeScript development
• Python automation and scripting
• REST API and third-party API integration
• Structured data extraction and validation
• WebSocket and real-time data workflows
• Rapid AI MVPs and prototypes
If you have a clear workflow, sample inputs, or an existing application that needs an AI feature, I can help turn it into a working implementation quickly.
Steps for completing your project
After purchasing the project, send requirements so Eric can start the project.
Delivery time starts when Eric receives requirements from you.
Eric works on your project following the steps below.
Revisions may occur after the delivery date.
Review workflow and define prototype scope
I review your current process, users, sample inputs and outputs, success criteria, and any required API or data connections.
Build and test the AI workflow
I implement the agreed workflow, AI integration, business rules, interface, validation, and applicable data connections, then test the main use cases.