You will get an automated AI pipeline that turns your raw data into a polished report
Project details
I specialize in turning repetitive data-to-report tasks into fully automated AI pipelines — no more manually pulling numbers and writing summaries every week.
My background is in enterprise AI solutions, where I designed and delivered AI-driven automation for real business operations — not just connecting no-code nodes, but understanding what actually needs automating and why.
What sets this apart: I ask the right scoping questions before building anything, so you get a workflow that fits your actual data and tools — not a generic template. Every project includes clear documentation so your team can maintain and adjust it after handoff.
Built on n8n or Make, integrated with GPT-4/Claude, delivered to your email, Slack, or Notion — running automatically on the schedule you set.
My background is in enterprise AI solutions, where I designed and delivered AI-driven automation for real business operations — not just connecting no-code nodes, but understanding what actually needs automating and why.
What sets this apart: I ask the right scoping questions before building anything, so you get a workflow that fits your actual data and tools — not a generic template. Every project includes clear documentation so your team can maintain and adjust it after handoff.
Built on n8n or Make, integrated with GPT-4/Claude, delivered to your email, Slack, or Notion — running automatically on the schedule you set.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
Anomaly Detection, Natural Language Generation, Natural Language Understanding, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Hugging FaceAI Models
ChatGPT, GPT-4, WhisperWhat's included
| Service Tiers |
Starter
$450
|
Standard
$850
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 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 | - |
Frequently asked questions
About Zuan
AI Workflow Automation | n8n, Make, OpenAI & Claude API Integration
Guangzhou, China - 12:38 am local time
What I build:
- AI document processing — extract, review, and summarize contracts, RFPs, invoices, and reports using GPT-4/Claude
- Automated reporting pipelines — pull data from your APIs and tools, generate polished reports, deliver them to email or Slack on schedule
- End-to-end workflow automation with n8n, Make, and Zapier, connected to OpenAI/Claude APIs
What makes me different: I come from an enterprise AI solutions background, where I spent years translating vague business requirements into precise, working systems. I don't just connect nodes — I ask the right questions first, write a clear scope, and deliver workflows with documentation your team can actually maintain.
How I work:
- Clear written scope before any work starts — no surprises
- Async-friendly: detailed updates, recorded demos, documented handoff
- Fluent written and spoken English
If you know something in your business *should* be automated but aren't sure how, send me a message describing the process — I'll reply with a concrete approach and honest feasibility assessment, free.
Steps for completing your project
After purchasing the project, send requirements so Zuan can start the project.
Delivery time starts when Zuan receives requirements from you.
Zuan works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm scope
I review your requirements and confirm the data source, delivery schedule, and output channel before starting.
Build the pipeline
I build the automation: data pull, AI analysis, and formatted output, using n8n or Make.