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You will get a custom, repeatable business workflow automated using Python, APIs, and AI
Project details
You will get a custom, repeatable business workflow automated using Python, APIs, browser automation, and AI-assisted reporting.
This project is designed for clearly defined manual processes such as data collection, API pulls, website research, CSV cleaning, report generation, lead research workflows, or internal business summaries.
Depending on the package, I can deliver source code, setup files, structured outputs, README instructions, AI-assisted summaries, and handover notes. Higher tiers can include browser automation, multiple input sources, Docker/cloud-ready setup, and more detailed documentation.
My focus is practical automation, not vague AI demos. The final workflow is built to be reviewable, reusable, and understandable after delivery.
This project is designed for clearly defined manual processes such as data collection, API pulls, website research, CSV cleaning, report generation, lead research workflows, or internal business summaries.
Depending on the package, I can deliver source code, setup files, structured outputs, README instructions, AI-assisted summaries, and handover notes. Higher tiers can include browser automation, multiple input sources, Docker/cloud-ready setup, and more detailed documentation.
My focus is practical automation, not vague AI demos. The final workflow is built to be reviewable, reusable, and understandable after delivery.
AI Algorithms
Autoencoder, Large Language Model, Multimodal Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Synthetic Data Generation, Text Recognition, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$200
|
Standard
$550
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$75 - $300
Additional Revision
+$50
Extra data/API source
(+ 1 Day)
+$125
Cloud deployment setup
(+ 3 Days)
+$350Frequently asked questions
About Stefan
n8n & API Automation Specialist | CRM, Webhooks, Lead Routing
Melbourne, Australia - 2:50 pm local time
Most of my work is with n8n, Make, Zapier, APIs and webhooks. I also take on tightly scoped website finishing and QA work, including forms, responsive fixes, deployment issues and functional testing.
I pay close attention to duplicate records, failed events and the edge cases that can make an automation unreliable.
For a first project, I like to keep the scope clear. We can start with one workflow, one integration or one broken process. I will map what should happen, build or repair it, test the normal and failure paths, and provide clear handover notes.
My recent work includes a paid construction website with structured quote intake. I have also built and import tested an inactive n8n service lead workflow using test data, along with working examples for webhook mapping, data cleanup and human review routing.
If you have a workflow that is broken, manual or unreliable, send me a quick explanation of what it should do and where it is getting stuck. I will tell you what I would tackle first.
I am also available for ongoing weekly support with maintaining, testing and documenting automations.
Steps for completing your project
After purchasing the project, send requirements so Stefan can start the project.
Delivery time starts when Stefan receives requirements from you.
Stefan works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements and confirm scope
I review your workflow, inputs, outputs, access needs, and success criteria before starting the build.
Build the automation workflow
I create the Python/API/browser automation logic and structure the workflow around your required inputs and outputs.