You will get a custom AI automation workflow built with n8n, Make or GHL

Project details
I've built production automation systems for real businesses - not demos, not templates. I work across n8n, Make, GoHighLevel and custom APIs and I bring AI in where it genuinely improves the outcome. You get a working system built by someone who runs an AI agency and ships daily.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Generated Art, AI-Generated Code, AI-Generated Music, AI-Generated Video, AIOps, Conversational AI, Image Analysis, Natural Language Generation, Natural Language UnderstandingAI Tools
Hugging FaceAI Models
ChatGPT, GPT-4, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 1 day |
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 Hayley
AI and Automation Integration Specialist
Stockton-on-Tees, United Kingdom - 9:57 am local time
Knows:
- Python
- NodeJS
- Typescript
- SQL
- AWS
- API Integration
- MCP's
- Slack Apps
- Stripe Integrations
Steps for completing your project
After purchasing the project, send requirements so Hayley can start the project.
Delivery time starts when Hayley receives requirements from you.
Hayley works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Discovery & Scoping
Review your requirements, confirm the tools and platforms involved, map the workflow end to end and flag anything that needs clarifying before build starts.
Step 2: Environment Setup
Connect to your platforms, configure API access, set up the automation environment and confirm all integrations are reachable and authenticated.


