You will get your own private AI assistant, self-hosted with Ollama and OpenWebUI
Project details
Want the power of an AI assistant without sending your data to OpenAI, Google, or anyone else? I set up a private AI that runs on your own hardware or server. Your prompts and documents never leave your control, which matters a lot in law, healthcare, and finance, or if you just don't want your business data training someone else's model.
I install and configure Ollama (the model engine) and OpenWebUI (a clean, ChatGPT-style interface your team can actually use), tuned to your machine and use case. You get a working private AI plus documentation so your team knows how to use it and you know how to maintain it.
This is real setup work, not advice, from someone with 15+ years running IT systems.
I install and configure Ollama (the model engine) and OpenWebUI (a clean, ChatGPT-style interface your team can actually use), tuned to your machine and use case. You get a working private AI plus documentation so your team knows how to use it and you know how to maintain it.
This is real setup work, not advice, from someone with 15+ years running IT systems.
AI Algorithms
Large Language ModelAI Applications
AI ChatbotAI Models
LLaMAWhat's included
| Service Tiers |
Starter
$350
|
Standard
$900
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 21 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 Jeff
AI Automation for Small Business | n8n Workflows | Human-Approved
Little Rock, United States - 2:07 pm local time
Most small businesses want the speed of AI for customer messages but can't risk it going off-script — a wrong shipping date, a refund you never approved, an answer that wasn't true. I solve that with human-in-the-loop design: the AI does the heavy lifting (reading, classifying, and drafting replies grounded in your own policies and product data), and a person on your team reviews and approves before anything reaches a customer. Nothing sends, pays, or commits on its own.
What I build:
Inbox & order-inquiry triage that auto-drafts replies for shipping, returns, availability, and sizing questions
Email and workflow automation on n8n, connected to Gmail, Outlook, Front, or Missive
Policy- and catalog-grounded AI, so replies are accurate instead of invented
A human approval step built into the workflow itself — not left to memory or discipline
Testing against your real message history before go-live, plus documentation your team can actually run
Why me: 15+ years in enterprise IT — Windows, Active Directory, Microsoft 365, ServiceNow, including a Systems Support Analyst role at a major hospital. I've spent my career keeping business-critical systems reliable, documented, and safe to change. That's the difference between an AI "consultant" who hands you advice and someone who hands you a working, documented system that holds up in production — not just in a demo.
New to working together? Start small: I'll build a proof-of-concept on your own data — a short walkthrough showing one of your real message types read, classified, and drafted, human-approved — so you see exactly what a safe automation handles before any larger build. The fee credits toward that build.
If you've got a steady flow of customer messages and want AI that speeds you up without taking the keys, send me a note about your inbox and I'll tell you straight whether it's a fit.
Steps for completing your project
After purchasing the project, send requirements so Jeff can start the project.
Delivery time starts when Jeff receives requirements from you.
Jeff works on your project following the steps below.
Revisions may occur after the delivery date.
Plan the setup
I match the right open models to your hardware and confirm your privacy and use-case needs.
Install and configure
I install Ollama and OpenWebUI on your machine or server, load the models, and tune the config.