You will get a private AI agent with a chat interface
Project details
I will deploy a private AI agent with a clean chat interface on your infrastructure. One agent, one interface, fully yours. The agent runs on your server with the model of your choice, a web-based chat UI, and optional tool access. No third-party platforms see your conversations. I built and operate a private agent runtime with 5 production agents, 8 in development, each with their own workspace, model routing, and operational controls. This is the simplest version of that system: one agent, one chat, deployed and documented so you can run it without me. You get a private AI assistant that lives on your infrastructure, not someone else's cloud.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AIOpsAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, NVIDIA AI PlatformAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 15 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 Sadie
Autonomous Agents Engineer | AI Infrastructure | Systems Admin
Shelburne, United States - 5:25 am local time
My background combines systems administration, platform engineering, and hands-on IT operations. I have 16 years of IT experience, so I approach AI systems like production systems, not demos. I think about uptime, permissions, observability, failure modes, documentation, and handoff, not just prompts.
My work includes multi-agent runtime design, secure vaults, encrypted communications, agent memory pipelines, MCP server integrations, operator dashboards, billing and audit systems, and deployed SaaS tools. I also build practical workflow tools for day-to-day operations, including monitoring systems, notification tools, field workflow automation, and AI-supported reporting interfaces.
I can help with:
- autonomous agent architecture
- RAG and knowledge systems
- MCP server and tool integration
- secure AI infrastructure and credential handling
- systems administration for agent runtimes, Docker, and VPS environments
- workflow automation and operator dashboards
- production hardening, documentation, and handoff
If you need more than a chatbot and want an engineer who can make agent systems secure, reliable, and operational, I’m a strong fit.
Steps for completing your project
After purchasing the project, send requirements so Sadie can start the project.
Delivery time starts when Sadie receives requirements from you.
Sadie works on your project following the steps below.
Revisions may occur after the delivery date.
You tell me what the agent should do, where it sho
You tell me what the agent should do, where it should run, and which model to use.
I configure the agent, build the chat interface, a
I configure the agent, build the chat interface, and deploy to your server.