You will get an internal platform for creating and managing AI agents

Name: You will get an internal platform for creating and managing AI agents
Availability: InStock

Sadie T.

Sadie T.

Project details

I will build an internal platform where your team creates, edits, versions, and deploys AI agents without managing disconnected prompts and scripts. Agents become real artifacts with structured identities, skill definitions, and deployment pipelines. I built a production agent builder with Monaco editor integration, versioned configurations, and framework-level agent design. You stop managing one-off prompts and start running agents as repeatable, auditable systems.

AI Algorithms

Large Language Model

AI Applications

AI Chatbot, AIOps

AI Development Language

Python

AI Tools

Azure OpenAI, Hugging Face, NVIDIA AI Platform

AI Models

ChatGPT, GPT-4, OpenAI Codex

What's included

Service Tiers	Starter $1,200	Standard $4,000	Advanced $12,000
Delivery Time	7 days	21 days	45 days
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 - 2:59 pm local time

I build autonomous agent systems and the infrastructure behind them: private AI environments, persistent memory, secure credential access, RAG knowledge layers, MCP integrations, workflow orchestration, and the operational controls that make agent systems usable in real work.

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 describe the agents your team needs and the wo

You describe the agents your team needs and the workflows they support.

I build the platform with agent templates, editor

I build the platform with agent templates, editor UI, version control, and deployment pipeline.