Private LLM Systems & MCP Agent Workflows
Local AI configured for your data, hardware, and operations.
I design and configure local LLM environments for businesses that want AI capabilities without sending sensitive data to third-party model providers. This includes model selection, hardware sizing, local inference setup, retrieval over business documents, and MCP servers that let agents safely interact with approved systems and workflows.
What it covers
- Open-weight model selection for your workload
- Hardware sizing for local AI workstations and servers
- Private RAG over your internal documents
- MCP agent workflows with human approval gates
- Setup, documentation, and handoff
Private AI on hardware you control
Instead of relying only on cloud AI tools, I configure models to run on your own workstation, server, or private network. I help you choose practical hardware too, from an existing business PC for smaller models to a multi-GPU server for larger models and multiple users. The right setup depends on your data sensitivity and budget.
Model selection, not one-size-fits-all AI
Different models are better for different jobs. I help select and configure open-weight models such as Llama, Qwen, and DeepSeek for the work that fits them, from document retrieval to workflow automation.
Connected to your data and tools
The model can be connected to your own files using retrieval-augmented generation, so it answers from your SOPs and internal documents instead of only its training data. I also build Model Context Protocol servers that let approved agents use specific tools, from searching documents and checking inventory to drafting quotes or routing tasks for human approval.
Secure by design, with a clean handoff
Local AI does not automatically mean secure AI. I configure access controls and scoped MCP tool permissions so agents can help with real work without gaining unnecessary access. The engagement includes installation, configuration, documentation, and a handoff so your team can operate and maintain the system.
Models matched to the job
General business assistant
chat, document Q&A
Reasoning and analysis
multi-step analysis, research support
Coding and technical agents
script generation, developer workflows
Embeddings and retrieval
semantic search, RAG
Hardware for every budget
Starter local AI
Existing Mac, Windows, or Linux workstation for smaller models and single-user workflows.
Business AI workstation
Dedicated GPU workstation for stronger models, private RAG, and internal team use.
Advanced local AI server
High-VRAM or multi-GPU server for larger models, longer context, and concurrent users.