What we can build with Ollama
ShooflyAI uses Ollama to run open models locally on a client's own machines or servers, ideal when privacy, offline use, or hardware-level control matters. We can package a working local AI stack the client runs without any external dependency.
These are example builds, not client case studies. We scope the real build to your stack and put an ROI estimate on it in an Operating Assessment first.
With Ollama you can build AI agents that run open models locally on your own hardware, so they operate fully offline with no data leaving your machines and no per-token billing. Common builds include private desktop assistants, air-gapped document workflows, local code helpers over proprietary source, and overnight batch processing on file sets you control. Ollama is a local model runtime, not a business-automation product, so it runs the model but the agent logic and integrations still have to be built around it. ShooflyAI does exactly that for mid-market companies: we package a working local agent wired to your process, keep a human approving key steps, and hand over the code, model setup, data, and IP outright. No lock-in, no revenue share.
10 ways to use Ollama with AI agents
- Fully offline local assistantRun an AI agent on a laptop or workstation with no data ever leaving the device.
- Air-gapped secure workflowsDeploy Ollama in isolated environments where external API calls are prohibited.
- Predictable zero-token costsEliminate per-token billing by running all inference on hardware you already own.
- Private code assistantRun a local model over proprietary source code without sending it to any cloud.
- Local document Q&AAnswer questions over confidential files entirely on-device with no upload step.
- Rapid model swappingPull and test different open models locally to find the best fit for each task.
- Edge and branch deploymentPut capable agents in remote sites or stores that lack reliable connectivity.
- Custom Modelfile promptsBake system prompts and parameters into a local model definition for consistent behavior.
- Dev and prototyping sandboxBuild and iterate on agent logic locally before deciding on any hosted deployment.
- Quantized models on modest gearUse quantized variants to run useful agents without expensive GPU infrastructure.
Using Ollama on its own vs. a custom ShooflyAI agent
| Dimension | Local model runtime (no built-in business agent) | Custom ShooflyAI agent |
|---|---|---|
| Setup | Install Ollama, pull a model, build the rest | We package and deploy a working agent for you |
| Handles your multi-step workflows | Runs a model, not a finished workflow | Built around your exact process and edge cases |
| Works across your other systems | No native integrations, you build them all | Integrated into your local stack end to end |
| Who owns and maintains it | You own the local setup and maintain it yourself | You own it; we can maintain or hand off |
| Cost model | No token fees, just your own hardware and time | One build fee, then your own owned hardware |
Frequently asked questions
Does Ollama keep my data fully local?
Yes. Ollama runs models on your own hardware, so prompts and outputs never leave your machine or network unless you choose to send them. This makes it a strong fit for sensitive or regulated data.
Can Ollama agents work without internet access?
Yes. Once models are downloaded, Ollama runs entirely offline, which suits air-gapped environments and locations with poor connectivity. ShooflyAI builds agents that function without a live API connection.
What hardware do I need to run Ollama?
It depends on model size. Smaller quantized models run on modern laptops, while larger models benefit from a dedicated GPU. ShooflyAI sizes the model to your hardware and performance needs.
Can Ollama run multiple models for different tasks?
Yes. Ollama can host several models locally and switch between them, so one machine can serve a chat assistant, an extractor, and a classifier as needed.
Who owns an Ollama agent ShooflyAI builds?
You do. The agent code, local model setup, data, and IP belong to your company, with no lock-in or revenue share with ShooflyAI.
Want to see what we would build for you?
We start with an Operating Assessment that maps your highest-value workflows and puts a hard ROI estimate on them before any build. You own the code, the data, and the IP.
Get your Operating Assessment →