AI Overview
The SamuraiGeeks AI section is organized around one practical question: what kind of AI system can a business actually understand, operate, and govern?
Quick read: choose the workflow first, then choose the operating model. Cloud, private, local, and
sovereign AI are different answers to control, cost, data, support, and continuity.
Decision Map
| Question | Read |
|---|---|
| What does “sovereign local AI” actually mean? | What Sovereign Local AI Means for a Business |
| How do cloud, private, local, and sovereign AI differ? | Cloud AI, Private AI, Local AI, Sovereign AI |
| When is local AI justified? | When Keeping AI Local Is the Right Decision |
| Why not just use the biggest model? | The Business Case for Smaller, Controllable Models |
| What does an internal assistant really require? | What an Internal AI Assistant Actually Requires |
| What does “open” mean for models and licensing? | Open Models and Licensing: What Businesses Need to Check |
| What should the first project be? | Choosing the First AI Workflow for a Small Business |
The goal here is not to treat AI as a product category by itself. The goal is to make the tradeoffs legible:
- who controls the runtime
- where data lives
- what can be audited
- what can be moved
- what the team can realistically support
A Useful First Filter
| If the workflow… | Lean toward… |
|---|---|
| uses public or low-risk information | hosted experimentation |
| touches internal documents or customer records | private, local, or sovereign controls |
| needs to work offline or near the work site | local operation |
| must survive vendor changes | portable architecture |
| happens often enough to measure | a real pilot |
| happens rarely and has no owner | wait or redesign |