Ollama lets you run open-source AI models on your own machine — no API key, no account, no per-token bill, and nothing that can be rate-limited or revoked. For a whole class of tasks it's the most reliable component you can build on. For others it isn't enough on its own. Here's the honest line.
What it's great at
Bounded, well-defined tasks: classification, extraction, tagging, summarization, cleaning up text, first-draft copy, routing decisions. Small models like llama3.2 handle these on ordinary hardware, instantly and for free. Because there's no API key, there's nothing to leak, expire, or revoke — it's the one part of your stack that can't fail for credential reasons.
Where it needs help
The hardest reasoning, the longest context, and the highest-quality writing still favor larger hosted models. The move isn't “local or cloud” — it's local first, cloud as fallback. Run the bounded work on Ollama; reach for a free hosted tier (Groq, Gemini, OpenRouter) only for the steps where the local draft isn't good enough. Usually it is.
Getting started
Install Ollama, pull a small model, and it serves an OpenAI-compatible API at localhost:11434. Point your existing code at it by changing the base URL. That's the whole integration.
The design rule
If a component needs a key to think, keep a local Ollama fallback behind it. Then a dead key or a rate limit is a slowdown, not an outage — the difference between a system that survives and one that doesn't.
The full free-AI stack is mapped in The One-Person Builder's Free Stack, and The $0 AI Stack guide shows how the pieces fit — pay what you want, 70% to the Palestinian Children's Relief Fund.