2 posts tagged with "ollama"

Most "AI" projects are still just API calls wrapped in if/else logic. True agentic AI gives the model real tools — file access, database queries, API calls — and lets it decide how to use them to accomplish a goal.

Model Context Protocol (MCP), developed by Anthropic, is the emerging open standard for connecting AI agents to those tools in a secure, structured way. In this guide you'll configure two MCP servers, write a simple agent, and automate a daily reporting task — using Claude, OpenAI, or a self-hosted Ollama model.

LLM costs in production pipelines scale differently from anything else in your data infrastructure. A poorly architected pipeline that sends every event through GPT-4o can burn through thousands of dollars per day. A well-architected one running the same workload might cost a tenth of that — by routing each task to the model that's just capable enough for the job.

This post covers the cost architecture decisions that keep AI pipelines economically viable at scale.