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AI agents, explained by people who build them
How AI agents work, how to give one a job, which models and tools to pick, and straight comparisons of the apps that run them.
Explainers
How much do AI agents cost to run? Real numbers, explained
An AI agent's cost is the model's tokens. A morning inbox triage on a small model costs a fraction of a cent; a deep research task on a frontier model, a few cents. Here's the math.
November 1, 2026 · 3 min read
OpenRouter, explained: one account for every AI model
OpenRouter lets you use hundreds of AI models from Anthropic, OpenAI, Google, xAI, DeepSeek, and more with one account and one balance. Here's how it works and why Stormi uses it.
November 1, 2026 · 3 min read
What is an AI agent? A plain-English guide (2026)
An AI agent is software that uses an AI model to decide what to do, takes actions with tools, and keeps going until a job is done. Here's how that works, with examples.
November 1, 2026 · 5 min read
What is MCP? The Model Context Protocol, explained for non-engineers
MCP is the open standard that lets AI agents use tools like Gmail, GitHub, and HubSpot. What it is, how it works, and why it matters even if you never write code.
November 1, 2026 · 4 min read
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