Blog

Engineering

How Agent200 works under the hood: execution, tool calling and the infrastructure around AI agents.

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Engineering

Inside run(): how the tool-calling loop works

Making a tool available is not the same as calling it. A walk through one run() request: the model, the instructions, the tools, and…

2 min read

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Engineering

Designing agents for many users from day one

A demo has one user. A product has thousands, each with their own accounts. How per-user connections work, and four rules for your side.

2 min read

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Engineering

Tool calling, from first principles

A model cannot call anything. It writes a structured request and something else executes it. How the exchange works, and where Agent200 sits in…

2 min read

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Engineering

Agents that answer with sources

A claim asks for trust; a cited fact earns it. Which tools return references, how to ask for citations, and how to design answers…

2 min read

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Engineering

RAG Worked Because Your Data Sat Still

For years RAG was the default way to connect AI to data, and it worked because the data didn't move. Why that stopped being…

6 min read

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Engineering

How to Connect AI Agents to Email

Connecting an AI agent to email is a six-layer problem, and most teams only budget for two. Gmail API, Microsoft Graph, IMAP, parsing services…

4 min read

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Engineering

Email Context for AI Agents: Build or Buy?

RAG works on documentation because it has clean structure and no concept of time. Email has neither. The six layers of email context, three ways to get them, and what each costs.

3 min read

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