PRACTICAL AI ENGINEERING

AI agents for real work

Field notes from a working lab: how we build, test, monitor and improve AI agents before trusting them with real processes.

What you will find here

• Repeatable workflows for email, Telegram, documents and research.
• Failure reports with the fix, verification steps and remaining limits.
• Clear explanations of agent memory, approvals, costs and security.

Editorial rule

We separate observed facts from interpretation, link to primary sources where possible and publish test results with their limitations. English articles will be added after review, not machine-published without a quality check.

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