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Custom AI Systems

Building assistants and AI agents that handle real work: recording, monitoring, summarizing, and reminding.

The problem it solves

Many AI tools stop at the demo stage — impressive to watch but never touching daily work. What's needed is a system that genuinely gets used, every day.

Expected outcome

An AI system genuinely used daily — not a demo abandoned after the presentation.

Approach

  • Choosing one real task with a clear outcome, not an experimental project
  • Building an agent with access to the relevant data and tools
  • Setting up memory and procedures so the system learns from past work
  • Rolling out gradually: starting with a small task, then adding capability

How to start

Describe the single most boring, most repeated task. That's usually the best starting point.

AI agentsLLM APIsPythonTool integrationSelf-hosted deployment

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