I implement AI technically

MCP, agents, security and designing a workflow. 5 steps · ~54 min

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  1. 1Reference

    MCP in plain words: how AI gets access to work data

    What MCP is, why a company needs it, how it works and what to check before connecting AI to work systems.

    ~8 minRead next
  2. 2Analysis

    How to connect an MCP server without giving it more than it needs

    How attacks through MCP arise and what to check before connecting a server: permissions, tool descriptions, tokens, changes and confirmations.

    ~13 min
  3. 3Model

    Someone else's skill doesn't know your work: how to teach AI your own approach

    How to turn a working instruction into an approach that covers when to apply it, the professional decisions involved and how to check the result.

    ~12 min
  4. 4Analysis

    Examine your working day first, then build an AI agent

    Before creating an AI agent, trace one real task from request to result and choose a small, testable change. The article includes a prompt for examining a work process.

    ~9 min
  5. 5Model

    How to prepare a work process for an AI agent: ten checks

    Ten checks that help you find the gaps before you hand a real work process to an AI agent.

    ~12 min