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Notes, lessons and investigations into how design, technology and AI work in real projects. Including when things don't go quite as expected.

A defined workflow lets AI agents gather information, prepare drafts and check the result. Staff receive what needs their judgement, and a person always approves high-stakes work.

  1. When internal tools share buttons and layouts, you can save repeated maintenance work. Staff also have less to learn each time a new tool arrives.

  2. An employee sends one message in the chat and receives a draft in your tone, with unsupported claims flagged, or a question if something is missing. This saves copying between AI tools and can reduce corrections before approval.

  3. Translations can save time until someone has to shorten every field by hand. An automatic length check can catch problems before publication and collect the texts that need correcting.

  4. An AI solution should save more work than it creates. A focused trial can show whether its answers are useful and how much checking they require.

  5. An AI assistant can save time on recurring customer questions. But a clearer product page may be enough, so start with the task customers struggle to complete.

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