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AI

What is an AI application?

An AI application is ordinary software that uses a language model for one specific step. The model is rarely the hard part.

By Tomryn ·

The phrase covers a lot of ground, which is part of why it confuses people. In practice an AI application is a piece of software that does a defined job, and that uses a language model for one or two steps inside that job, usually the steps that involve reading unstructured text, writing a draft, or classifying something that does not fit neatly into rules.

Everything else about it is ordinary software: a place to enter information, a database, permissions, a way to review what happened.

What separates an application from a demo

A demo shows the model producing a good answer once. An application has to produce an acceptable answer repeatedly, for inputs nobody anticipated, in a way that someone is willing to rely on.

That difference is where most of the engineering effort goes.

  • Access to the organisation's own information, rather than general knowledge.
  • Handling for the cases where the model is unsure or wrong.
  • A human review step wherever the output has consequences.
  • A record of what was produced and on what basis.
  • Permissions, so the application cannot surface information a user should not see.

Common shapes

  • An assistant that answers questions from a defined body of internal material.
  • A document processor that reads incoming files and extracts structured fields.
  • A drafting tool that produces a first version of a routine reply or summary.
  • A classifier that routes incoming work to the right person or queue.

When it is the wrong tool

If the task has clear rules, write the rules. A model introduces variability where none is wanted, and costs more to run. AI earns its place where the input is messy, the variation is genuine, and a rules engine would need hundreds of branches.

The other common mismatch is accuracy tolerance. If a wrong answer is unacceptable and cannot be caught by review, the honest answer is often not to automate that step.

Talk to Tomryn

If something here applies to a decision you are making, a short conversation is usually the fastest way to work out what is worth doing.