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AI Path Pro

AI PATH PRO / FIELDNOTES · EN

Package your working method

Reusable instructions, maintained knowledge and a clear output.

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AI PATH PRO / TEXT EDITION

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AI Path Pro · 20 minutes

Choose a recurring preparation task. Separate the stable method from the data that changes with every case. Use this to define a GPT, skill or plugin supported by your working environment.

The method

  1. Choose a recognisable job

    State when to invoke the assistant and when not to. Preparing a quote brief is a useful scope; taking over every sales activity is too broad for a first version.

  2. Separate method from case data

    Shared templates, checklists and good examples belong in the knowledge pack. Current requirements and dates are separate inputs. Give every maintained source a version and an owner.

  3. Try three kinds of input

    Use a complete case, an incomplete case and a contradictory case. Record the output you expect. Identifying a gap and asking a focused question can be the correct result.

The quote-brief assistant

Illustrative example. A sales coordinator extracts the same six fields from each enquiry. This case includes the requirement and quantity, but no delivery location or requested date.

Standing instruction: prepare a brief from the supplied case data and mark missing fields. Output: requirement, quantity, location, requested date, open question and source passage. In this case, location and requested date are “missing”. Next action: prepare two focused questions. The assistant does not invent a price or a committed delivery date.

Your worksheet

Name and trigger

What single task is this for? Write a concrete starting request and one situation where it should not be used.

Standing method

In what order should it work, which sources may it use, and how should it handle gaps?

Knowledge and case data

What belongs in the shared knowledge pack, who updates it, and what must be provided separately for each case?

Output and trial

Which fields are required? What should happen with complete, incomplete and contradictory inputs?

Review checks

  • The knowledge pack and current case data are kept separate.
  • Sources have a version and a responsible owner.
  • Each of the three trial cases has an expected result defined in advance.

Save a working example

Keep the instruction, a good input and its checked output together. Give the pack a version and record what changed since the previous trial.

Take it into your own work.

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