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effect of the change? These questions arise during review, audit, or the arrival of a new team
member. AI can organize the log, but the decision itself is written by the person responsible.
Finally, design the project so that another person can understand it. An organized folder, a
readme, a data dictionary, a file map, running instructions, an AI log, and a list of verified
references form an infrastructure for trust and productivity. The time invested in them
returns during updating, collaboration, and responding to reviewers.
FIGURE 7-9: AN AI USAGE LOG THAT SUPPORTS REPRODUCIBILITY
What to notice: The log must record the tool, the purpose, the inputs, the outputs, the
review, and the files, so that an influential step never remains inside an unrecoverable
conversation.
Source: Prepared by the author.
TABLE 7-35: ESSENTIAL FIELDS IN AN AI USAGE LOG
Field What is recorded
Tool and version The name, the model, and the version or date of access.
Research step Which stage of the work the use served.
Inputs What was provided, described without sensitive detail.
Main instruction The prompt or the settings that materially shaped the output.
Output kept The saved result and its file name.
Accepted and
What was used, what was refused, and on what grounds.
rejected
Human verification Who checked it, against what, and when.
Effect on the work Which section, table, or decision it influenced.
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