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Category: AI Operations / Process Design / Knowledge Systems
Tools used: ChatGPT, Claude, Notion, Obsidian, Google Workspace, Google Sheets, Google Apps Script
Timeline: 2023 – Present
Environment: Cross-functional operations, research systems, process development, documentation, and workflow automation
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I use AI extensively.
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I also spend a significant amount of time correcting, refining, validating, and structuring its output.
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One of the fastest ways to get bad results from AI is to provide bad inputs, unclear objectives, weak documentation, or poor governance. The technology is powerful, but it is not self-directing.
My experience has taught me that successful AI adoption is less about the model itself and more about the systems surrounding it: process design, documentation, context management, quality control, change management, and human judgment.
People do not adopt systems because they are technically impressive.
They adopt systems because those systems make their work easier, clearer, or more effective.
The goal isn’t to remove people from the process.
The goal is to remove unnecessary work from the people doing it.
Most organizations are approaching AI the same way they approached spreadsheets twenty years ago: