There is a specific metaphor from motorcycle culture, championed by the team at Fortnine, that has been rattling around my head lately: "You paid for the whole tachometer, so use the whole tachometer." In the world of riding, it reminds you that the machine is designed to be pushed, that the redline exists for a reason, and that timidity often robs you of the full experience. I realized recently that I have been a timid user of my own digital tools. I have been paying for Google Workspace and its burgeoning Workspace Intelligence features, yet I was treating them like a simple filing cabinet rather than the high-performance engine they actually are. I decided it was time to stop hovering at low RPMs and finally jump in with both feet, moving my entire existence (emails, calendars, documents, and Gemini chats) into a unified, professional environment.
The Practical Case for Digital Stewardship
This shift was not just about technical curiosity. It was an act of digital stewardship. I found myself interested in Jake Van Clief’s Interpretable Context Methodology, though adapting it for a Google Drive Projects environment proved to be its own unique challenge. As someone with a generally conservative worldview, I tend to favor grounded, incremental personal improvement over the loud, utopian promises of progressivism. For me, choosing to trust Google Workspace’s data privacy over the Wild West of public LLMs was a deliberate, practical choice. One I hope I don’t regret. It was a move away from seeing AI as some looming, abstract "Skynet" and toward seeing it as a professional-grade information tool that I am responsible for directing.
From Passive Tool to Active Agent
The real "aha" moment came when I noticed my system evolving. It stopped being a manual that simply told me what I needed to do and started becoming an agent that actually performed tasks. Moving away from a simple chat interface to the integrated flow of Smart Chips and Building Blocks changed everything. Just as riding a motorcycle requires you to plan for traffic much further ahead than you would in a car, I found myself planning ahead for context within my documents and applications. I am no longer just a passive user clicking buttons; I am a director of information, setting the stage so that Gemini can use the context I have carefully provided.
The Meticulous Work of Building an External Brain
Getting to this point required what I consider "deep thinking" 🫏 and a fair amount of frustration. To make the AI truly effective, I had to atomize my Standard Operating Procedures into individual, crawlable documents. It is meticulous, exhausting work. Creating "router" documents to standardize file naming and meta-tagging felt like a massive technical hurdle at first, but it was necessary to build a reliable external brain. As Gemini becomes more aware of what I’m trying to accomplish, it has become more helpful in the process. This documentation is as much for my future self as it is for any current project. I want to look back at these systems and know exactly why I built them the way I did, ensuring that my future self isn't left guessing at the logic of the past.
This is no time to be timid when the world is moving this fast. Redesigning my digital life inside Google Workspace isn't about chasing a tech-bro pipe dream. It is about practical optimization. It is about making my life easier and better through intentionality and the refusal to let powerful tools sit idle. I am finally getting my money’s worth. I am using the whole tachometer.
Optimization and automation is very powerful when we utilize it properly, some how it just compartmentalizes us and our workflow.
Right. I haven't mastered it yet. I'm still like a monkey with a stick in terms of technology. But so far it has been yielding impressive results. The best way I can explain it is like using command line utilities. They are very specific and efficient at what they do. In that sense compartmentalizing is good. I'm not trying to do things with one big elaborate prompt. I'm breaking it up into multiple steps in which I supervise the intermediate results.
Did you consider tools such as Obsedian or the new Tolaria icm a local LLM such as Gemma4? What format you decided for in google workplace? Mark down?
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