Let's Delve into the Game Changer—Writing with AI

Is AI writing "good" or "bad"?

If your LinkedIn algorithm is anything like mine, you’ve seen the debate. Perhaps that’s all you’ve seen lately. On one side, purists claim AI writing is soulless slop. On the other, evangelists claim it’s a magic button for content.

It’s almost as if there are two groups on the internet who are incapable of grasping that the other group can hold a reasonable but different perspective. Shocking.

The debate is too binary.

Here’s my take: Effective users don’t ask AI to do the work for them. They write with AI.

In 1980 (and again in 1990), Steve Jobs famously described the computer as a "bicycle for the mind." He noted that while a human isn't the most efficient mover on the planet (a condor beats us easily), a human on a bicycle blows the condor away.

AI is the new bicycle. It doesn’t replace the rider; it amplifies their effort. 

1. The Interview Method (Don't Prompt, Converse)

If you’ll allow me to beat the life out of this metaphor a little more, when you see writing that is obviously written by a robot, the the human behind that post or email thinks that AI bicycle is fully autonomous, and the rider can close his eyes and let go of the bars—it’s not.

Full confession: I’ve closed my eyes before. I’ve let go of the bars. It didn’t go well. 

Instead, in a professional setting, treat your AI like an editor.

Next time you need to write a memo or an article, don’t paste your rough notes and say "rewrite this." Try this prompt instead:

"I want to write a piece about [Topic]. Act as a skilled interviewer. Ask me 5 probing questions, one by one, to help me extract my specific thoughts, experiences, and opinions on this topic. Once I answer them, we will draft the content together."

This moves you from passive generation to active collaboration.

2. Clone Your Voice (and Your Bias)

Generic AI sounds mid because it defaults to the average of the internet. To get value, you must train it on you.

  • Source Material: Feed the AI your previous best writing (emails, newsletters, reports). Ask it to analyze your syntax, tone, and sentence structure.

  • The Bias Feature: We often hope to strip bias from AI, but writing requires a point of view. Perhaps you have a bias for efficiency, action, and inclusion. Tell it what YOUR bias is. Ask it to push back on your bias a little, and you should use YOUR judgement to keep or adjust.

Use AI’s ability to see different perspectives, but don’t let become your perspective automatically.

3. The "Delve" Dilemma & The "AI Tells"

We all know the "tells" of lazy AI writing. The overuse of the word "delve." The word "game changer." The excessive use of em dashes—like this one—to break up thoughts.

Some of this is fine (I happen to like em dashes). But letting them all through signals a lack of oversight.

However, we need to ask a harder question: What is the goal of this writing?

  • Signaling vs. Communicating: In a letter to a loved one, the goal is to signal effort. It should represent what’s in you completely. You want them to know you sacrificed efficiency to write from the heart. In that context, don’t use AI unless you want to sleep on the couch.

  • Efficiency: In a business context, the goal is often to transfer information effectively.

We are seeing a massive culture shift. Increasingly, forward-thinking CEOs are discounting the value of "pure human" writing in operational contexts.

They don’t want to pay you to spend 4 hours crafting a memo that AI could help you structure in 20 minutes. They want you to use that saved time for high-level strategy and innovation.

The Path Forward

The high performing AI users who are seeing massive returns from AI aren't just using better tools; they are fundamentally redesigning how they work.

This includes how they communicate.

At GapJump AI, we help organizations build these systems. We ensure your LLMs aren't just generating average text—they are trained to be an effective editor and collaborator in a way that is grounded in your company culture, mission, and values.

This allows for increased efficiency and innovation without abandoning the human element that will always be paramount. Even if a rogue em dash sneaks in there every now and then. 

Kevin Brookhouser

GapJump AI was founded by Kevin Brookhouser, a Google Certified Generative AI Leader. With over two decades in innovative technology adoption, Kevin offers a pragmatic, hands-on approach, helping teams deploy powerful technologies to streamline work, automate workflows, and find joy and strategic advantage in using AI. Our approach ensures that every client benefits from a unique fusion of visionary thought leadership and practical, implementable strategies.

https://gapjump.ai
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