Using AI For Writing is Lazy? Think Again

Some believe that using AI for writing articles is lazy, not creative, and that you don’t earn the credit for doing it. I disagree. Or, it depends. Here’s a personal experiment.

This week, I shared an article about digital sovereignty with my professional network on LinkedIn. Even if I used ChatGPT to write the article, I spent days on it, or, more specifically, I spent days creating and testing different prompts. The article was written in French, then later translated into English and shared on my blog (see “On Digital Sovereignty and Strategic Realism”).

In this meta blog post, I want to share the final prompt that led to the article. Please note that the final response from ChatGPT was manually modified before being posted. Here’s the prompt below followed with some comments.

I would like you to write an article of no more than 1500 words on the topic of digital sovereignty, a subject that is currently highly relevant both in Québec and around the world. This article will be read by information technology and cybersecurity professionals. It should offer a clear-eyed perspective on the issues and challenges related to the pursuit of digital sovereignty for organizations and governments. The article should not be alarmist, but realistic and critical, with the goal of prompting reflection among readers.

Here is how the article should be structured: an introductory section that provides context, followed by a section explaining why digital sovereignty is essential but not a fully realistic target in absolute terms; we must remain pragmatic. Then, a section offering potential solutions or realistic strategies that large organizations should adopt, especially if they are critical to society.

The article should conclude with open questions inviting readers to reflect and comment in order to spark a constructive conversation. Use the following elements to build the article. Reuse the provided links as references.

  • Over the past five years, a series of international, political, and technological events has forced us to examine the notion of digital sovereignty (a few examples: the rise of the GAFAM giants, the Snowden affair, the U.S. Patriot Act and Cloud Act, recent U.S. elections, mergers and acquisitions in the tech sector, etc.).
  • What exactly is digital sovereignty? “Digital sovereignty refers to the ability of a state, an organization, or an individual to control and manage its data, digital infrastructures, and technologies in order to ensure its strategic autonomy and security in the digital space.”
  • It is the ability to fully exercise one’s rights and choices in the digital domain without being subject to external constraints.
  • Major outages from several cloud service providers have occurred, the most notable being:
  • AWS (October 20, 2025: Revealing the Cascading Impacts of the AWS Outage – Ookla)
  • A Microsoft Azure outage (October 29, 2025: Microsoft Azure Outage: How the World’s Second-Largest Cloud Platform Went Down – ThinkCloudly)
  • And more recently, a Cloudflare outage (November 18, 2025: Cloudflare outage on November 18, 2025)
  • Another outage occurred last year, on July 19, 2024, when a problematic update from CrowdStrike caused widespread service failures (2024 CrowdStrike-related IT outages – Wikipedia)
  • These outages strongly remind us of our deep dependence on cloud services and technology in general, both personally and within organizations.
  • We need to reflect and attempt to find viable answers and strategies to these questions: Are we well prepared? Do mitigation solutions exist? Is digital sovereignty only about data?
  • Is digital sovereignty a mirage? Are we not always dependent on something beyond our control? We must keep in mind that:
  • Complexity and cost: Developing sovereign solutions (cloud, software, artificial intelligence) requires massive investments.
  • Global interdependence: Digital value chains are globalized, making total autonomy difficult, if not impossible.
  • Risk of protectionism: Some fear that digital sovereignty could be used as a pretext for trade barriers.
  • Clearly, digital sovereignty is not merely about using or not using cloud computing, or choosing which cloud to use; it is much broader than that.
  • I really like this quote, and it must be integrated into the article: “Digital sovereignty is neither a luxury nor a technological gimmick. It is a pillar of resilience and democracy.” — Le Devoir: https://www.ledevoir.com/opinion/chroniques/936699/parlons-souverainete
  • I believe we need to accept the fact that we will never have full control over our digital destiny. Therefore, we must adopt mitigation and exit strategies to reduce dependency links.
  • We must maintain a message of independence toward major industry players so that they understand they are not alone, even if they are powerful. We need to be strategic, give ourselves the means to stay agile, and diversify.

As you can see, the prompt is nearly as long as the final product. It took me a dozen tries to see what ChatGPT could create. After each try, I would modify and add instructions to the prompt. Oh, and I searched for references myself. In short, this was a multi-day effort. Am I a lazy guy? You tell me.

My Content Creation Ecosystem - Fall 2025 Update

It has been a while since my last update in March 2025. Here’s a summary of the changes.

  • I removed Brief.news because I no longer think it will replace Mailbrew.
  • I removed Mailbrew because I no longer depend on it to consume Internet content. I tried to replace it with Inoreader email digests, but it didn’t work as I wrote here.
  • I decided to add ChatGPT Atlas because I now have a solid use case for it: articles summarization and analysis, as I explained in this YouTube video. This means Perplexity didn’t stay from my previous update. I’m focusing and want to settle on OpenAI for the foreseeable future.
  • My new personal landing page, which is mostly complete, has replaced the one previously hosted on Craft public documents.
  • I also made several visual tweaks to make it cleaner and more visually appealing.

The pace of updates slowed considerably in the last two years. It’s a good thing, and it means I can focus more on content and less on tooling.

Screenflow + Screen Studio

This week, I decided to add Screen Studio to my YouTube recording workflow. Screen Studio brings simplicity for recording more dynamic screen sequences. Everything Screen Studio does can be done in ScreenFlow, but it requires significantly more manual work. But Screen Studio has a severe limitation: we cannot merge recorded sequences. That’s why I’m keeping ScreenFlow.

In summary, my workflow proceeds as follows: individual sequences are recorded in Screen Studio, exported as .mp4 files, and then imported into ScreenFlow to be assembled into a complete video sequence, which includes the intro and outro sequences with background music. Chapter markers are also added in ScreenFlow before final export. Finally, video subtitles are created using Whisper Transcription and exported as an .srt file, which is compatible with YouTube Studio.

Overall, I do spend more time on video rendering, but I think it’s worth it. Lastly, disk space consumption is way higher than before, with 2x-3x more space consumed than with ScreenFlow alone. Ouch.

One more thing: Screen Studio is the only app that makes the M4 Mac mini fan run at full speed. I wonder if Screen Studio uses Apple Metal technology?

Behind the Scenes of the “On Apple Failures" Writing Project

I’ve long wanted to write an article like this one. However, as Apple continued to add to its list of failures, poor Apple, I kept pushing back the deadline. This summer, however, the timing was right. Here’s what I did differently this time.

A few months ago, I started gathering a list of Apple’s failures in a Craft document. I wanted to cover the period from when Tim Cook took over as Apple’s leader, following Steve Jobs’ passing, up until now. For each failure, I wrote a summary that included a description, some context, and a list of potential collateral damage to Apple’s reputation and brand. Then, I turned to ChatGPT for help.

I set up a space to upload files, one for each failure, and began a separate “conversation” to explore areas I hadn’t already covered. This process took a few weeks. I’d revisit one of the failures every other day and continue the conversation until I was satisfied.

Next, I started creating a first draft based on all the conversations in this ChatGPT writing project. It took many prompts to refine the base content before exporting it as a Markdown file. Then, I set up a new conversation, uploaded the file, and asked ChatGPT to continue working on the article, this time in canvas mode. It took many more iterations and manual edits to finish around 85% of the writing process.

After that, I imported the text back into Craft and kept adding relevant facts and comments. As I went along, I started searching for photos that could illustrate each section. I used Kagi Search for all my image searches. For each photo, I wrote a brief caption that gave a unique perspective on the failure it was highlighting.

It’s also worth noting the role of Grammarly. As I finished writing in Craft, I used Grammarly to rephrase parts I didn’t quite like. I ended up keeping around half of Grammarly’s suggested rephrases.

In summary, generative AI was a significant contributor to my writing, either through the use of ChatGPT or with Grammarly’s constant supervision. I’m not sure how I should feel about this, nor how you should think about it, now that you know. Make no mistake, the original writing project idea is mine. The selection of Apple’s failures is mine. The starting point of research is mine. The selection of images is mine. Supervision of ChatGPT’s contribution is mine. But is the final product mine? Anyway, complete transparency, now you know.

I have always been torn between creating text-only quotes and image-based quotes. Text-only quotes are easier to resurface and index, while image-based quotes are more visually appealing. You’re preference?

Eternal Debate for Online Creators

While searching for blog posts on numericcitizen.me, I discovered a few duplicates and some that were no longer relevant. I removed the duplicates, likely caused by previous migration processes, and decided to unpublish the outdated posts. There seems to be a debate about whether we should delete past publications. Some argue that all blog posts, regardless of relevance, reflect our identity and showcase what we once considered important. Others believe that removing irrelevant posts, which they refer to as noise, helps the remaining content stand out. As I agree to both arguments, I’m allowing myself to do some cleanup, from time to time, and it’s ok.

Important additions to my generative AI usage rules: use more than one service, try paid version to get better results, prioritize cloud-based services. More details here.