cyberkinesis Core Alignment Model (Sensemaking)

Using GPT for Efficient Content Generation and Publication

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Let's see if the file mentions anything specific. It found three posts: “Playing the Position Game,” “Positioning Your Business,” and “Positioning for Success.” This worked well, as it pulled up these three entries and provided the links. However, I accidentally tried to download the entire file, which isn't what we want. Still, it's good to see it finding the relevant entries.

The tags were initially not working because I had not included the hashtag. Once corrected, it worked, allowing me to pull up documents from the database of 1,300 posts and mix and match them. For example, entries tagged as RAW include “The Impact of AI on Real-Time News Aggregation” and “Achieving Focus on Clarity in Digital.”

Next, I searched for posts about designing a personal brand. The system dynamically looked through the database, retrieving content pieces and providing detailed tags and guidelines. This allows me to combine different entries to produce new insights. For instance, I combined insights from “The Positioning Game” and “Clarity in Digital,” resulting in a synthesis that I then copied into Obsidian.

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In Obsidian, I generated a title, “The Keys to Personal Development Success,” and requested a short introduction and conclusion. After pasting these into the document, I added relevant tags and published it directly from Obsidian. This quick process showcases the integration between note-taking and publication.

Now, let's refresh the website to see the new post. The article, “The Keys to Personal Development Success,” appears as expected. While some editing might be needed for perfection, the system effectively produced a publishable article. The content highlights key points such as goal setting, strategic positioning, and the importance of routine and consistency for long-term success.

There were some formatting issues, which I corrected by editing the post on the website. This demonstrates the potential of dynamically generating and publishing content efficiently. I hope this helps illustrate the process and capabilities of the system.

About the author

John Deacon

Information entrepreneur and digital brand developer; creator of the Core Alignment Model (CAM), a framework for adaptive digital transformation that integrates observation, orientation, decision-making, and action to streamline dynamic and comprehensive reasoning in humans and machines for enhanced sensemaking.

cyberkinesis Core Alignment Model (Sensemaking)

John Deacon

Information entrepreneur and digital brand developer; creator of the Core Alignment Model (CAM), a framework for adaptive digital transformation that integrates observation, orientation, decision-making, and action to streamline dynamic and comprehensive reasoning in humans and machines for enhanced sensemaking.

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