The AI Ghostwriter Experiment
The author conducted an experiment using AI to ghostwrite technical blog posts while balancing engineering work and university. While the AI produced polished and technically accurate content, it lacked the real-world friction and personal insights that come from authentic engineering experiences. As a result, the author decided to shift back to a more human-driven writing process to preserve the unique, gritty perspective of hands-on development.
- ▪The author used LLMs to automate blog writing for their 'Engineering in the Wild' and 'System Design' series.
- ▪AI-generated content was technically sound but sanitized, omitting real-world challenges and personal decision-making.
- ▪The workflow included inputting project notes, generating articles via prompts, and outputting formatted markdown with code snippets.
- ▪The author concluded that fully automated content lacks authenticity and risks becoming commoditized.
- ▪Going forward, the blog will emphasize genuine, human-driven narratives over AI-generated perfection.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3564172) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Hrishikesh Dalal Posted on May 17 The AI Ghostwriter Experiment #ai #systemdesign Over the past few months, I ran an experiment on this blog. Balancing engineering projects, open-source contributions, and university means deep-focus writing is a luxury I rarely have. I wanted to test a hypothesis: Can a developer leverage LLMs to fully automate content creation without losing technical depth? I launched my "Engineering in the Wild" & "System Design" series to find out.
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