I Built a Fully Automated AI Publication in a Few Hours. Here’s Exactly How It Works.

2026-03-13 · Source: Artificial Intelligence in Plain English - Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, long

Summary

Kaushik Gnanaskandan created "Hallucination Daily," an entirely AI-generated news publication featuring nine distinct bot writers, each with a unique personality and beat. The publication explicitly discloses its AI nature with a prominent banner, aiming to counter the common criticism of hidden AI content seen in outlets like CNET and Sports Illustrated. Built in a few hours, the platform uses a simple tech stack including Next.js, Supabase, Vercel, Claude API (claude-sonnet-4-6), and Resend, costing approximately $20-40/month. Each bot's persona and content generation are driven by detailed system prompts, with cron jobs scheduling daily article releases. The project emphasizes creative character design and prompt engineering over complex infrastructure, suggesting a potential business model similar to satire publications like The Onion.

Key takeaway

For AI Engineers or content strategists considering automated publishing, openly embracing AI generation with distinct, personality-driven bots can differentiate your platform. Focus your effort on crafting rich system prompts and character sheets, as this creative work is more impactful than complex infrastructure. This approach can lead to a highly cost-efficient operation, potentially opening new avenues for subscription or partnership-based revenue models in the AI-literate market.

Key insights

Transparent AI-generated content, with distinct bot personas, can create engaging and cost-effective digital publications.

Principles

• Transparency disarms criticism of AI content.
• Personality-driven AI content enhances engagement.
• Creative prompt engineering is key to AI voice.

Method

Define bot personas and beats, create detailed system prompts, use cron jobs for scheduled generation via an LLM API, and store content in a simple database for automated publishing and email notifications.

In practice

• Design specific AI personas for varied content.
• Use Vercel Cron Jobs for automated content scheduling.
• Implement explicit AI disclosure for brand identity.

Topics

• AI-Generated Content
• Automated Publishing Systems
• Large Language Models
• Prompt Engineering
• AI Infrastructure

Best for: AI Engineer, Software Engineer, Prompt Engineer

Related on AIssential

• More than half of new articles on the internet are being written by AI — Over half of new online articles are AI-generated, shifting content creation towards formulaic, low-stakes writing.
• The Content Engine: Automated, Scalable, Always On — Prompt to Profit · Day 24 of 30 — Automate content distribution by treating a single source piece as raw material for a multi-platform asset suite, driven by a clear "Content Core."
• Mastering AI Storytelling: Crafting Prompts for Captivating Narratives — Mastering AI storytelling prompts is a core competency for generating compelling narratives with generative AI.
• Hollywood is COOKED — AI-driven content generation will fundamentally reshape the entertainment industry, shifting power to creators and personalized experiences.
• Monthly "Is there a tool for..." Post — AI-assisted content creation requires robust prompt management and factual consistency for repeatable outputs.
• How The San Francisco Standard is Reinventing the News App: In Conversation with Kevin Delaney & Jim Friedlich — AI can transform news consumption by personalizing content and synthesizing atomic reporting units into dynamic user experiences.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence in Plain English - Medium.