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A Guide to Policy-Making for GPTBot & Web Scraping by Generative LLMs

Submitted by jordan on Sun, 06/28/2026 - 17:00

In 2023, the question was simple enough to answer in a hallway conversation: "Should we block GPTBot?" You added one line to robots.txt, felt vaguely responsible, and moved on.

That question is now obsolete — not because the answer changed, but because the question was wrong. There is no single bot. There is no single decision. And the line in robots.txt you added two years ago is almost certainly costing you visibility in the exact channel that is replacing the search traffic you used to depend on.

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The Future of SaaS in the Age of AI Agents — What Survives, What Doesn't

Submitted by jordan on Wed, 04/08/2026 - 17:00

Every major platform vendor is racing to add AI features to their SaaS products. Copilots in your CRM. AI assistants in your project management tool. Chatbots bolted onto your help desk. They're polishing the deck chairs.

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How to NOT Have Your Data Trained on by AI Across Leading LLMs

Submitted by peter on Thu, 11/27/2025 - 08:00

Large Language Models (LLMs) have become indispensable tools for businesses, but a key concern persists: How do you ensure your private or proprietary data isn’t used to train these models? This guide covers the most notable LLMs, their policies, and actionable steps to safeguard your data. Links to turn off data training for each tool are provided for easy access.