To maintain quality, 6AM City's AI newsletters don't generate content from scratch. Instead, they use "extractive generative" AI to summarize information from existing, verified sources. This minimizes the risk of AI "hallucinations" and factual errors, which are common when AI is asked to expand upon a topic or create net-new content.

The risk of unverified information from generative AI is compelling news organizations to establish formal ethics policies. These new rules often forbid publishing AI-created content unless the story is about AI itself, mandate disclosure of its use, and reinforce rigorous human oversight and fact-checking.

The New York Times is so consistent in labeling AI-assisted content that users trust that any unlabeled content is human-generated. This strategy demonstrates how the "presence of disclosure makes the absence of disclosure comforting," creating a powerful implicit signal of trustworthiness across an entire platform.

Instead of using generalist AI, LookAtMedia built a "media vertical AI model" trained on over a million journalists' writing. This focused approach yields higher quality, more authentic content with a near-zero hallucination rate (less than 0.01%), which is crucial for maintaining credibility with the media.

Axios is developing proprietary AI tools tailored to specific journalistic tasks. This includes an "Axiomizer" that copy-edits text based on their unique "Smart Brevity" style guide and a tool to automate the tedious process of writing and tracking Freedom of Information Act (FOIA) requests.

Instead of prompting an AI to generate a full article, which often results in 'slop,' a better approach is to use it as an assembly tool. Feed the AI granular, pre-vetted pieces of unique business intelligence (like sales data or expert insights) to construct a higher-quality output.

To avoid the errors of other AI-driven publications, Axios enforces a strict policy that no AI-generated content is published without human review. This principle allows them to leverage AI for scale while ensuring a local reporter with market knowledge vets everything before it reaches the audience.

To improve your content's standing with AI models, don't just use AI to write. Research what sources tools like Perplexity and ChatGPT cite on a topic. Then, incorporate and reference those same sources in your article. This signals value and helps your content become a preferred source for AI.

Unlike consumer chatbots, AlphaSense's AI is designed for verification in high-stakes environments. The UI makes it easy to see the source documents for every claim in a generated summary. This focus on traceable citations is crucial for building the user confidence required for multi-billion dollar decisions.