Grammarly has rebranded its corporate entity to Superhuman to reflect its broader mission. It reframes its core technology as an "assist" platform that proactively embeds AI into users' workflows, contrasting with "chat" interfaces (like ChatGPT) and "do" agents. Its new 'Go' product opens this platform to any AI agent, not just writing assistants.

To make ghostwritten content sound authentic, train a custom ChatGPT on an executive's past writing, such as emails or Slack messages. This helps capture their unique voice and tone, making drafts significantly closer to their natural style.

In the age of AI, the new standard for value is the "GPT Test." If a person's public statements, writing, or ideas could have been generated by a large language model, they will fail to stand out. This places an immense premium on true originality, deep insight, and an authentic voice—the very things AI struggles to replicate.

The distinction between AI-assisted and purely human-created content is becoming impossible to draw. Rather than verifying origin, the focus will shift to holding the publisher accountable for the final product's quality and accuracy, regardless of the tools used in its creation.

The CEO of Superhuman argues that the threshold for acceptable AI use in writing is situational. AI detection tools should be used not to enforce a universal ban, but to assess if the level of AI generation aligns with the context and the audience's expectations, much like calculator use varies by exam.

Pangram Labs' detector isn't hard-coded. It's a deep learning model trained on millions of examples. For each human text (e.g., a Yelp review), it sees an AI-generated equivalent, learning the subtle, often inarticulable, differences in word choice and structure that separate them.

To distinguish between light AI assistance (like Grammarly) and heavy generation, advanced detectors analyze the "cosine difference"—the distance in a multidimensional space between the original human text and the AI-edited version. This quantifies the degree of AI influence.

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.

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.