A novel AI use case from the creative industry: actors can feed a character's traits into an LLM's context window. They then query the model to explore how the character might react in various situations, providing a tool for deeper performance preparation and script development.

Generative AI can predict how customers will emotionally react to policy changes or marketing messages. Running communications through AI first can prevent the kind of backlash Carnival Cruises experienced by identifying tone-deaf language.

An AI model can meet all technical criteria (correctness, relevance) yet produce outputs that are tonally inappropriate or off-brand. Ex-Alexa PM Polly Allen shared how a factually correct answer about COVID was insensitive, proving product leaders must inject human judgment into AI evaluation.

Abigail Wattley prepared for her podcast interview by feeding an LLM past episodes and asking it to simulate a practice session. The AI correctly identified the host's conversational style and love for anecdotes, effectively acting as a presentation coach and demonstrating a practical use for the technology.

A UK startup has found that LLMs can generate accurate, simulated focus group discussions. By creating diverse digital personas, the AI reproduces the nuanced and often surprising feedback that typically requires expensive and slow in-person research, especially in politics.

Journalist Casey Newton uses AI tools not to write his columns, but to fact-check them after they're written. He finds that feeding his completed text into an LLM is a surprisingly effective way to catch factual errors, a significant improvement in model capability over the past year.

By providing context about a person's psychological state (e.g., Borderline Personality Disorder), an LLM can reframe toxic or aggressive messages. It translates the surface-level hostility into the underlying insecurity driving it, enabling a more empathetic and productive response.

Just as spellcheck leveled the playing field for dyslexic individuals in writing, modern AI tools can help neurodivergent professionals with the nuances of communication and influence. They can assist in crafting messages, anticipating reactions, and translating complex thoughts into clear, impactful language.

To avoid generic AI-generated text, use the LLM as a critic rather than a writer. By providing a detailed style guide that you co-created with the AI, its feedback on your drafts becomes highly specific and aligned with your personal goals, audience, and tone.