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A demo shows Jev listening to a speaker and checking off bullet points from a list as they are covered. This provides live feedback to ensure all key topics are addressed, acting as a real-time monitor for structured communication tasks like interviews, sales pitches, or presentations.
Leverage tools like ChatGPT or Copilot as a practice audience. Feed the AI your story, define the target audience (e.g., executives, engineers), and ask for feedback on clarity, conciseness, and impact. This provides a quick, objective way to refine your message and build a powerful story.
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.
By using a meeting co-pilot consistently, you can capture every conversation and create a personal data asset. This eliminates the cognitive tax of remembering past details, allowing you to be fully present and make high-velocity decisions in the moment.
Zapier built an AI coach that analyzes meeting transcripts to provide feedback based on company values and frameworks. This automates cultural reinforcement, normalizes constructive criticism, and ensures leaders consistently model desired behaviors, scaling what is typically a manual process.
Gemini 3 can analyze hour-long videos, providing detailed, actionable feedback on performance. This moves AI from a content summarizer to a sophisticated coach for presenters, podcasters, and sales professionals, identifying nuanced issues like alienating audio-only audiences.
In a to-do list demo, Jev processes continuous speech without pauses. It sequentially classifies when an action can be taken, matches the speech to an existing item, and then identifies the correct function to call (e.g., complete, remove). This creates a seamless, real-time user experience.
AI can analyze raw interview transcripts to extract key JTBD components like the customer's timeline and the 'pushes and pulls' driving their decision. This accelerates analysis and can also provide feedback to the interviewer on their technique, identifying missed opportunities for deeper probing.
Beyond transcription, advanced AI tools can analyze an interviewer's live performance. They offer feedback on tonality, vocabulary, use of open vs. closed questions, and even body language, turning the AI into a powerful tool for improving human soft skills and communication.
Modern AI tools with voice mode offer a novel way to practice presentations. Instruct the AI to act as your target audience (e.g., a skeptical board member), then deliver your pitch. The AI will respond in character, allowing you to practice handling questions and refining your message in a low-stakes environment.
For years, sales managers struggled to 'watch' reps interact with customers at scale, hindering coaching. AI-powered tools now provide this visibility into real conversations, removing the single biggest bottleneck in the traditional tell-show-watch-feedback coaching model.