Why Account Executives Are Winning 3 Deals Before Noon — Thanks to This AI Prompt
Turn Research into Revenue — Fast
Happy 4th of July! This is Ryan Staley of Whale Boss where I share the latest weekly insights, prompts, and workflows to unleash the power of AI! 🔥
Here’s what we got for you:
🤖 Every pipeline review needs this: AI that builds $50K-quality battlecards while you grab coffee.
🎧 Weekly Podcast Updates
🚀Perplexity Max: Perplexity’s most powerful subscription tier yet
❇️ X is piloting a program that lets AI chatbots generate Community Notes
😮 Mark Zuckerberg announces creation of Meta Superintelligence Labs.
🤖 Google launches Doppl, a new app that lets you visualize how an outfit might look on you
😎 The Path to Medical Superintelligence
🤖Every pipeline review needs this: AI that builds $50K-quality battlecards while you
grab coffee.

Watch AEs close 3 deals before lunch using AI competitor research that used to take consultants weeks.
🔹 Full PROMPT- use ChatGPT o3 or Gemini Pro 2.5 🔹
"Using Deep Research capabilities (e.g., web, G2, public filings), develop a comprehensive sales playbook for [INSERT COMPANY]. Include sections on their key product features, typical pricing tiers, common customer objections against them, their likely sales process, and our top 3 differentiators. Structure this as a concise battlecard for our Account Executives, focusing on exact verbiage and questions to ask when competing head-to-head. Prioritize insights that would typically cost $50,000 from a firm like PWC, Deloitte, BAIN, Mckinsey, etc., to help our team 'ship 5 to 10x faster"
🙌This week's podcast episodes...

😮 Gemini CLI: your open-source AI agent

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❇️X is piloting a program that lets AI chatbots generate Community Notes

Image: X, Getty Images
Social platform X (formerly Twitter) is piloting a new feature that lets AI chatbots contribute to Community Notes, the user-driven fact-checking system designed to add context to misleading posts.
🧠 How It Works
AI-generated notes—via X’s Grok or other tools connected through API—will go through the same vetting process as human-written ones.
Human raters still serve as the final filter to prevent hallucinations or inaccurate context from AI.
⚡Mark Zuckerberg announces creation of Meta Superintelligence Labs

Photo: manuel orbegozo/Reuters
Mark Zuckerberg announced the creation of Meta Superintelligence Labs, which will be run by some of his company’s most recent hires.
The new AI superintelligence project, led by execs including Scale AI ex-CEO Alexandr Wang and former GitHub CEO Nat Friedman, will house various teams working on foundation models.
Zuckerberg has been on an AI hiring blitz as he faces fierce competition from rivals such as OpenAI and Google.
💫Google launches Doppl, a new app that lets you visualize how an outfit might look on you

Image: Google
Google launches Doppl, a new experimental app that lets users upload a photo and virtually try on outfits using AI. Available on iOS and Android in the U.S., Doppl creates realistic images and videos of how clothes would look on your body.
👏 The Path to Medical Superintelligence

Screenshot grab from the Walkthrough of how MAI-DxO works through a case to reach a diagnosis
Microsoft’s AI team introduced MAI-DxO, a new diagnostic AI system that correctly solved 85% of complex NEJM cases, far outperforming experienced physicians (20% average). It works by sequentially analyzing patient data, mimicking a real clinical workflow.
MAI-DxO was more accurate and cost-efficient than doctors and leading AI models.
Benchmarked on real-world medical cases using the Sequential Diagnosis Benchmark (SD Bench).
Designed as an AI orchestrator, MAI-DxO combines multiple models for smarter, safer diagnoses.
Aims to support clinicians and empower patients, not replace them.
🔍 Still under research—MAI-DxO is not yet approved for clinical use.
Your competitors are already using AI.
Don't get left behind.
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