ChatGPT for Entrepreneurs: Build a Team in 20 Minutes with AI!

I discovered a secret that most are unaware of - After working on building multiple Sales organizations from scratch, helping dozens of fast-growing startups, and in using ChatGPT.

Happy Friday! This is Ryan Staley of Whale Boss where I share weekly insights to unleash the AI power! 🔥

Here’s what we got for you:

  • 🤖 ChatGPT for Entrepreneurs: Build a Team in 20 Minutes with AI!

  • 🛠️ Prompt SLAM!

  • 🎧 Weekly Podcast Updates 

  • 😮 3 AI chatbots predict the winner of the 2024 Super Bowl

  • 🤖 You Can Now Create AI-generated Images for Free in Google Bard

  • 😎 OpenAI joins Meta in labeling AI generated images

  • 🙌 Roblox releases real-time AI chat translator

  • AI Dog Personality Algorithm Could Find Your Perfect Canine Companion

After working on building multiple Sales organizations from scratch, helping dozens of fast-growing startups, and in using ChatGPT I discovered a secret that most are unaware of.

I call it "The 20-Minute Sales Org."

You will be able to:

  1. Create a department from scratch

  2. Scale your sales team machine rapidly and efficiently.

  3. Design a simple and effective management operating system.

  4. Attract top talent that will skyrocket your revenue.

  5. Crush your competition by embracing cutting-edge AI technology at an insane budget.

  6. This will make building a high-performing sales department faster, simpler, and more profitable than ever.

And ChatGPT can give you a shortcut to achieving this in just 20 minutes.

But here's the catch:

Don't just ask how to create a department.


  1. Identify the ideal sales DNA for your industry/vertical.

  2. Understand what motivates top sales performers NOW.

  3. Utilize AI to automate repetitive tasks and free up time.

  4. Empower your sales team with personalized, data-driven insights.

Imagine completing 8 hours of work in just 20 minutes with the help of ChatGPT😉

🛠️Unleash Your AI Power: Prompts SLAM!


Customer, product, and industry research

Summarize the top three critiques in customer reviews for {your product or service}.


Discover how your business can benefit from the latest trends

Identify five current trends in the [industry] and how a new business could capitalize on them.


Social selling

Write a friendly and engaging {social media platform} comment in response to a message that says {copy of recent social media post}, subtly introducing {your product or service} and offering a unique value proposition.


Craft a compelling email that announces a new product to your customer

Craft an email to announce a new product or service to existing customers.

🙌This week's podcast episodes...

Image created: DALL-E

Three leading AI chatbots were used to predict the winner of the 2024 Super Bowl. According to the analysis, all three AI systems—ChatGPT, Google Bard with Gemini Pro, and Claude from Anthropic—predicted that the Kansas City Chiefs would win the game.

The predictions were based on a comprehensive set of data including regular season records, point differentials, injuries, and more, to forecast the outcome of the Super Bowl with detailed final scores and MVP nominations suggested by each AI​.

If you're curious about the specifics of Morrison's training methods for the AI, you're welcome to delve into his comprehensive report. The prospect of AI-generated Super Bowl predictions mirroring actual outcomes is fascinating. While these forecasts rely on extensive data analysis, it's crucial to remember that data alone doesn't capture the full narrative—especially in scenarios deeply influenced by human actions and the ever-evolving nature of gameplay.

Those using the free version of Google Bard, Google's AI chatbot competitor to ChatGPT, will now be able to make use of one more ChatGPT-like feature: AI image generation.

Image created: DALL-E

This feature, powered by Gemini Pro and Google's Imagen 2 model, aims to provide photorealistic outputs, although the quality may vary.

Users can easily start creating images by visiting the Bard website and typing commands like "create an image" or "generate an image," followed by their specific request.

The process may require some trial and error to perfect the prompt, but Google Bard offers several style options for each prompt to streamline the creation process. Additionally, all images produced will include a digital watermark, SynthID, to indicate they are AI-generated, distinguishing them from human-created content.

Image created: DALL-E

  • OpenAI's New Metadata Tagging: OpenAI announced updates to ChatGPT and DALL-E 3 to include metadata tagging for AI-generated images, allowing identification of such images across the web.

  • Meta's Similar Initiative: Hours before OpenAI, Meta introduced a similar measure for its AI image generator, Imagine, to label AI images on Instagram, Facebook, and Threads.

  • C2PA Specifications: OpenAI's images will now include metadata using C2PA specifications to indicate AI generation, applicable across social platforms and content distributors.

  • Immediate Web Implementation: The change is effective immediately for web users and will extend to mobile users by February 12. Pre-existing images will not have this metadata.

  • Content Credentials Website: OpenAI provided a link to verify if images are AI-generated, highlighting the utility of the new metadata code.

  • Coalition for Content Provenance and Authenticity (C2PA): A coalition founded in February 2021 aimed at developing standards for certifying the source of media content to combat disinformation and content fraud.

  • Challenges with Metadata: Despite its utility, metadata like C2PA can be easily removed, making it an imperfect solution for proving content provenance.

  • Differences Between OpenAI and Meta's Approaches: OpenAI focuses on embedding metadata within the code of AI images, which is not immediately visible, while Meta plans to implement a public-facing label with a sparkles emoji for AI-generated images.

OpenAI and Meta's efforts to label AI-generated images using metadata and public-facing labels, respectively, mark significant steps towards enhancing transparency and accountability in the use of AI technologies. The introduction of C2PA standards by OpenAI, backed by major tech and media firms, underscores the industry's commitment to addressing the challenges of disinformation and online content fraud. However, the effectiveness of these measures may be limited by the ease with which metadata can be removed and the current practices of social media platforms that strip metadata from uploaded images. This situation highlights the need for a multi-faceted approach that combines technological solutions, platform policy changes, and user education to effectively mitigate the risks associated with AI-generated content.iring careful scrutiny to balance innovation with safety and realistic expectations.

Players will be chatting with Spanish speakers without needing to learn Spanish.

Roblox automatic translation in action. Image: Roblox

Roblox built an AI model that it says translates text chats so quickly users may not even notice it’s translating the messages of other players at first. It works with 16 languages, including English, French, Japanese, Thai, Polish, and Vietnamese.

Roblox monitors chats (it does so for trust and safety reasons) and can get feedback if translations are not exactly perfect. He added that the addition of the chat translation AI “changes nothing in our privacy and safety process, and banned words will still get blocked.”

Experts in canine behavior have developed an AI algorithm to assess working dogs' personalities, aiming to improve training and placement outcomes.

Image created: DALL-E

Collaboration between Academia and Dogvatar: The project is a collaboration between academia and the canine technology startup Dogvatar, utilizing data from the C-BARQ survey to predict dog personality types for better dog-human matchmaking.

Canine Personality Thumbprint: The algorithm creates a canine personality thumbprint, analogous to the Myers-Briggs test for humans, to aid in evaluating potential working dogs for roles in law enforcement and assistance for individuals with disabilities.

Research Collaboration and Findings: Research by the University of East London and the University of Pennsylvania for Dogvatar, published in Scientific Reports on January 29, 2024, uses nearly 8,000 C-BARQ responses to train the AI.

C-BARQ Survey and AI Adjustment: The C-BARQ survey, a 100-question standard for evaluating working dogs, is enhanced by the AI's ability to adjust for subjective responses, according to co-Principal Investigator James Serpell.

Five Personality Types Identified: The AI algorithm clusters C-BARQ responses into five personality types: excitable/attached, anxious/fearful, aloof/predatory, reactive/assertive, and calm/agreeable, based on behavioral attributes with assigned "feature importance" values.

Future Research and Potential: Dogvatar and its researchers aim to explore further applications of the dog personality testing algorithm to improve the efficiency of working dog training and reduce the return rate of companion dogs to shelters.

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