Tag Archives: ChatGPT

Ai

Podcast with Dan Sanchez on AI Marketing, AI Slop and the future of AI Agents

🚀 Just had an incredible conversation with Dan Sanchez—a marketer, podcaster, and AI power-user who’s pushing the boundaries of what’s possible with AI in content and marketing.

We started off light—turns out Dan released a full music album on Spotify using AI tools like Suno and ChatGPT, despite not being a musician. That led us into a much deeper discussion about how AI is transforming the way marketers work—especially for those who want to 10x their output without 10x-ing their headcount.

Dan broke down AI in marketing into five distinct use cases:

  1. AI as Co-Pilot – think planning, thinking, troubleshooting, organizing. From writing emails to managing your health goals, AI can be your smartest executive assistant.
  2. AI for Content Creation – yes, blogs and posts, but also infographics, videos, and even music.
  3. Hyper-Personalization – dynamic experiences tailored to individual customers at scale.
  4. Conversational AI – inbound chat, SMS, even phone. It’s replacing SDRs for good reason.
  5. Analytics & Forecasting – still early, but fast-evolving and game-changing.

We talked at length about AI as a co-pilot, not a magic button. The insight? AI is like having 10 subject-matter experts at your side—branding, copywriting, strategy, fitness, relationships—but you have to orchestrate them. Knowing how to prompt well is still useful, but Dan argues we’re evolving from “prompt engineering” to “clear thinking and communication.” And honestly, he’s right.

A few big takeaways for marketers:

  • Prompting matters less than it used to. You don’t need to be a “prompt wizard”—you just need to be specific and intentional.
  • Context is everything. Use AI tools that let you organize projects and retain context over time (like ChatGPT folders or custom GPTs).
  • Video podcasts are a content goldmine. Use AI to repurpose long-form audio/video into high-impact LinkedIn posts, clips, blogs, and newsletters. Start with real insight, let AI scale it.
  • Avoid “AI slop.” If your content feels like warmed-over blog stew, it probably is. Start with original thought and let AI help with structure, formatting, and tone.

We even dove into the difference between using AI for brainstorming versus automation. Automation (like API workflows) still demands engineered prompts—because consistency matters. But when you’re thinking, learning, or creating? AI thrives in messiness, as long as you guide it.

Dan summed it up best: “AI doesn’t replace marketers. It replaces the marketers who don’t use AI well.”

This episode is for every marketing leader, agency founder, or solo creator trying to scale smarter, not harder. If you’re still on the sidelines with AI, this is your wake-up call.

#MarketingAI #GTM #AIinMarketing #Podcast #ContentMarketing #LLMs #ChatGPT #AIworkflow #B2BMarketing

Artificial Intelligence

AI is already reducing the number of software developers needed

1 Comment

I have a network of about a thousand entrepreneurs, founders, and small business owners who read my blog posts daily of the 114K subscribers to this blog. I get a chance to ask them questions and poll them once a month or sometimes more often.

Over the last few months as part of a project, I have been polling them frequently and asking them about AI and the impact at work. Most of these are software entrepreneurs (a smaller number are eCommerce founders).

The poll I conducted yesterday was:

“Are you reducing the number of people you hire because of ChatGPT, generative AI and other LLM – Large Language Models”?

– generated many emails and a few phone conversations.

One particular example was telling which a friend related to me yesterday.

The company has 10 people, 8 of them are developers. The CEO of the company provided subscriptions to ChatGPT ($20 / month) and GitHub Copilot ($19 / month) to all the developers and mentioned that he won’t hire for another year and instead the developers could use the AI tools to do their job.

  1. The CEO is happy since he hired one fewer person
  2. The employees were happy since they are getting a chance to use new tools (AI prompt engineering looks good on the resume now).
  3. The HR person is happy since they don’t have to hire and train, onboard, and recruit a new person

All around goodness.

AI is already starting to reduce the number of jobs. It is just doing it a little slowly.

Software entrepreneur prompt NightCafe AI generated
Artificial Intelligence, Learning, Research

AgentGPT, BabyGPT and AutoGPT – what is the difference?

These are semi-autonomous “agents”, which can be given high level goals – “make a website for selling books online”. These agents can figure out the high level tasks, such as front-end HTML site development, payment integration, backend database, etc. and execute each of the tasks and subtasks.

They are all the same (at a high level), using recursive mechanisms to help GPT create prompts for GPT (so meta). Which means the tasks GPT outputs, now become prompts for the next task – in an automated way.

AgentGPT

AgentGPT is a platform that allows you to configure and deploy autonomous AI agents. You can name your own custom AI and have it embark on any goal imaginable. It will attempt to reach the goal by thinking of tasks to do, executing them, and learning from the results.

AgentGPT is on GitHub

AgentGPT is currently in beta, but it has the potential to be a powerful tool for a variety of tasks, such as:

  • Customer service: AgentGPT can be used to answer customer questions, provide support, and resolve issues.
  • Sales and marketing: AgentGPT can be used to generate leads, qualify prospects, and close deals.
  • Content creation: AgentGPT can be used to write articles, blog posts, and other content.
  • Research and development: AgentGPT can be used to explore new ideas, generate hypotheses, and conduct experiments.
  • Education: AgentGPT can be used to create personalized learning experiences, provide feedback, and answer student questions.

AgentGPT is still under development, but it has the potential to revolutionize the way we interact with computers. By allowing us to create autonomous AI agents, AgentGPT gives us the power to automate tasks, solve problems, and explore new possibilities.

Here are some of the features of AgentGPT:

  • Customizable: You can create your own custom AI agents with different skills and capabilities.
  • Autonomous: AgentGPT agents can think for themselves and learn from their experiences.
  • Extensible: AgentGPT agents can be extended with new capabilities using plugins and scripts.
  • Scalable: AgentGPT agents can be scaled to handle large volumes of data and requests.

AutoGPT

AutoGPT is an open-source application that uses OpenAI’s GPT-4 language model to perform autonomous tasks. It was created by Toran Bruce Richards, a game developer and AI researcher.

AutoGPT on GitHub

AutoGPT can be used to automate a wide variety of tasks, including:

  • Web scraping
  • Data analysis
  • Natural language processing
  • Image recognition
  • Code generation

AutoGPT is still under development, but it has the potential to be a powerful tool for a variety of applications. For example, it could be used to automate tasks in customer service, sales, marketing, research, and development.

Here are some of the features of AutoGPT:

  • Autonomous: AutoGPT can think for itself and learn from its experiences.
  • Extensible: AutoGPT can be extended with new capabilities using plugins and scripts.
  • Scalable: AutoGPT can be scaled to handle large volumes of data and requests.

BabyAGI

BabyAGI (or BASI) is an autonomous and self-improving agent, built on top of OpenAI’s GPT-3.5 or GPT-4 language model. It is a Python script that takes an objective and a task as input and attempts to complete the task. It can also create new tasks and re-prioritize the task list based on the objective and the results of previous tasks.

Baby AGI

BabyAGI is still in development, but it has the potential to be a powerful tool for automating tasks and solving problems. It is also a good example of how LLMs can be used to create autonomous agents.

Here are some of the things that BabyAGI can do:

  • It can solve simple math problems.
  • It can translate languages.
  • It can write different kinds of creative content.
  • It can answer your questions in an informative way.
  • It can generate different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc.
  • It can follow your instructions and complete your requests thoughtfully.
  • It can use its knowledge to answer your questions in a comprehensive and informative way, even if they are open ended, challenging, or strange.

BabyAGI is still under development, but it has the potential to be a powerful tool for automating tasks and solving problems. It is also a good example of how LLMs can be used to create autonomous agents.

investing

What is a vector database? As explained by ChatGPT and Google bard $GOOGL

Presented without commentary first is my screenshot.

Bard does not want to help
ChatGPT knows the answer

I am now really curious why Google Bard won’t answer the question. It obviously knows the answer. Or Google search does know something.

What I think happened is that over a series of questions, which Google got consistently wrong I responded with a series of thumbs down responses.

That resulted in “high accuracy” mode of operation. So, now I mostly get “no response”.

Entrepreneurship, Tips

How to be a good writer- Amazon style

When I worked at Amazon, most of my days were spent writing or reading narrative style documents. Most everyone has heard of the 6 page narrative that Amazon prefers over PowerPoint presentation. I read many newsletters but most do not measure up to the quality and usefulness of an Amazon document.

Most newsletters writers are not story tellers and that’s what causes me to unsubscribe quickly.

While there are a lot of resources on how to write like an Amazon person, I have yet to see a good writeup on the difference between plots (fiction) and structures (non-fiction) style writing.

Fictional stories have plot

Fiction stories have plots. They are formulaic. Here are some examples.

  1. The Three-Act Structure: This is one of the most common plot structures, which involves dividing the story into three main parts – the setup, the confrontation, and the resolution. The first act sets up the story and introduces the main characters and their conflicts. The second act is the confrontation, where the characters face challenges and obstacles, leading to a climax. The third act is the resolution, where the conflicts are resolved, and the story ends.
  2. The Hero’s Journey: This plot structure was popularized by Joseph Campbell’s book “The Hero with a Thousand Faces.” It involves a hero going on a journey or adventure, facing challenges, and transforming as a result. This structure typically includes various stages, including the call to adventure, crossing the threshold, facing trials and tribulations, and returning home transformed.
  3. In Medias Res: This plot structure starts in the middle of the action, with the story unfolding through a series of flashbacks or other narrative devices. This structure can be a bit more complex than other structures but can be effective in creating suspense and intrigue.
  4. Episodic: This structure involves a series of related, but somewhat self-contained episodes or stories. This is often seen in TV shows or anthologies, where each episode has its own arc but contributes to a larger overall story.
  5. Linear: A linear plot structure is a straightforward chronological telling of events from beginning to end, with a clear cause-and-effect relationship between each event.
Non fiction stories have structures

Non fiction stories have structures. They are also formulaic. Here are some examples.

  1. Chronological: This structure presents events or ideas in the order in which they occurred, from beginning to end. It’s a popular choice for biographies, historical books, and memoirs.
  2. Cause and effect: This structure explores the relationship between two or more events or ideas, showing how one leads to the other. It’s often used in books on science, politics, and social issues.
  3. Problem and solution: This structure presents a problem or challenge and then offers a solution or a way to address it. It’s a common structure for books on self-help, business, and leadership.
  4. Compare and contrast: This structure explores similarities and differences between two or more topics or ideas. It’s often used in books on history, culture, and politics.
  5. Listicle or guidebook: This structure presents a series of tips, steps, or pieces of advice on a particular topic. It’s commonly used in books on self-help, cooking, travel, and other practical subjects.

As a newsletter writer, your goal is to get people to read, not just subscribe. I would highly recommend you pick a style that suits you and follow that structure consistently.

Open rates are mostly meaningless except for advertisers. Hang time (time spent reading) is a more useful metric of how useful your content is.