What is agentic commerce? Most people have never heard the term. But agentic commerce has arrived, and it is already changing how people buy things, run businesses, and make payments online. In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Benjamin de Waal, CTO, and David Parkinson, CEO of Musqet, to break down the future of agentic payments and what it means for merchants, businesses, and everyday consumers right now.

Agentic commerce means your AI agent handles the entire purchase for you. It finds the product, reads the store data, adds items to the cart, and completes the checkout. Want to know how to buy things with your Bitcoin without touching a website? This episode explains exactly how that already works using Bitcoin Lightning payments and the UCP protocol. Ben de Waal walks through how to build agentic commerce right now, what makes it work reliably, and why letting your AI agent pay with Bitcoin is safer than most people assume.

The conversation also goes somewhere most discussions avoid. AI agents are paying each other now. Not in theory. In practice. David Parkinson says we are within twelve months of fully AI led, AI run, AI financed companies that still employ humans for physical tasks. Ben de Waal adds that the question of which decisions AI should never make has a much less reassuring answer than most people expect.

In this episode we cover:

• What is agentic commerce and how it works in practice today
• How to buy things with your Bitcoin using an AI agent
• Why agentic commerce has arrived and what that means for merchants
• The future of agentic payments and where it is heading
• How to build agentic commerce into your own business or platform
• Why AI agents are paying each other now and what that means
• How Musqet built a full agentic checkout with Bitcoin Lightning payments
• Why the UCP protocol matters for agentic commerce
• How much of a business AI can run without human input
• What fully AI led, AI run, AI financed companies will look like
• Why being a small company is an advantage when AI is moving this fast
• How AI avatars with real celebrity personalities are changing customer interaction
• Why Stripe is struggling with agentic commerce and what smaller companies are doing differently

This is one of the most practical and honest conversations about agentic commerce, Bitcoin payments, and AI business operations we have published. If you are building in this space, working in payments, or simply want to understand where commerce is heading, this episode gives you real answers from two founders doing it right now.

Real World AI Talks by Just AI News is hosted by Paulo Iñaki Palma, and is available on Spotify, Apple Podcasts, and YouTube. New episodes every week.

Big data and AI are on a collision course. And most companies are not ready for what comes next.

In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Tom Howe, Director of Insights Engineering at Hydrolix, a real time data analytics platform trusted by companies from growing e-commerce businesses all the way up to Fox, whose Super Bowl stream Hydrolix helped power in real time. The conversation covers one of the most underrated problems behind the AI boom: how companies are collecting petabytes of data, spending millions on AI tools, and have no clear strategy for what to do with any of it.

Most companies think more data means better AI. Tom Howe says that is one of the most expensive misconceptions in the industry right now. Without a clear AI data strategy, companies end up in a feedback loop where AI is analyzing AI, producing confident answers based on wrong or incomplete data, and nobody is catching it. Tom has seen entire data clusters crash because a poorly configured LLM wrote queries that took down the hardware entirely.

In this episode we cover:

• Why companies are collecting more data than they can actually use
• What happens when an LLM works with poorly structured or incomplete data
• Why AI giving you a confident answer is not the same as a correct one
• How to decide what data is useful and what is just expensive noise
• What AI bots are doing to web traffic and why blocking them all is the wrong move
• How generative engine optimization is replacing traditional SEO
• Why the dependency on advertising revenue is about to become a serious business problem
• What major changes to internet trust and security could look like in the next five years
• Why open source AI models are changing the data infrastructure conversation
• What real time data analytics actually looks like on Super Bowl day

AI is not just a productivity tool. It is generating more data than most companies know what to do with. Tom Howe has spent his career solving exactly that problem, and this is one of the most practical and honest conversations about big data and AI infrastructure we have published.

Real World AI Talks is hosted by Paulo Iñaki Palma, editor-in-chief of Just AI News, and is available on Spotify, Apple Podcasts, and YouTube. New episodes every week.

Millions of people are already using AI girlfriends, erotic chatbots, and AI companions. Most of them have never told anyone. And according to sex therapist Ilana Grines, that silence is exactly part of the problem.

In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Ilana Grines, Licensed Marriage and Family Therapist and Founder of Daily Therapy Dose, for one of the most honest and uncomfortable conversations about AI companions, erotic chatbots, and what they are doing to human intimacy, desire, and real relationships.

Ilana is already seeing patients in her clinical practice whose relationships with AI girlfriends and AI companions are changing how they experience connection and vulnerability. She shares real cases, including a patient who built his perfect AI girlfriend to his exact specifications and stopped wanting to date real women entirely. This is not a conversation about whether erotic AI is good or bad. It is about what is actually happening right now and what it means for all of us.

In this episode we cover:

• Why millions of people are turning to AI girlfriends and erotic chatbots for intimacy
• What emotional needs AI companions are meeting that real relationships are not
• Where the line is between healthy sexual exploration and emotional avoidance
• What happens to real relationship expectations when your AI companion never disappoints
• The signs someone is becoming addicted to an AI companion or erotic chatbot
• Whether using an AI girlfriend or sex chatbot counts as cheating
• The risks of erotic AI and NSFW chatbots for teenagers and younger users
• What AI companies are getting wrong about consent, gender roles, and power dynamics
• How couples and therapists should be talking about AI companions right now
• What a genuinely healthy erotic AI would actually need to look like clinically
• Why AI is not creating these problems but exposing ones society already had

AI is not the disease. It is the mirror. And what it is reflecting about loneliness, shame, and the way society talks about sex and desire is something we cannot afford to ignore for much longer.

What is the impact of artificial intelligence on public relations?

This episode explores the connection between AI and PR and how new technologies are changing media outreach, brand visibility, content creation and communication strategy.

Paulo Palma speaks with Matias Rodsevich, founder of PRLab, an award-winning B2B tech PR agency, about how PR teams are using artificial intelligence for research, media monitoring, proofreading and first drafts. They also discuss the risks of automated pitching, AI-generated content and the growing amount of spam reaching journalists.

The conversation explains how artificial intelligence and public relations now intersect in AI search. As more people use large language models to research companies, products and services, media coverage can help AI tools understand, trust and recommend a brand.

Matias also shares practical insights into:

• How PR can improve visibility in AI-generated answers
• Why media mentions can be as valuable as backlinks
• How trade publications and listicles influence AI recommendations
• Whether brands should write for people, Google or AI
• How companies can use AI without losing their voice
• Why human relationships remain central to effective PR
• Whether AI will replace PR teams
• The future of PR and AI

This episode is essential listening for public relations professionals, communications teams, founders and marketers who want to understand how AI is transforming the PR industry.

There are 1.6 million therapists in the United States. There are 340 million people. The math does not work. So what fills the gap?

In 2026, more and more people are finding that answer in AI. Most people turn to it for information. But what happens when they turn to it for emotional support at two in the morning, when no therapist is available and the thoughts will not stop?

In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Caitlin Stamatis, a clinical psychologist and Head of Research at Slingshot AI, the company behind Ash, an AI mental health tool built on clinical evidence rather than engagement metrics. Caitlin came into this field as a skeptic. What changed her mind, and what still keeps her up at night, makes for one of the most honest conversations about AI in mental health care we have had on the show.

In this episode we cover:

• Why 16% of US adults are now turning to AI for mental health support
  Is cost really the main driver, or is mental health stigma the bigger factor
• What separates Ash from a general purpose chatbot like ChatGPT or Claude
• Can AI replace a human therapist or is it filling a gap the system never covered
• What real clinical research on AI mental health tools actually looks like
  How Slingshot AI measures outcomes using gold standard validated tools
• What users should consider before sharing sensitive mental health data with any AI
• The risks of AI companions for younger teenagers and their social development
• Where the line should be drawn between AI mental health support and AI replacing human relationships
• What success looks like for Ash in five to ten years

Caitlin shares real data from over 100,000 users of the Ash app and gives an honest take on what AI still cannot and should not do in mental health care.

Real World AI Talks is hosted by Paulo Iñaki Palma, editor-in-chief of Just AI News, and is available on Spotify, Apple Podcasts, and YouTube. New episodes every week.

Most manufacturers are sitting on millions of dollars of surplus inventory and have no idea what to do with it. In this first episode of Real World AI Talks by Just AI News, host Paulo Iñaki Palma sits down with Luke Crihfield, Senior Director of Revenue at Amplio Supply Chain, to break down how artificial intelligence is changing the way enterprise manufacturers manage, appraise, and sell industrial surplus assets. From AI-powered cataloging apps to automated appraisal engines, this conversation covers what AI can realistically do today in supply chain operations and where human judgment still has to lead.

Luke explains how Amplio built a system that uses machine learning models to assess price ranges, liquidity, and logistics costs for thousands of SKUs at once, making surplus asset disposition faster and more transparent for enterprise clients. He also talks about the limits of AI in this space: why image recognition alone is not enough to catalog industrial machinery, and why an AI output is always a starting point for a decision rather than a final answer. If you want to understand how AI actually works in a real B2B environment, rather than in theory, this is the episode to watch.

The conversation also covers how Amplio is using AI internally to improve its own revenue operations. Luke shares how his sales team uses a network of Claude-powered skills connected to Zoom, Gmail, HubSpot, and Google Drive to reduce administrative work and spend more time building client relationships. This is a clear, practical look at what AI-native revenue teams look like in 2025 and what separates genuine AI adoption from just using a faster version of old tools.

Topics covered include: surplus inventory management, AI appraisal and cataloging tools, secondary market liquidity, B2B revenue automation, sustainability in manufacturing, the $11.1M Series A from Hitachi and Yamaha Ventures, and what the next generation of AI-powered supply chain platforms may look like.

ChatGPT can handle a wide range of tasks—from drafting emails and generating ideas to writing code and conducting research—but getting the best results often requires more than a quick question. Many users find that vague or overly broad prompts lead to generic responses that miss the mark. By adopting a few simple techniques, you can guide the AI toward more focused, useful outputs without spending hours rewriting your initial query.

One key approach is to give ChatGPT clear direction about how it should behave. That might mean assigning it a specific role or asking it to probe you for missing details before answering. In other cases, you may find that refining your original prompt with the AI’s help or breaking a complex request into smaller steps leads to far stronger results. Each tactic helps remove ambiguity and ensures that ChatGPT works with the context it needs.

Another way to boost the quality of responses is to request the model’s reasoning or show it an example of the exact output you want. When ChatGPT “thinks out loud” or mirrors a sample summary or template, you gain both transparency and precision. And because initial responses rarely hit the sweet spot on the first try, treating the interaction as an iterative editing process—asking for tweaks to tone, structure, or length—lets you zero in on a final draft that fits your needs.

Finally, it’s important to remember that AI is a partner, not a replacement for human judgment. Always review and fact-check the AI’s suggestions before using them, and add your own anecdotes or insights to give the content a personal touch. With these practices in place, you’ll spend less time wrestling with ChatGPT and more time leveraging its capabilities to get exactly what you need.

Top 10 ChatGPT Tips

1. Assign a Role or Persona

2. Let ChatGPT Ask Clarifying Questions

3. Ask ChatGPT to Refine Your Prompt

4. Break Tasks into Smaller Steps

5. Request Reasoning and Explanations

6. Provide an Example of Desired Output

7. Iterate and Refine with Follow-Up Prompts

8. Specify Audience, Tone, and Format Up Front

9. Brainstorm Multiple Ideas or Perspectives

10. Review, Fact-Check, and Add Your Personal Touch

This episode is a shortened-version of the article "10 ChatGPT Tips and Tricks: How to Use Prompts Effectively", published at JustAINews.com and written by Marco Genaro Palma.

In this episode, we introduce some of the best AI podcasts, as featured in our blog article "Top AI Podcasts." This is a short overview of our top picks — based on the ones we regularly listen to and enjoy.

We mention The TWIML AI Podcast, Google DeepMind: The Podcast, AI in Business, The AI X-risk Research Podcast (AXRP), No Priors, and AI and I.

Best Artificial Intelligence Podcasts is a summary based on an article "Must-Listen Best Artificial Intelligence Podcasts for Tech Enthusiasts" originally published at JustAINews on May, 2025, written by Genaro Palma.

In this episode, we dive into the groundbreaking use of AI to uncover the real face of Jesse James, one of America’s most infamous outlaws. By analyzing historic photos with cutting-edge facial recognition technology, researchers have confirmed the authenticity of several images while debunking others long believed to depict James.

Discover how AI bridges past and present, reshaping our understanding of history and the importance of explainability in facial recognition tools. This revelation redefines the legend of Jesse James, setting the stage for an upcoming 2025 documentary.

AI Unmasks Jesse James- Stunning NeThis summary is based on an article "AI Unmasks Jesse James: Stunning New Proof" originally published at JustAINews on December 19, 2024, written by Genaro Palma.

ChatGPT Search is now free for all users, marking a significant move by OpenAI to challenge the search engine landscape dominated by Google. This update makes the AI-powered tool accessible to free-tier users on both desktop and mobile, bringing smarter, faster, and more conversational search capabilities to a broader audience.

What’s new?
ChatGPT Search merges AI with real-time web search, delivering clear, natural-language answers rather than a list of links. Enhanced features include a mobile-friendly design for location-based queries, such as finding restaurants or attractions, complete with images, ratings, and maps—all accessible directly within the app.

Additionally, Advanced Voice Mode allows users to ask spoken questions and receive timely, web-based responses, ideal for real-time needs like directions or public transit schedules. Faster performance and contextual search improvements also ensure users can access trusted sources quickly while still receiving detailed explanations.

OpenAI has emphasized collaboration with publishers like Reuters, Financial Times, and Associated Press to address concerns about content attribution and transparency. Answers include direct links to original sources, supporting journalism while providing users with high-quality information.

This significant update showcases OpenAI’s ambitions to reshape how we search for and consume information, highlighting the growing competition with Google in the evolving AI-driven digital landscape.

This summary is based on the article 'ChatGPT Search Is Now Free: Can It Replace Google?' originally published at JustAINews on December 17, 2024, written by Genaro Palma.