In this conversation, Dave Prior and Hugo Bowne-Anderson discuss the evolving landscape of AI and data science, focusing on the role of AI agents in solving business problems. Hugo shares insights on how to effectively implement AI solutions, the importance of understanding the underlying data, and the need for continuous improvement in AI systems. They also touch on the skills necessary for navigating the AI landscape, the value of collaboration between technical and non-technical teams, and the importance of assessing the value of AI projects. Hugo concludes by offering a course on building AI applications, emphasizing the iterative nature of AI development.

Takeaways

 - Hugo emphasizes the importance of data in AI applications.
 - AI agents can automate tasks but require human oversight.
 - Understanding the problem is crucial before implementing AI solutions.
 - Prompt engineering remains a valuable skill alongside learning about agents.
 - Consultants should educate clients on practical AI applications.
 - AI systems should be built incrementally and iteratively.
 - Value assessment in AI projects should focus on efficiency and cost savings.
 - Continuous improvement is essential for AI systems to remain effective.
 - Experimentation with AI tools can lead to innovative solutions.
 - Collaboration between technical and non-technical teams is vital for successful AI implementation.

Chapters

00:00 Introduction to Data and AI Literacy
06:14 Understanding AI Agents vs. LLMs
09:18 The Role of Agents in Business Solutions
12:21 Navigating the Future of AI and Agents
15:24 Consulting and Client Education in AI
18:37 Building Incremental AI Solutions
21:29 The Future of AI Coding and Debugging
24:32 Prototyping with AI: Challenges and Solutions
25:32 Leveraging AI for User Insights and Competitive Analysis
27:29 Understanding Value in AI Development
32:05 The Role of Product Managers in AI Integration
33:00 AI as an Instrument: The Human Element
35:33 Getting Started with AI: Practical Steps for Teams
38:51 Building AI Applications: Course Overview and Insights

Links from the Podcast:

Stop Building AI Agents - Here’s what you should build instead (Article) https://www.decodingai.com/p/stop-building-ai-agents
Anthropic https://www.anthropic.com/engineering/multi-agent-research-system
The Colgate Study https://www.pymc-labs.com/blog-posts/AI-based-Customer-Research

Hugo’s Course (Starts November 3, 2025)
Building AI Applications for Data Scientists and Software Engineers (with a 25% discount)
https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=drunkenpm
(You can use the discount code drunkenpm to get 25% off)

How To Be A Podcast Guest with Jay Hrcsko https://youtu.be/vkNbgwcolIM

Contacting Hugo
LinkedIn https://www.linkedin.com/in/hugo-bowne-anderson-045939a5/
Substack https://hugobowne.substack.com/

Contacting Dave
Linktree: https://linktr.ee/mrsungo
Dave’s Classes: https://www.eventbrite.com/cc/dave-prior-classes-4758623

Navigating AI - Making Sense of Agents and When To Use Them with Hugo Bowne-Anderson

Are you ready for AI that can see, hear, and feel? Join Shailendra Kumar in this episode of AI with Shaily as we explore the groundbreaking 'Multimodal AI Blueprint' and its potential to revolutionize technology. Discover how this innovative approach integrates diverse data for smarter AI applications. Don't miss your chance to engage—hit like, follow, and share your thoughts in the comments! 🚀🤖✨

Unlocking the Future: How Multimodal AI is Changing Everything

In Episode 3 of the Intentional AI series, Cole and Virgil move into the next stage of the content lifecycle: content creation.

AI can write faster than ever, but that doesn’t mean it writes well. From prompting and editing to maintaining voice and originality, AI-generated content still requires human effort and judgment. In this episode, the team explores where AI can help streamline production and where it can’t replace the creative process.

In this episode, they explore:
	• How AI fits into the content creation stage of the lifecycle
	• Why AI-generated content often takes just as much time as writing from scratch
	• The key risks of AI content creation, including accuracy, effort, and authenticity
	• How to maintain your voice, tone, and originality when using AI tools
	• Why humans are still responsible for quality control and credibility
	• What happens when you test the same research prompt across three writing tools

This episode also continues the real-world experiment from Episode 2. Using the research compiled with Perplexity, the team tests how three content-generation tools—Jenni AI, Perplexity Pro, and Writesonic—handle the same writing task. The results reveal just how differently each model performs when asked to create original, publishable content.

A downloadable Episode Companion Guide is available below. It includes key takeaways, tool comparisons, and practical advice for using AI in the content creation stage.

https://links.discussingstupid.com/s3e3companion

Upcoming episodes in the Intentional AI series:
	• Nov 11, 2025 — Content Management
	• Dec 2, 2025 — Accessibility
	• Dec 16, 2025 — SEO / AEO / GEO
	• Jan 6, 2026 — Content Personalization
	• Jan 20, 2026 — Front End Development & Wireframing
	• Feb 3, 2026 — Design & Media
	• Feb 17, 2026 — Back End Development
	• Mar 3, 2026 — Conversational Search (with special guest!)
	• Mar 17, 2026 — Chatbots & Agentic AI
	• Mar 31, 2026 — Series Finale & Tool Review
	
Whether you’re a marketer, strategist, or developer, this conversation is about creating content intentionally and keeping your human voice at the center of it all.

New episodes every other Tuesday.

For more conversations about AI, digital strategy, and all the ways we get it wrong (and how to get it right), visit www.discussingstupid.com and subscribe on your favorite podcast platform.

Chapters
(0:00) - Intro
(0:30) - Smarter content creation with AI
(1:00) - Effort doesn't go away
(3:20) - Tool / LLM differences
(5:34) - Audience fit & voice
(7:44) - We tested 3 tools for AI content creation
(10:08) - Testing Jenni AI
(13:23) - Testing Perplexity
(14:55) - Testing Writesonic
(16:55) - Key Takeaways


Subscribe for Email Updates on Our Website:
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S3E3 - Intentional AI: Smarter content creation with AI

Middle East AI News Minute brought to you by Carrington Malin - Marketing for an AI First world. In this podcast: Cisco and G42 partner on UAE’s largest AMD AI cluster; Supermicro certifies AIREV’s OnDemand sovereign AI platform; PIF and Aramco unite AI assets under HUMAIN

Sign-up for the weekly email news digest here:
https://www.middleeastainews.com

#MiddleEastAINews

Cisco, G42 partner on UAE’s largest AMD AI cluster

Welcome to 'AI with Shaily'! Today, we explore how artificial intelligence is evolving beyond our oversight, spotlighting DeepMind's AlphaEvolve and the emergence of autonomous learning. Discover how AI outperforms human-designed algorithms in creativity and mathematical reasoning. Join Shailendra Kumar as we delve into the implications of AI's newfound independence. 🎙️✨ Stay updated on AI trends by following us, and drop your thoughts in the comments! 🗨️🤖

AI's Groundbreaking Leap: Can Machines Create Independently?

Middle East AI News Minute brought to you by Carrington Malin - Marketing for an AI First world. In this podcast: Aramco to merge AI operations with HUMAIN; Analog and Boston Dynamics launch UAE robotics push; UAE AI Office unveils leadership guide with OpenAI

Sign-up for the weekly email news digest here:
https://www.middleeastainews.com

#MiddleEastAINews

Aramco to merge AI operations with HUMAIN

Middle East AI News Minute brought to you by Carrington Malin - Marketing for an AI First world. In this podcast: Cisco and KAUST launch new AI Institute in Saudi Arabia; CBIx to drive fintech and AI innovation in UAE banking; and Oman hosts second AI Hackathon for tech startups

Sign-up for the weekly email news digest here:
https://www.middleeastainews.com

#MiddleEastAINews

Cisco and KAUST launch new AI Institute in Saudi Arabia

What if AI could truly think like us? Join Shailendra Kumar in AI with Shaily as he navigates the intriguing debate of strong vs. weak AI, sparked by the latest ChatGPT-5. Discover how Google's Project Mind blurs ethical lines and why Searle's philosophy is suddenly trending. Gain insights on AI's creativity and the importance of transparency! 🎙️💡🤖 Don't miss out; like, comment, and follow for more updates on the fascinating world of AI!

Is This the Dawn of Strong AI? Exploring Consciousness and Illusions

Nearly two months after calling on the Office of Management and Budget to bar use of xAI’s Grok chatbot in government, a coalition of advocacy groups is pressing its case further after the General Services Administration struck a deal with Elon Musk’s AI company to deploy Grok across the federal government. In a letter sent Wednesday to OMB Director Russell Vought, the advocacy groups reiterated their concerns in the wake of the GSA OneGov deal, along with recent comments from Michael Kratsios, the director of the White House Office of Science and Technology Policy. “OMB is entrusted with ensuring that AI systems procured by the federal government meet the highest standards of truth-seeking, accuracy and neutrality,” the letter, led by Public Citizen, stated. “Grok has repeatedly demonstrated failures in these areas and Director Kratsios himself has confirmed that such behavior is the precise type that Executive Order 14319 was designed to prevent.” The letter refers to an executive order signed by President Donald Trump in July that seeks to prevent “woke AI,” or ideological biases in models that are used by the federal government. The groups argued in their August letter to Vought that the use of Grok contradicts this order, given its past controversies with spewing antisemitic and pro-Hitler content. Weeks after the letter was sent, GSA inked a deal with xAI to offer Grok models to the government for a nominal cost. Under the deal, federal agencies can buy Grok 4 and Grok 4 Fast for 42 cents until March 2027.

The White House appears to be moving forward with plans to redesign federal government websites, registering a new government domain — techforce.gov — this week. The new URL, which was first discovered Thursday by a bot tracking new government domains, leads to a sign-in page that states “National Design Studio” and “Tech Force” at the top. It includes a form for users to submit their email and receive a code to access the website. Records maintained by the Cybersecurity and Infrastructure Security Agency show the domain was registered Oct. 24 and last changed Wednesday. The domain registration comes more than two months after President Donald Trump signed an executive order launching an “America by Design” initiative focused on both digital and physical spaces. A new National Design Studio and chief design officer will lead the initiative and coordinate agency actions.

The Daily Scoop Podcast is available every Monday-Friday afternoon.

If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

The fight over Grok in government rages on

A podcast discussing Özgür Narin's paper. 
Artificial intelligence (AI) methods are becoming increasingly widespread today. The achievements 
of AI over the past decade is closely linked to advances in data availability, processing power, and 
scientific research. In this sense, AI relies on digitalization and is built upon its development and 
infrastructural foundation. This article first distinguishes between the digital and digitalization, 
offering a periodization of the latter. Second, it examines the relationship between digitalization and 
the relations of production, exploring its contradictions and limitations. AI methods appear as the 
most advanced form of fixed capital today, carrying all the contradictions of capitalist production. 
Until the 1970s, monopolies that controlled communication, network, and information-processing 
systems served as tools of vertical centralization. However, since the 1990s, under the pressure to 
become more flexible in response to capitalist crises, capital has increasingly required flexible 
production and communication tools—advanced forms of fixed capital—that could organize 
vertically centralized yet operationally decentralized subsidiaries, subcontractors, and fragmented 
production cycles. AI and digitalization emerge precisely as such instruments of production. In this 
regard, they reflect the vertically centralized but downward-flexible structure and needs of 
contemporary corporations. Yet, these tools of production are also constrained and shaped by the 
contradictions of the relations of production. Finally, the article discusses key emerging tensions 
that will shape the coming decade, including the parameterization of society, data localization, and 
manipulation.

Digitalization Artificial Intelligence and Society Podcast

The Middle East AI News Minute gives you a daily one-minute daily briefing on the top AI-related stories coming out of the Middle East. If you are a busy technology, business or government leader who want to get a quick update, then this is the podcast for you.

A podcast covering the latest news & trends facing top government leaders on topics such as technology, management & workforce. Hosted by Billy Mitchell on FedScoop and released Monday-Friday.

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

A podcast about Agile and Project Management

Discussing Stupid returns to the airwaves to transform digital facepalms into teachable moments—all in the time it takes to enjoy your coffee break! Sponsored by High Monkey, this podcast dives into ‘stupid’ practices across websites and Microsoft collaboration tools, among other digital realms. 

Our "byte-sized" bi-weekly episodes are packed with expert insights and a healthy dose of humor. Discussions focus on five key areas: Business Process & Collaboration, UX/IA, Inclusive Design, Content & Search, and Performance & SEO. 

Join us and let’s start making the digital world a bit less stupid, one episode at a time.

New tracks tagged #Artificial Intelligence