Start Small, Think Big - A podcast and newsletter that guides you on your AI and Automation journey.

AI can help you finish the work. It cannot take responsibility for whether the work is right.

Doug Gabbard, Principal Cloud Solution Architect at Microsoft and the creator behind Practicing Photography, joins Brad Groux and Robert Groux to talk about using AI where it actually helps: learning unfamiliar creative tools, finding buried knowledge, improving scripts, and turning experience into better requirements.

Doug shares how he uses screenshots to get help in Photoshop and Lightroom, builds agents around departmental SharePoint knowledge, and brings engineering discipline to his photography workflow. We also get into the limits: confident wrong answers, missing security requirements, the future of entry-level learning, and why people skills still matter.

The question to take back to your next project: What did I miss?

Takeaways

• Start with a real task you understand, not a tool you want an excuse to use.
• Give AI the relevant context: source material, desired outcome, constraints, and what failure looks like.
• A script that runs is not automatically secure, scalable, or ready for other people to use.
• Ask for criticism and missing requirements, then check the response against evidence.
• Use AI to repurpose your own ideas without handing over your point of view.
• Keep learning the fundamentals—and learn to explain them to people.

Resources discussed

• Microsoft
• Adobe Photoshop
• Adobe Lightroom
• ChatGPT
• Gemini
• Claude
• Microsoft Copilot
• SharePoint
• Backblaze
• Azure Blob Storage
• Synology
• n8n
• Supabase
• OpenClaw
• PowerShell
• Microsoft Sentinel
• Microsoft Agent Builder quick start (PDF)

Follow Doug

• Practicing Photography
• YouTube
• LinkedIn

Follow Start Small, Think Big

Find the podcast, newsletter, and our other channels: https://linktr.ee/digitalmeld

More episodes and articles: https://digitalmeld.io/podcast/

Recorded February 19, 2026. Product availability, pricing, and policies discussed reflect the conversation at that time. Doug shares his own experience; this is not an official Microsoft product announcement.

Recorded and edited using Riverside — https://go.sstb.ai/riverside (affiliate link).

Affiliate disclosure: Some links above are affiliate links. Digital Meld may earn a commission if you purchase through them, at no additional cost to you.

Follow the Start Small, Think Big newsletter:

https://www.linkedin.com/newsletters/7305986878653022210/

Sid Atkinson, co-founder and CEO of Applied Curiosity and co-host of The Data Culture Podcast, joins Brad Groux to explain why AI readiness starts with better questions, consistent data practices, and a clear business purpose—not another platform.

Brad and Sid discuss how lightweight governance helps smaller companies move quickly without taking unnecessary risks, why institutional knowledge needs context and effective dates, and how leaders can close the perception gap between what they think is happening and the ground truth inside the business.

They also explore the role of SOPs in agentic work, the danger of treating governance frameworks as the goal, how to balance repeatable processes with innovation, and why human accountability remains essential. Sid closes with a blunt rule for every leader: know the nouns that define your business—customers, markets, segments, channels, and products—before asking AI to reason across them.

KEY TAKEAWAYS

• Start with the business questions that matter, then identify the data and capabilities required to answer them.

• Small organizations need lightweight rigor, not enterprise bureaucracy.

• Capture the reasoning and context behind experienced employees’ decisions, not only the written steps.

• Tag or retire outdated knowledge so AI does not treat decades of documentation as one current truth.

• Use governance frameworks to identify useful capabilities; do not mistake the framework for the mission.

• Standardize proven work and reserve deliberate time and budget for larger experiments.

• Automate the discovery of commitments and follow-ups, while keeping human relationships human.

• Define the shared nouns of the business before attempting advanced analytics or AI.

RESOURCES DISCUSSED, IN EPISODE ORDER

Applied Curiosity — https://www.appliedcuriosity.ai/

The Data Culture Podcast — https://rss.com/podcasts/dataculture/

Veritas Kanban — https://github.com/BradGroux/veritas-kanban

Leaders Eat Last — https://simonsinek.com/books/leaders-eat-last

Start With Why — https://simonsinek.com/books/start-with-why

The Infinite Game — https://simonsinek.com/books/the-infinite-game

In Search of Excellence — https://tompeters.com/writing/books/

OpenClaw — https://openclaw.ai/

Like Clockwork — https://samgoodner.com/

Start Small, Think Big links — https://linktr.ee/digitalmeld

CRISP-DM — https://www.ibm.com/docs/en/spss-modeler/18.6.0?topic=guide-about-spss-modeler

DAMA-DMBOK — https://dama.org/learning-resources/dama-data-management-body-of-knowledge-dmbok/

CMMI Model — https://www.isaca.org/resources/reference-guide/cmmi-model-quick-reference-guide

BrainMeld.io — https://www.brainmeld.io/

Claude — https://www.anthropic.com/claude

Microsoft 365 Copilot — https://learn.microsoft.com/en-us/microsoft-365-copilot/microsoft-365-copilot-overview

PLAUD — https://www.plaud.ai/

Sid Atkinson on LinkedIn — https://www.linkedin.com/in/sidatkinson

TASSCC — https://www.tasscc.org/

Watch, listen, and find Digital Meld at https://linktr.ee/digitalmeld.

Digital Meld helps organizations build the capability to adapt by combining clear business standards, accountable AI, useful automation, and practical data systems.

Follow the SSTB Newsletter. Special thanks to Allen Martinez , and check out BXAIOS.

Summary

In this episode of the Start Small Think Big podcast, Brad Groux and Allen Martinez delve into the intricate relationship between AI, governance, and brand experience. They discuss the importance of coherence in AI systems, the necessity of establishing a solid governance framework, and the role of accountability and receipts in AI operations. The conversation also touches on the challenges of shadow IT, the significance of capturing corporate knowledge, and the evolving landscape of AI in business processes. Allen emphasizes the need for a holistic AI strategy that integrates governance, identity, and accountability to drive meaningful outcomes and compounding advantages for organizations.

Keywords

AI, governance, brand experience, accountability, coherence, business processes, knowledge capture, ROI, automation, shadow IT

Takeaways

• AI is not just about technology; it's about the operating model.
• Creativity plays a crucial role in AI implementation.
• Connecting data across systems is essential for effective AI.
• Governance defines what AI can and cannot do.
• Every AI workflow must have a defined trigger for human intervention.
• The corporate hippocampus helps capture and organize knowledge.
• Measuring hidden costs of AI outputs is vital for understanding ROI.
• Building a brand identity is crucial for AI success.
• A center of excellence can streamline AI governance.
• The future of work will involve leveraging AI for enhanced productivity.

Titles

• Unlocking AI: Governance and Brand Experience
• The Future of AI in Business: Strategies for Success

Sound Bites

• "You need to start connecting the data."
• "The future favors the bold."
• "Governance is your charter."

Chapters

00:00 Introduction to AI and Governance

02:25 The Journey of Allen Martinez

05:21 Understanding AI's Role in Business

08:18 The Importance of Data Integration

10:53 Governance, Identity, and Receipts in AI

13:59 Building a Holistic AI Framework

16:34 The Balance of Constraints in AI

19:26 Conclusion and Future of AI Governance

22:29 The Role of Governance in AI

25:13 Understanding Constraints in AI Deployment

27:27 Navigating Governance in Mid-Market Companies

29:22 Balancing Innovation and Risk Management

31:04 Building a Defensible Business Case for AI

32:35 Establishing a Center of Excellence

33:03 Setting Standards for AI Governance

36:11 The Importance of Corporate Memory

40:37 The Corporate Hippocampus and Brand Advantage

45:14 Building Authentic Connections in AI

45:53 The Importance of Execution Over Technology

46:39 The Rise of Small Innovators in AI

48:25 Measuring Hidden Costs in AI Implementation

49:34 The Future of SaaS in an AI-Driven World

52:44 Governance and AI Workflows

52:58 First Steps in AI Adoption

55:28 Revolutionizing Work with AI

56:47 The Need for Educational Reform

58:36 Encouraging Entrepreneurship in the AI Era

01:02:08 The End

https://linktr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

Follow the SSTB Newsletter. Special thanks to Matt Dorman, and check out NDEVR.

Summary

Building scalable digital systems doesn't require reinventing the wheel—it requires understanding what problem you're actually solving. In this episode, Brad Groux talks with Matt Dorman, co-founder of NDEVR, about the intersection of AI, automation, and business process optimization. They explore how mid-market companies can punch above their weight class by choosing the right tools, establishing process maturity before implementing automation, and navigating the gap between hype and delivery. From vibe coding as a proof-of-concept tool to governance frameworks that don't kill momentum, this conversation cuts through the noise with 30+ years of combined experience in building digital solutions that actually work.

The core insight: process maturity must come first. Without clear problem definition, strong SOPs, and alignment across audience experience (end users), operator experience (internal teams), and builder experience (development), even the best AI tools amplify existing chaos rather than solve problems. Learn why "replacing friction, not people" is the philosophy that scales, how to evaluate when custom solutions are justified versus SaaS platforms, and why the last 20% of implementation—the spit and polish—requires expert evaluation that no model can currently provide.

Keywords

AI automation, process maturity, product requirements document (PRD), SaaS vs custom solutions, vibe coding, LLM ROI, governance, workflow optimization, mid-market scaling, business transformation, catered solutions, three pillars of experience, digital services, e-commerce, NDEVR

Takeaways

• Process maturity first: Define workflows, establish SOPs, and document problem statements before implementing any tool or automation. Without this foundation, tools amplify chaos instead of solving it.
• Vibe coding is discovery, not deployment: Use AI-powered no-code platforms to rapidly iterate on proof-of-concepts and build stakeholder alignment. Production implementations always require expert refinement and evaluation.
• Watch workflows, don't just ask about them: Observe how people actually work to uncover hidden inefficiencies. Most workflow problems are already solved by existing tools—they just don't know it.

• The last 20% requires expert evaluation: Even production-ready AI outputs need human review.
• Instruct models to challenge you: Tell LLMs to question your assumptions rather than provide false affirmation.

Titles

• Process Maturity First: How to Scale Digital Systems Without the Hype
• Replacing Friction, Not People: Building Automation That Actually Works
• The Three Pillars of Experience: Balancing Audience, Operations, and Builders in Digital Transformation

Sound Bites

• "Process maturity needs to be true before AI and automation works."
• "The promises just keep coming and the delivery is meh. It's close."
• "Automation isn't always a technology solution. Sometimes it's just a workflow you didn't know existed."
• "Everything you do whenever you start is like, what is our goal? And what are the bells and whistles and systems and services that we need to include within that goal?"
• "The cost of maintenance outweighs the cost to build."

Chapters

00:00 Introduction

05:20 Remote-first business model and competitive advantage in tech hiring

08:15 Discovery process

12:30 SaaS vs. Custom vs. Open Source

16:45 Vibe Coding as Proof-of-Concept

20:30 Product Requirements Documents (PRDs)

24:00 The Three Pillars of Experience

28:15 AI ROI Reality Check

31:45 Research and Diagnostics

35:20 Model selection

38:30 Catered Solutions

41:15 Governance without friction

44:00 The human bottleneck

47:30 Closing thoughts

https://linktr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

Follow the SSTB Newsletter. Special thanks to Randy Gage.

Summary

In this episode of the Start Small Think Big podcast, host Brad Groux welcomes Randy Gage, an entrepreneur and author with a unique perspective on the intersection of AI and personal growth. Randy shares his remarkable journey from a troubled youth, including time spent in jail, to becoming a successful coach and advocate for entrepreneurs. He emphasizes the transformative power of AI, not just as a technological tool but as a catalyst for personal and professional growth. Randy discusses how he has integrated AI into his daily life and business practices, allowing him to focus on his 'genius zone' while automating repetitive tasks. He also highlights the importance of personal branding in a world where knowledge is increasingly commoditized by AI.

Keywords

AI, entrepreneurship, personal growth, Randy Gage, technology, personal branding, automation, business transformation, Start Small Think Big, Digital Meld

Takeaways

• AI is the most cataclysmic disruption of our lifetime.
• You need to embrace technology to operate in your genius zone.
• Personal branding is more important than corporate branding today.
• If you're not using AI, you're not serious about your business.
• Focus on solving problems to create business opportunities.

Titles

• Unlocking Potential: How AI Transforms Entrepreneurship From Jail to Success: Randy Gage's Journey with AI
• AI Will Make “What You Know” Worthless, So Build What You Think
• Stop Selling What You Know: AI Is Changing Every Business Model
• How a Non-Tech Entrepreneur Uses AI 100 Times a Day
• AI Agents Are Replacing 6 Hours of Work in 4 Seconds, Here’s How
• The Real AI Advantage: Personal Brand, IP, and Getting Out of the Matrix

Sound bites

• "This is going to be the most disruptive change of our lifetime."
• "In three years, people will pay you for what you think, not what you know."
• "Get off social media; it's a toxic cesspool."

Chapters

00:00 Introductions

01:03 Randy's Unique Journey and Perspective

02:53 The Revolutionary Impact of AI

04:56 Embracing AI in Entrepreneurship

07:33 Mindsets to Overcome in Adopting AI

11:58 The Importance of Personal Branding

18:31 Building a Personal Brand in the Digital Age

23:43 Becoming an Iconic Thought Leader

27:00 The Insurance Gap and Entrepreneurial Solutions

28:05 AI's Impact on Industries

29:15 Leveraging AI for Podcasting Efficiency

32:28 The Importance of Delegation and Genius Zones

37:54 Embracing AI and Automation in Daily Tasks

44:52 The Call to Action: Get Off Social Media

51:37 The End

https://linktr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

Follow the SSTB Newsletter.

Special thanks to  ⁨@michaelelliottai⁩.

Summary

In this episode, Brad Groux and Michael Elliott discuss the transformative power of AI and automation in business. Michael shares his personal journey from struggling with depression to becoming a successful entrepreneur managing multiple seven-figure businesses. They explore the importance of authenticity in content creation, the need for business leaders to embrace automation, and practical advice for non-technical teams looking to implement AI solutions. The conversation emphasizes the significance of focusing on impactful actions and leveraging technology to streamline processes and enhance productivity.

Keywords

digital marketing, AI, automation, entrepreneurship, business growth, content creation, personal development, overcoming struggles, business strategy, technology

Takeaways

• Michael Elliott's journey from personal struggles to business success is inspiring.
• AI and automation can significantly streamline business processes.
• Authenticity in content creation is crucial for building trust with audiences.
• Focusing on the 20% of actions that drive results is essential for success.
• Non-technical teams can still leverage AI tools effectively.
• Business leaders must embrace automation to stay competitive.
• The future of business will heavily rely on AI and automation.
• Starting small with automation can lead to significant improvements over time.
• Building a community and sharing knowledge is vital for growth.
• Entrepreneurship is more accessible than ever with the right mindset and tools.

Titles

• Transforming Struggles into Success: Michael Elliott's Journey Harnessing AI for Business Growth
• AI Isn’t Magic, It’s Leverage, How Operators Use Automation to Buy Back Time

Sound bites

• "Start small, think big."
• "Don't be scared of automation, lean into it."
• "AI is just leverage, not magic."

Chapters

00:00 Introduction to Digital Marketing Journey

02:42 The Evolution of AI in Business

05:46 The Importance of Automation

08:33 Building a YouTube Channel for Knowledge Sharing

11:17 Aha Moments in Automation

14:17 The Role of AI in Business Efficiency

17:16 Encouraging Business Leaders to Embrace AI

20:07 Overcoming Resistance to Automation

22:48 The Future of AI in Business

33:45 Embracing Automation for Entrepreneurship

37:10 Overcoming Barriers to Implementation

40:03 The Importance of Taking Action

42:32 Pitching AI Solutions Effectively

44:30 Leveraging AI for Personal Growth

45:12 Creating Valuable Content with AI

48:01 The Power of Belief and Action

50:13 Lessons Learned from the Journey

57:26 Focusing on What Matters

https://linktr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

Follow the SSTB Newsletter.

Special thanks to John Ohlwiler - and visit sentrytechsolutions.com.

Keywords

AI, automation, mid-market businesses, technology consulting, healthcare technology, business processes, digital transformation, localized LLMs, RPA, technology maturity

Summary

In this episode of the Start Small Think Big podcast, Brad and Robert from Digital Meld engage with John Ohlwiler from Sentry Technology Solutions to discuss the transformative potential of AI and automation for mid-market businesses. They explore the importance of structured processes, the challenges smaller companies face in adopting AI, and the need for practical, incremental solutions rather than grandiose projects. The conversation also touches on the role of leadership in technology implementation, the significance of understanding business goals, and the potential of localized AI models. Throughout the discussion, they emphasize the importance of collaboration and communication between executives and frontline employees to ensure successful technology adoption.

Takeaways

• Empowering mid-market businesses is crucial for AI adoption.
• SOPs and processes are foundational for successful technology integration.
• Smaller companies often struggle with visualizing AI implementation.
• Incremental changes yield better results than grandiose projects.
• Understanding the business context is essential for technology decisions.
• Localized AI models can revolutionize operations in mid-market companies.
• Leadership should not operate in silos when making technology decisions.
• AI is a tool, not a silver bullet for business problems.- Control over data leads to better AI outcomes.
• Continuous improvement is key to successful technology integration.

Titles

• Unlocking AI Potential for Mid-Market Businesses
• Navigating AI Adoption Challenges in Smaller Companies

Sound bites

• "SOPs and processes are king."
• "Find small wins to build momentum."
• "Don't make decisions in a silo."

Chapters

00:00 Introduction to Digital Meld and Century Technology Solutions

01:06 Understanding Technology Maturity Models

03:00 Client Base and Industry Insights

04:20 Navigating AI in Mid-Market Companies

07:10 The Importance of SOPs and Processes

08:42 Consultants and Change Management Challenges

10:49 The Role of AI in Healthcare

15:37 Practical AI Solutions for Small Medical Practices

18:37 Challenges in Medical AI Implementation

20:50 AI Use Cases in Telemetry and Automation

24:29 Localized LLMs and Edge Computing

29:16 Privacy and Data Management in AI

31:47 Navigating LLMs: Self-Hosting vs. Public Models

32:40 The Rise of Internal LLMs in Corporations

34:53 Leveraging Localized AI Models for Efficiency

37:36 Implementing Minimal Viable AI Solutions

40:13 The Importance of Incremental Changes in AI Projects

43:47 Empowering Teams: The Role of Leadership in AI Adoption

47:15 Finding the Right Balance: Vision vs. Execution

50:49 Aligning Technology with Business Goals

53:45 The Future of AI Tools in Business

https://linktr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

Follow the SSTB Newsletter.

Special thanks to Craig Kaplan, Ph.D. - and visit superintelligence.com.

Summary

In this episode, Brad and Robert engage with Craig A. Kaplan, a seasoned expert in AI, discussing the evolution of artificial intelligence from its inception to its current state and future implications. They explore the importance of human oversight, the concept of AGI and superintelligence, and the role of collective intelligence in enhancing AI systems. The conversation emphasizes the need for ethical considerations in AI design and the practical steps businesses can take to implement AI solutions effectively. Craig shares insights on the open versus closed model debate and encourages individuals to contribute positively to the AI training process.

Keywords

AI, superintelligence, AGI, machine learning, ethics, safety, collective intelligence, business applications, open source, AI agents

Titles

• Navigating the AI Landscape: Past, Present, and Future
• The Evolution of AI: From Narrow to Superintelligence

Takeaways

• AI has evolved through distinct phases since its inception in 1956.
• The current AI landscape is marked by rapid advancements and potential lulls.
• Human oversight is crucial in the development of AI systems.
• AGI represents a significant leap towards machines that can perform any cognitive task.
• Collective intelligence can enhance the safety and effectiveness of AI systems.
• Ethical considerations must guide AI design to prevent harmful outcomes.
• Businesses should focus on integrating AI to improve efficiency and productivity.
• Open source models promote collaboration and innovation in AI development.
• Practical implementation of AI requires understanding specific business needs.
• Individuals can influence AI training by promoting positive online behavior

Sound bites

• "AI has evolved through distinct phases since its inception."
• "Human oversight is crucial in the development of AI systems."
• "AI is moving towards the role of an actor like a worker."

Chapters

00:00 – Welcome & Introductions

02:14 – The AI Trajectory: 3 Phases of Evolution

05:02 – AI Winters, Surges, and the Current Lull

10:38 – From Tools to Workers: The Age of Agents

14:57 – Designing for Safety in a Fast-Paced World

18:58 – Understanding AGI, Superintelligence & Agent Collectives

25:57 – Big vs. Small: Who Wins the Agent Adoption Race?

28:59 – Democracy as a Blueprint for AI Architecture

36:01 – Building Better Agents: Lessons from Startups and Team Training

38:22 – Power Users to Builders: What’s Next After ChatGPT

42:20 – Blueprinting Safer Systems with Superintelligence.com

50:23 – 2026 Priorities: Where Executives Should Focus Now

54:43 – The Future of Open Models

56:36 – Required Reading: Tree of Thoughts, Eric Schmidt & Stuart Russell

57:14 – Final Message: Be Your Best Self Online

58:59 – The End

https://linktr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

Follow the SSTB Newsletter. Special thanks to Arnold Castro and the Aggie Innovators.

Summary

In this episode of the Start Small Think Big podcast, Brad Groux discusses the Aggie Innovators event at Texas A&M, which aims to foster innovation and collaboration among students interested in AI and entrepreneurship. The event features student ambassadors who share their projects and experiences, emphasizing the importance of applying AI in various fields, networking with industry professionals, and gaining real-world experience. The conversation highlights the role of mentorship and collaboration in driving innovation and encourages students to take risks and pursue their passions in their entrepreneurial journeys. In this conversation, Brad Groux discusses the myths surrounding AI, its impact on jobs, and the importance of human oversight in AI applications. He emphasizes that AI is not a magic solution but a tool for enhancing productivity and decision-making. The discussion covers the components of AI, the rise of agentic AI, and its implications for various industries, including education and business. Brad also highlights the need for individuals to adapt to AI technologies and the geopolitical aspects of AI investment.

Keywords

AI, innovation, startups, Texas A&M, Aggie Innovators, entrepreneurship, business solutions, collaboration, technology, education, AI, automation, job transformation, generative AI, agentic AI, business efficiency, education, human oversight, job market, technology

Takeaways

• The Aggie Innovators event aims to foster innovation and collaboration among students.
• AI can be applied across various fields, not just technology.
• Real-world experience is crucial for students to succeed in their careers.
• Networking with industry professionals can lead to internship opportunities.
• The importance of mentorship in guiding students through their entrepreneurial journeys.
• Students are encouraged to take risks and pursue their passions in innovation.
• Collaboration among different disciplines can lead to innovative solutions.
• The role of AI in transforming business practices is significant.
• Students should focus on solving real-world problems through their projects.
• Feedback from students is essential for improving the Aggie Innovators program.
• AI is not a magic wand; it requires human oversight.
• Automation can free up time for more meaningful work.
• AI's real power lies in its ability to integrate data.
• Generative AI is transforming how we approach tasks.
• Agentic AI represents the future of automation.
• AI can enhance decision-making processes in businesses.
• The job market will evolve with AI, creating new opportunities.
• Education must adapt to incorporate AI technologies.
• AI's impact on jobs will require upskilling and adaptation.
• Geopolitical factors will influence AI development and investment.

Titles

• Empowering Innovation at Texas A&M The Future of AI in Business

Sound bites

• "AI isn't here to replace jobs."
• "AI will get everything right."
• "AI is going to impact jobs."

Chapters

00:00 Introduction to AI Nexus and Ambassadors

04:07 The Role of AI in Business and Collaboration

07:07 Launching AI Solutions and Real-World Impact

07:49 Mentorship and Resources for AI Startups

11:30 Collaborative Innovation Programs

14:08 Incubating Entrepreneurial Ideas

17:15 Real-World Problem Solving with AI

19:53 Access to Cutting-Edge AI Resources

20:46 Understanding AI and Its Applications

25:06 The AI Revolution and Its Impact

27:58 The Future of AI and Human Collaboration

31:33 Exploring Agentic AI

35:00 The Role of AI in Education

38:39 AI's Impact on Job Markets

42:52 Navigating New Technologies

48:04 Business Insights and Automation

51:04 Leveraging AI for Business Efficiency

53:17 AI Applications in Industry

56:49 The End

https://linktr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

Follow the SSTB Newsletter.

Thank you to Lucas Blondheim.

Summary

In this conversation, Lucas Blondheim discusses the limitations of AI tools in generating user interfaces, emphasizing the need for a human touch in the design process. He highlights that while AI can get a project 80% complete, the final 20% requires human creativity and refinement to avoid producing subpar work, often referred to as 'AI slop.'

Keywords

AI tools, user interfaces, design, human touch, refinement, coding tools, creativity, AI slop

Takeaways

• AI tools and coding tools often produce similar user interfaces.
• The uniqueness in design comes from human creativity.
• AI can assist but cannot fully replace human input.
• The last 20% of a project is crucial for quality.
• Many users pass off incomplete work as finished.
• Refinement is essential to avoid 'AI slop.'
• Human touch adds value to AI-generated designs.
• Design should not rely solely on automated tools.
• Creativity is key in the final stages of design.
• AI tools should be seen as aids, not replacements.

Titles

• The Role of AI in Modern Design Human Touch vs. AI Tools in Creativity

Sound bites

• "AI tools are generating user interfaces."
• "You need that extra 20% to craft and refine it."
• "People are not addressing that last 20%."

Chapters

00:00 Intro and Meet Lucas

04:25 From Capitol Hill to Code

09:02 What is Results.io?

15:34 The Power of Execution Frameworks

19:10 Why Execution Beats Strategy (Most Days)

24:45 How LLMs and Agent Workflows Are Changing SaaS

30:12 Real-World Use Cases

37:00 The Challenges of Adoption and Change Management

41:28 AI for the Underdogs

45:45 Building a Company in the Age of AI

52:12 Final Thoughts and Where to Learn More

https://linktr.ee/digitalmeld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.