OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips

This episode is for entrepreneurs, small businesses, solopreneurs, creators, and consultants who feel overwhelmed by AI and don't know where to start.

You'll learn how a completely non-technical founder used Generative AI to transform two businesses, pivot her career, and build AI-driven systems without writing a single line of code.

In this episode of Open Tech Talks, host Kashif Manzoor speaks with UK-based entrepreneur Marnie Wills, whose journey with Generative AI began unexpectedly while franchising her children's PE business. A copywriting challenge introduced her to Jasper AI, and that single moment reshaped everything.

Within two years, she used AI tools to fix messaging issues, transform her franchise model, exit her online fitness business, and finally launch her consulting practice.

Marnie breaks down how she built her AI-first operating system using ChatGPT, Claude, Perplexity, Abacus AI, and NotebookLM. She explains why customizing your AI, training it on domain knowledge, and owning your data matters for the coming wave of agentic AI.

She shares a powerful real example: building a full CRM + GPT workflow for a keynote speaker in 90 minutes using no-code tools. The system identifies events, drafts applications, and enables a VA to manage the entire pipeline, an example of how AI amplifies human roles rather than replacing them.

The conversation also explores ethics, the myth of privacy, overwhelm in SMEs, and the misconception that AI = automation. Her philosophy is simple:

AI should amplify humans first. Automation comes last.

By the end, you'll understand why courses are no longer the main path, how "10,000 hours" has become "10,000 prompts," and why your next breakthrough may come simply from talking to an AI daily.

Episode # 174

Chapters

00:00 Introduction to Marni Wills and Her Journey 02:49 The Impact of Generative AI on Business 06:03 Practical AI Implementation Strategies 08:51 Creating Custom AI Models and Data Ownership 11:56 Vibe Coding: No-Code Solutions for Entrepreneurs 14:38 Learning and Adapting in the AI Landscape 17:30 Ethics and Intellectual Property in AI 20:36 Common Challenges for Small Businesses 23:34 Future Skills in an AI-Driven World

She is a multi-passionate entrepreneur and international athlete, dedicated to revolutionizing the integration of AI into everyday life and business.

• LinkedIn: MarnieWills

What Listeners Will Learn:

• How a non-tech founder transformed two businesses using Jasper AI, ChatGPT, Perplexity, and agentic tools
• Why the AI-first mindset matters more than tools, coding, or technical background
• How to build your personal AI operating system using 5–6 core tools daily
• Why custom instructions, private models, and a "second brain" dramatically improve AI output
• Real examples of vibe coding and building no-code platforms with Lovable, Replit, and GoMocka
• How to reimagine your workday using AI as your Chief Operating Officer
• Why most people are "lazy AI users" and exactly how to avoid that trap
• Why automations should come last and why amplifying humans comes first
• The biggest challenge SMBs face (overwhelm) and the simplest way to begin
• The future of AI agents and agent-friendly websites

• MarnieWills

Building Career Resilience in the Age of Generative AI

Every week, we explore how AI and technology are changing the way we work and learn. This episode dives into the question I get asked the most, How is Generative AI changing every career? Let's unpack why it matters, how it's shifting roles and skills, and what you can do to lead this change instead of chasing it

In this solo episode of Open Tech Talks, host Kashif Manzoor, AI Engineer and Strategiest, and author of AI Tech Circle, dives deep into one of the biggest career questions of our time:

How is Generative AI reshaping every profession?

Whether you're a developer, analyst, marketer, finance expert, or operations lead, the rise of Gen AI is transforming how work gets done. Kashif combines real-world enterprise experience, current research from McKinsey and Goldman Sachs, and his personal journey building the Gen AI Maturity Framework and Portal to uncover how you can stay relevant, resilient, and ready for AI-driven change.

He shares first-hand stories from his own AI adoption journey, how enterprise teams are shifting from cloud architecture to AI architecture, from isolated use-cases to full-scale agentic AI strategies and the lessons learned while guiding organizations through transformation.

This episode is both a roadmap and a reflection: how to experiment weekly, build your portfolio, upskill smartly, reposition your role, and teach and share as you grow.

Episode # 173

• Why Generative AI matters now and how it differs from traditional AI

• How tasks, roles, and careers are evolving across industries

• Real-world examples from finance, marketing, and software engineering

• The five practical steps to future-proof your career with Gen AI

• Insights from McKinsey, ResearchGate, and Goldman Sachs on AI productivity impact

• How to move from "knowing AI tools" to using AI strategically in daily work

• A behind-the-scenes look at the creation of the Gen AI Maturity Framework

• Why the future of work is not about jobs lost but roles transformed

1. McKinsey Global Institute – Generative AI and the Future of Work

2. Deloitte – Generative AI and the Future of Work

3. Goldman Sachs – How Will AI Affect the Global Workforce

4. Robert Half – How GenAI Is Changing Creative Careers

5. Mäkelä & Stephany (2024) – Complement or Substitute?

Open Tech Talks welcomes Lirone Glikman, author of The Super Connectors Playbook, global speaker, and relationship-building strategist. We dig into practical ways founders, students, and leaders can build authentic relationships, present with clarity, and sustain a personal brand without sounding salesy, especially now that AI makes everyone's writing look the same.

• Online vs. in-person connection: generational differences, when a DM beats a coffee, and why Asia still loves business cards.
• Founders' common gaps: turning a product story into a people story; shifting from "it works" to "it resonates."
• Presenting without fluff: tailoring your story for investors, customers, and connectors, while keeping it true.
• The 90-List cadence: a simple routine for staying top-of-mind authentically.
• Anxiety is normal: why most people feel it, and how to start anyway.
• Introvert strength: listening, asking better questions, and using silence as a feature.
• Personal branding at work: define the promise others can rely on; show it with facts, data, and actions.
• Authenticity in the LLM age: keep your voice, your phrasing, your structure; let AI edit - not author - you.
• Share wins without bragging: swap claims for evidence and we-language.
• Using AI to deepen, not replace, connection: research context, adapt tone, draft follow-ups, keep the spark human.

Episode # 172

She is a globally recognized expert, keynote speaker, and best-selling author specializing in business relationships, personal branding, and global business development.

• Website: LironeGlikman

What Listeners Will Learn:

• A repeatable method to build and maintain high-value relationships in minutes a day.
• How to package your story differently for investors, clients, and allies, without losing your core.
• Practical ways to keep an authentic voice when AI tools standardize language.
• How introverts can use their edge to win more conversations and opportunities.
• A simple framework to share achievements credibly (facts → data → actions)

• LironeGlikman

Episode 171 of Open Tech Talks brings a powerful conversation with Marc Pickren, the turnaround CEO behind multiple successful SaaS revivals and now the driving force at Springbot. Host Kashif Manzoor explores how today's businesses can stay resilient, profitable, and human-centered amid the rapid evolution of AI and automation.

Marc has spent the last decade reviving software companies between $5 million and $50 million in revenue, mastering the art of building "unkillable companies." In 2025, he decided to take the leap from corporate turnarounds to entrepreneurship, rolling up multiple firms into the Springbot ecosystem. The result: a capital-efficient, profitable SaaS company thriving amid uncertainty.

Their conversation goes deep into how AI is reshaping sales and marketing, not through hype but through measurable, real-world practices. Marc explains why most marketing dashboards lie, why pop-ups destroy conversion trust, and how AI-powered automation can help teams focus on what truly matters: genuine human conversations that drive revenue. He also shares how his team uses demo-video workflows to replace the traditional "demo call," reducing friction and turning qualified interest into business faster.

Kashif brings a personal perspective to the discussion, connecting Marc's approach with his own journey advising AI-first startups and building AI Tech Circle's Generative AI Maturity Framework. He recalls how curiosity, something Marc calls "the new survival skill", became the foundation for building his own AI-driven playbooks and newsletters that reach global professionals every weekend.

Episode # 171

Marc Pickren, CEO and entrepreneur at Springbot.com, has achieved a 3X founder exit, has raised $50M in capital, was nominated for CEO of the Year in Austin, and was named Top CEO for Women in 2019.

• Website: MarcPickren

What Listeners Will Learn:

• Design AI-enabled growth systems that prioritize efficiency and profit over vanity metrics
• Replace outdated funnels with conversation-centric sales frameworks
• Integrate AI automation and intelligent business agents without losing the human touch
• Identify go-to-market data priorities and build accurate ideal-customer profiles
• Avoid subscription clutter and AI-wrapper product fatigue while keeping focus on tangible outcomes
• Foster curiosity and adaptability as the most critical leadership mindset in 2025
• Pivot continuously and let customers shape your product, not vanity feature roadmaps

• MarcPickren

In this episode of Open Tech Talks, host Kashif Manzoor sits down with Emily McSherry, founder and CEO of Advise. This career development platform helps university students discover real-world careers through authentic video interviews. Emily shares her journey from recruitment and sales training to launching Advise, a platform now used by leading universities to bridge the gap between classroom learning and real-life career paths.

Listeners will learn how Advise uses AI-powered recommendation systems to connect students with the right content while preserving authenticity through authentic human voices. Emily discusses what makes today's students struggle with career choices, how Gen Z approaches work differently, and how universities are adapting to the rise of Generative AI in education.

The conversation explores practical lessons for founders and learners alike, from building an MVP and winning the first paying clients to maintaining emotional resilience as a startup leader. Emily also shares actionable career advice for students, including resume best practices, interview preparation, and using AI tools responsibly.

This episode offers a unique blend of entrepreneurship, education technology, and human-centered AI, making it ideal for educators, students, and tech professionals who are shaping the future of learning and work.

Episode # 170

She had developed Advize, a career platform that has already helped thousands of students discover and navigate their career paths for free. They partner with universities and corporations to democratize access to practical career guidance and support.

• Website: Advizehub

What Listeners Will Learn:

• How to build a scalable tech platform around a simple, authentic human insight.
• The real-world process of validating a startup idea and securing institutional clients.
• Why is authenticity in content becoming more valuable as AI-generated material floods the market?
• Practical strategies for students navigating AI-driven career tools and resume builders.
• How emotional resilience and mindset determine a founder's long-term success more than early traction.
• The Evolving Relationship between Gen AI, Universities, and the Future of Student Employability.

• Advizehub

In this episode of Open Tech Talks, host Kashif Manzoor speaks with Cristian Sibbles, founder of Autograph AI, a groundbreaking platform that transforms personal memories into digital legacies using Generative AI and Voice AI. Cristian shares how Autograph's virtual interviewer "Walter" calls users weekly to record their life stories, transforming them into searchable biographies and AI-powered avatars that preserve family wisdom for future generations.

From his roots in Paraguay to studying Artificial Intelligence at Stanford and working at Google, Cristian's journey reveals how technology, storytelling, and emotion can converge to build products that outlive trends. The discussion invovlved into AI-driven memory preservation, the technical architecture of voice-based agents, and Cristian's rapid MVP-to-market strategy, which went viral across nine countries.

Listeners will learn practical insights on building AI startups with emotional purpose, designing AI-first workflows, mastering iteration velocity, and leveraging Generative AI tools to solve real human problems. This episode is a must-listen for founders, engineers, and innovators exploring how AI can amplify human stories rather than replace them.

Episode # 169

Cristian Cibils Bernardes is the founder and CEO of Autograph, the company behind Walter, the world's first AI Historian. Walter functions as a journal, prompting users to document their life stories once a week. Cristian studied Symbolic Systems with a focus on Artificial Intelligence at Stanford, worked as a Software Engineer at Google, and was a Partner at Cibersons.

• Website: Autograph

What Listeners Will Learn:

• Cristian's personal story of growing up in a tech-driven family, studying AI at Stanford, and transitioning from Google engineer to founder.
• How Autograph integrates telephony, scheduling, and generative models to facilitate lifelike conversations.
• Insights on MVP development speed from idea to working prototype in one week, and to live beta in under four months.
• The importance of iteration velocity, AI-first thinking, and design thinking in modern product building.
• The emerging market for AI-driven memory preservation addresses the issues of loneliness and social connection in an aging population.
• Key lessons for GenAI founders, identifying human-centric problems, staying ahead of AI commoditization, and building products that last beyond technological hype.
• Why unstructured, emotional data, not structured enterprise data, may define the next generation of AI experiences.

• Autograph

In this episode of Open Tech Talks, host Kashif Manzoor sits down with Maurice McCabe, founder of AIASystems, AI specialist, and software architect with decades of experience in Silicon Valley and Los Angeles. Maurice shares his journey from early machine learning applications in mobile advertising to leading-edge work in Generative AI and Agentic AI systems.

The conversation on the concept of the AI Factory, a framework that transforms enterprise workflows and subject-matter expertise into scalable AI startups and SaaS products. Maurice explains how his team is building real-time AI agents, avatars, and voice-based AI systems.

He also introduces the ADAPT methodology, designed to help enterprises accelerate AI adoption and move beyond slow, traditional management cycles. Key insights include how to evaluate AI maturity models, integrate generative AI into an enterprise architecture, and address the security challenges posed by unstructured data.

Listeners will learn practical lessons for founders, consultants, and enterprises from how to bootstrap AI ventures and filter out hype, to why unstructured data is emerging as the next frontier of enterprise AI innovation.

Episode # 168

He has spent 20 years developing systems that ensure things actually work, from scalable SaaS platforms and real-time data pipelines to voice agents deployed in production environments.

• Website: AIASystems

What Listeners Will Learn:

• How enterprises can spin off niche products from workflows and subject-matter expertise.
• Emerging trends such as real-time avatars, voice-based agents, and multi-agent swarms.
• Why LiveKit, WebRTC, and specialized APIs are enabling scalable real-time AI systems.
• Lessons on cash flow, partnerships, and productivity tools for founders entering the generative AI space.
• A framework to help enterprises strategically adopt AI and outpace competitors.
• How to assess readiness through data, processes, and accessibility for generative AI adoption.
• Current gaps, risks of prompt manipulation, and the need for evaluation loops in AI systems.
• How to integrate unstructured data workflows into existing structured enterprise systems.
• Techniques for filtering hype, testing pilots, and staying grounded while AI evolves weekly.

Resources:

• AIASystems

In this episode of Open Tech Talks, Kashif Manzoor is joined by Bill Kasko, founder and president of Frontline Source Group. With more than two decades in the staffing industry, Bill shares how the talent landscape is shifting as AI, Generative AI, and automation reshape hiring needs. He explains why traditional hiring requirements like expecting years of experience in a new field, don't always match today's AI skill sets and how organizations are adapting to this rapid evolution.

Bill discusses the challenges companies face in finding AI-savvy talent, the rise of AI agents in products and workflows, and the ongoing evaluation of where AI truly saves time versus where human oversight is still required. He also offers insights into how candidates can stand out by demonstrating adaptability, sharing real project experiences, and even talking openly about failures.

The conversation touches on remote vs. hybrid work trends post-COVID, the role of LinkedIn as a talent network, and why employers are taking back control of hiring after the "great resignation."

Toward the end, Bill shares his People–Process–Service philosophy and explains why communication, honesty, respect, and entrepreneurial thinking are at the core of building resilient businesses and lasting relationships with clients and candidates.

Episode # 167

Bill Kasko is President and CEO of Frontline Source Group, a leading staffing and recruiting firm with a national presence. With a strong background in the industry, Mr. Kasko has driven Frontline Source Group to become an award-winning company that provides temporary, temp-to-hire, and direct hire staffing solutions across various industries.

• Website: Frontline Source Group

What Listeners Will Learn:

Why hiring for AI roles requires a new mindset, and how companies are coping with skills that don't have formal training pipelines yet.

• How businesses can keep up when AI technology shifts faster than traditional 18-36 month adoption cycles.
• Why adaptability, value creation, and project experience (even failed ones) are key for hiring managers today in the Gen AI era
• How organizations are evaluating when AI tools add real efficiency and when human review is still essential.
• Insights into hybrid, remote, and in-office work patterns and how they impact hiring.
• Why talent now comes from networks, not just applicant pools, and how leaders should rethink recruiting strategies.
• How Bill applies this framework to strengthen teams and deliver consistent, high-quality results.

• Frontline Source Group

In this episode of Open Tech Talks, we delve into the critical topics of AI security, explainability, and the risks associated with agentic AI. As organizations adopt Generative AI and Large Language Models (LLMs), ensuring safety, trust, and responsible usage becomes essential. This conversation covers how runtime protection works as a proxy between users and AI models, why explainability is key to user trust, and how cybersecurity teams are becoming central to AI innovation.

Chapters

00:00 Introduction to AI Security and eIceberg 02:45 The Evolution of AI Explainability 05:58 Runtime Protection and AI Safety 07:46 Adoption Patterns in AI Security 10:51 Agentic AI: Risks and Management 13:47 Building Effective Agentic AI Workflows 16:42 Governance and Compliance in AI 19:37 The Role of Cybersecurity in AI Innovation 22:36 Lessons Learned and Future Directions

Episode # 166

He's founded a next-generation AI cybersecurity company that's revolutionizing how we approach digital defense. With a strong background in enterprise tech and a visionary outlook on the future of AI, Alexander is doing more than just developing tools — he's restoring trust in an era of automation.

• Website: AIceberg.ai
• Linkedin: Alexander Schlager

What Listeners Will Learn:

• Why real-time AI security and runtime protection are essential for safe deployments
• How explainable AI builds trust with users and regulators
• The unique risks of agentic AI and how to manage them responsibly
• Why AI safety and governance are becoming strategic priorities for companies
• How education, awareness, and upskilling help close the AI skills gap
• Why natural language processing (NLP) is becoming the default interface for enterprise technology

Keywords:

AI security, generative AI, agentic AI, explainability, runtime protection, cybersecurity, compliance, AI governance, machine learning

• AIceberg.ai

Today, I have brought you an expert who has invested millions in startups, and he will share insights on the evolving landscape of startup investments, particularly in the realm of generative AI.

He discusses his journey from entrepreneurship to venture capital, the importance of learning from failures, and the traits that make startups successful. He also offers valuable advice for aspiring founders on how to improve their chances of success.

Chapters

00:00 Introduction to Gabriel Jorsson and Lobster Capital 02:13 The Shift to AI: Observations from Y Combinator 05:40 Investment Strategies: Beyond Y Combinator 06:22 Learning from Failures: Notable Investment Stories 09:06 Key Traits of Successful Startups 10:29 Generative AI: Trends and Insights 11:24 Evaluating Founders: Traits that Matter 11:55 Advice for Aspiring Entrepreneurs

Episode # 165

He is the Founder and Managing Partner at Lobster Capital, with over $40 million invested in more than 100 Y Combinator startups. As a serial entrepreneur with three exits, he has taken a bootstrapping approach to achieving $1M ARR with zero employees, and sold his first startup at the age of 25.

• Website: Lobster Capital
• YouTube: Lobster Capital

What Listeners Will Learn:

• Learn how Gabriel transitioned from running startups to becoming an angel investor and eventually a venture capitalist at Lobster Capital.

• Understand how personal experiences as a founder shape investment decisions.

• Gain perspective on how Y Combinator has increased its focus on AI startups.

• Recognize why AI represents one of the most significant technological shifts of our time and why investors are paying close attention.

• Hear how failed investments are not wasted but instead offer valuable lessons.

• Learn how to extract insights from what doesn't work to refine strategies and decision-making.

• Discover the common qualities Gabriel looks for in startups: deep understanding of market needs, creativity with limited resources, and resilience.

• Learn why evaluating founders' commitment, adaptability, and long-term vision is critical for success.

• Understand why startups should anchor their efforts on creating measurable value for customers rather than chasing hype.

• Get practical advice on how value creation improves both user adoption and investor confidence.

• Explore how generative AI is opening new opportunities for innovation.

• Learn why staying updated and flexible is essential to take advantage of the rapidly shifting AI environment.

• Gabriel emphasizes the importance of being a lifelong learner as a founder.

• Discover how continuous adaptation, openness to feedback, and iteration are vital for building enduring companies.

• Lobster Capital