Using AI at Work: AI in the Workplace & Generative AI for Business Leaders

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AI adoption often succeeds or fails in the ordinary work leaders overlook. In this episode Chris sits down with Artem Koren, Co-founder and Chief Product Officer of Sembly AI, to discuss how organizations can turn everyday conversations into structured intelligence, clearer decisions, and measurable execution. Artem’s work focuses on agentic systems, professional workflows, and making AI useful, safe, and practical for teams. 
Chris and Artem explore how AI-powered workflows can replace manual meeting admin, surface the work that matters, and help managers spend more time on strategy, judgment, and people. They also discuss responsible AI adoption, trust, and what executives need to understand before scaling AI across the organization. Leaders should listen for a grounded view of how to make AI adoption useful inside real operating teams.
Chapters:
(00:00) Introduction
(04:38) Starting Sembly AI Before the Market Was Ready
(07:42) The Hard Technical Problems Behind AI Meeting Notes
(10:48) Selling AI Meeting Assistants Before AI Was Mainstream
(16:04) From Meeting Notes to Meeting Intelligence
(23:04) Defining Meeting Intelligence for Business Outcomes
(25:31) Turning Meeting Context Into Proactive Workflows
(34:30) How to Evaluate AI Meeting Assistant Tools
(37:30) The Shift Toward Agentic AI in Business Workflows
(45:31) Creating Client Ready Business Materials With AI
(49:53) Where to Learn More About Artem and Sembly AI 

🔎 Find Out More About Artem Koren:
Artem Koren Website https://www.artemkoren.com/
Artem Koren LinkedIn https://www.linkedin.com/in/akoren
Sembly AI Website https://www.sembly.ai/

🛠 AI Tools and Resources Mentioned:
Sembly AI
https://www.sembly.ai/

ChatGPT
https://chatgpt.com/

Otter.ai
https://otter.ai/

Gong
https://www.gong.io/

Fireflies.ai
https://fireflies.ai/

Granola
https://www.granola.ai/

Recall.ai
https://www.recall.ai/

Rev
https://www.rev.com/

Speechmatics 
https://www.speechmatics.com

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The internet is filling up with content that looks real but may not be. In this episode Chris sits down with Max Spero, co-founder and CEO of Pangram Labs, an AI text detection company helping organizations distinguish human authored content from AI generated content. They explore how AI generated content is reshaping social media, recruiting, education, search, and business communication, and why trust is becoming a strategic business issue.
Chris and Max discuss the rise of AI slop, the risks of outsourcing critical thinking, the role of detection and transparency in AI adoption, and how leaders can create policies that encourage responsible AI use without sacrificing productivity. If you want practical guidance on balancing AI efficiency with human authenticity, this episode will help you prepare for what comes next.

Chapters:
(00:00) Introduction
(04:18) AI Slop, Agents, and Executive Blind Spots
(08:03) What Happens When Most of the Internet Is AI Generated?
(09:26) The Business Cost of Inauthentic Content
(12:11) LinkedIn, Social Media, and Detecting AI Replies
(15:03) Pangram's Detection Platform and Chrome Extension
(16:25) SEO, Content Automation, and Google's Response
(18:20) AI, Education, and Critical Thinking Skills
(23:23) Recruiting, Hiring, and AI Generated Applications
(29:17) Watermarking, Detection, and Verification Strategies
(31:06) Internal AI Policies and Workplace Transparency
(34:56) How Content Platforms Use AI Detection
(38:22) Preparing Students for an AI Driven Workforce
(42:13) Three Trust Building Actions for Leaders
(45:29) The Future of AI Detection and Digital Authenticity

Resources:

🔎 Find Out More About Max Spero

Max Spero LinkedIn
https://www.linkedin.com/in/maxspero
Pangram Labs
https://www.pangram.com
Pangram LinkedIn
https://www.linkedin.com/company/pangramlabs/ (LinkedIn)
Technical Report on the Pangram AI-Generated Text Classifier
https://arxiv.org/abs/2402.14873 (arXiv)

🛠 AI Tools and Resources Mentioned:

Pangram
https://www.pangram.com
Pangram Chrome Extension
https://www.pangram.com
ChatGPT
https://chatgpt.com
Claude
https://claude.ai
OpenAI
https://openai.com
Google Gemini
https://gemini.google.com
Ashby
https://www.ashbyhq.com
Quora
https://www.quora.com
Reality Defender
https://www.realitydefender.com
AirOps
https://www.airops.com
Apollo
https://www.apollo.io
OpenClaw
https://github.com/openclaw/openclaw

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The way customers discover brands is changing faster than most companies realize.
In this episode Chris sits down with Cole Casperson, Chief Data Officer and Partner at CrankTank, to explore how AI is transforming search, e-commerce, and customer discovery. Cole explains why traditional keyword-based SEO is giving way to AI retrieval systems that understand meaning, how large language models decide which brands get recommended, and why visibility in AI-generated answers is becoming a critical business advantage.
They discuss the rise of Generative Engine Optimization (GEO), the shift from keywords to concepts, how Amazon's AI systems foreshadow what's happening across the web, and why CEOs, product teams, and marketers all need to understand AI-driven discovery. Whether you sell products, services, or enterprise solutions, this episode offers practical insight into how buyers are finding companies today and why leaders who adapt early will be better positioned to compete in the AI era.

Chapters
(00:00) Introduction
(01:22) Meet Cole Casperson and CrankTank
(04:16) The New Front Doors of the Internet
(05:13) GEO, AEO, and the Evolution Beyond SEO
(07:49) From Keywords to Meaning Based Search
(12:03) How Google Search Is Adapting to AI
(14:08) Will Advertising Influence AI Answers?
(20:15) Why Early AI Optimization Matters
(24:03) Understanding AI Retrieval and RAG Systems
(39:21) Why CEOs Need to Understand AI Discovery
(46:42) Does GEO Matter Beyond E-Commerce?
(50:28) How Reach Measures AI Visibility

🔎 Find Out More About Cole Casperson:
Cole Casperson LinkedIn
https://www.linkedin.com/in/cole-casperson-b62209a3 
CrankTank
https://www.cranktank.net
REACH by CrankTank
https://reach.cranktank.net 
CrankTank LinkedIn
https://www.linkedin.com/company/cranktank

🛠 AI Tools and Resources Mentioned:

ChatGPT
https://chatgpt.com
Claude
https://claude.ai
Google Gemini
https://gemini.google.com
Amazon Rufus
https://www.amazon.com/rufus
Amazon Alexa
https://www.amazon.com/alexa
Microsoft Bing
https://www.bing.com
Brave Search
https://search.brave.com
Google Merchant Center
https://merchants.google.com
Google Performance Max
https://support.google.com/google-ads/answer/10724817
Meta Advantage+
https://www.facebook.com/business/advantage
Retrieval Augmented Generation (RAG)
https://aws.amazon.com/what-is/retrieval-augmented-generation/

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Most business owners know AI matters, but few know where to start.
In this episode Chris sits down with Corey Ganim, entrepreneur, AI consultant, and creator of AI assessment frameworks for small businesses. Corey shares how he helps non-technical business owners identify automation opportunities, reduce manual work, and implement practical AI solutions that generate measurable time savings. From AI skills and projects to voice agents and workflow automation, he explains how leaders can get results without becoming technical experts.
The conversation explores AI assessments, token efficiency, brand voice systems, AI-powered knowledge management, and the future of AI agents inside organizations. Corey also shares lessons learned building AI services, evaluating tools, and helping businesses create the data foundations required for long-term AI success. Leaders looking for practical AI implementation strategies will find actionable ideas they can apply immediately.

Chapters
(00:00) Introduction
(05:10) Becoming a Vibe Coder Without a Technical Background
(07:51) How Corey Evaluates and Creates AI Tool Content
(11:00) Why You Don't Need to Be an AI Expert to Create Value
(13:15) Choosing the Right AI Tool for the Job
(15:11) Skills, SOPs, and Repeatable AI Workflows
(17:10) Token Efficiency, Rate Limits, and Better AI Usage
(20:05) Building AI Projects and Custom Knowledge Systems
(28:09) Creating a Brand Voice Skill That Sounds Like You
(30:45) The AI Assessment Business Model Explained
(35:35) AI Assessments, Guarantees, and Time-Saving Opportunities
(42:09) Using Voice Agents to Conduct AI Discovery Calls
(45:32) Why Every Business Needs an Internal Knowledge Base
(49:58) The Future of AI Adoption and Autonomous Agents

🔎 Find Out More About Corey Ganim
Corey Ganim LinkedIn
https://www.linkedin.com/in/coreyganim
Corey Ganim Website
https://coreyganim.com
X (Twitter)
https://x.com/coreyganim
Build With AI Podcast:
https://podcasts.apple.com/us/podcast/build-with-ai/id1689819329 

🛠 AI Tools and Resources Mentioned:
Claude
https://claude.ai
ChatGPT
https://chatgpt.com
Claude Code
https://www.anthropic.com/claude-code
OpenAI Codex
https://openai.com/codex
Gamma
https://gamma.app
Google Gemini
https://gemini.google.com
Zapier
https://zapier.com
FutureTools
https://www.futuretools.io
Fathom
https://fathom.video
SaneBox
https://www.sanebox.com
TaxJar
https://www.taxjar.com
Retell AI
https://www.retellai.com
Twilio
https://www.twilio.com
ElevenLabs
https://elevenlabs.io
Notion
https://www.notion.so

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Voice AI is advancing faster than most organizations realize.
In this episode Chris talks with Shawn Zhang, CTO and co-founder of Sanas, the enterprise voice AI company focused on improving global communication through AI. Shawn shares how voice AI is evolving beyond call automation into a foundational layer for communication, context capture, and more natural human interaction with AI systems.
The conversation explores enterprise use cases, latency, customer service, sales applications, and what leaders should evaluate before investing in voice AI solutions. Executives exploring AI adoption will gain practical insight into where voice technology delivers value today and where the next wave of opportunity is emerging.

Chapters:
00:00 Introduction
02:27 Why Voice AI Matters for Business Leaders
04:47 Are We Early or Late to Voice AI?
06:06 Why Speech Is More Than Words
07:42 How Sanas Separates Voice Signals and Context
11:54 Enterprise Use Cases for Voice AI
15:23 Security, Local AI, and Enterprise Deployment
21:16 How Leaders Should Evaluate Voice AI Vendors
32:00 Why Latency Changes User Experience

Resources:
🔎 Find Out More About Shawn Zhang:

Shawn Zhang LinkedIn
https://www.linkedin.com/in/shawnbzhang
Sanas 
https://www.sanas.ai

🛠 AI Tools and Resources Mentioned:

OpenAI
https://openai.com

ChatGPT
https://chat.openai.com

Block
https://block.xyz

AIR.AI
https://air.ai

Klarna 
https://www.klarna.com