AI at Work

Elijah Szasz, Kevin Williams
  • 5,0 (21)
  • Khởi nghiệp

AI at Work is hosted by Elijah Szasz (CEO of SPARK6) and Kevin Williams (CEO of Ascend Labs). Each week delivers actionable insights on how artificial intelligence is reshaping jobs today, and how you can use it to advance your career. We unpack real-world tools, automation workflows, and emerging roles so you can stop chasing hype and start using AI to get things done. Whether you’re an individual contributor, team lead, or business owner, we show you what to build, what to ask for, and what to look for in a workplace moving at machine-speed.

  1. Why Claude Code Has Nothing to Do With Code

    2 ngày trước

    Why Claude Code Has Nothing to Do With Code

    Most people heard "Claude Code" and assumed it was a developer tool. Kevin Williams and Matt Graham from Rapid Dev are here to correct that assumption and explain why the goal-oriented loop logic at the core of Claude Code might be the most underused productivity feature available to business leaders right now. This conversation started with a weekend of building and a realization: the same recursive, self-correcting loop that hardens software can harden a marketing plan, a strategic brief, or a financial analysis. The name was always the problem, not the tool. Kevin and Matt also get into the hacker house model how Rapid Dev gets more done in two focused weeks than two unfocused months and what happened when Kevin spent two days at a Los Angeles dining room table taking a high-end fashion brand from zero AI literacy to a functioning chief-of-staff agent. The episode covers the awkward middle most organizations are stuck in: past individual AI use, not yet at production-grade systems, and not quite sure how to close the gap. And with recent regulatory pressure on AI providers and real questions about vendor stability, they get practical about fallback architectures and what it actually means to build on a foundation that might shift. ✅ Why Claude Code is not a coding tool and what it actually does ✅ How /goal changes the quality and depth of any AI output ✅ The hacker house model: structure, composition, and expected outcomes ✅ The journey from individual AI use to organizational AI systems ✅ Vendor risk, provider instability, and the case for multi-model fallback ✅ Why organizational friction outlasts every technical solution Check out Kevin’s stuff: → Ascend Labs: https://ascendlabs.ai/ → Follow Kevin on LinkedIn:   / kevinguywilliams   → Get practical AI guidance: https://assessment.ascendlabs.ai/ → Book a consultation: http://tidycal.com/kevinwilliams Check out Matt’s stuff: → mailto:mgram@rapiddevelopers.com →   / rapid-dev

    47 phút
  2. Is Your Brain Worth Building or Should You Just Buy Glean?

    16 thg 6

    Is Your Brain Worth Building or Should You Just Buy Glean?

    The economics of building versus buying software just fundamentally changed. In this conversation with Matt Graham, CEO of Rapid Developers, we explore how the cost of custom development has dropped 90% and what that means for business strategy. Matt brings a unique perspective, having lived through the no-code revolution and now seeing the AI-native development wave. His company works with CEOs of $20-500M revenue businesses, and the patterns he's seeing are remarkable. From his 10-year-old son building a profitable e-commerce site over a weekend to enterprise clients rebuilding their ERPs from scratch, the landscape is shifting faster than most people realize. ✅ Key topics covered: • The evolution from no-code to AI-native development • Framework for build vs. buy decisions in the AI era • Why SaaS platforms walling off data changes the equation • Real cost breakdowns and ROI considerations • Job displacement concerns and the changing labor market • Personal tech stacks and tools that actually work Approximate timestamps: 00:00 — Intro and Matt's background 05:25 — No-code evolution and the AI transition 12:30 — Workflow problems vs. AI problems 18:45 — Build vs. buy framework 28:15 — SaaS disruption and data access issues 36:00 — Pricing model evolution and output-based work 45:30 — Job displacement and labor market impacts 50:45 — The 10-year-old entrepreneur story 53:20 — Personal tech stacks and tools Check out Kevin’s stuff: → Ascend Labs: https://ascendlabs.ai/ → Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/ → Get practical AI guidance: https://assessment.ascendlabs.ai/ → Book a consultation: tidycal.com/kevinwilliams Check out Matt’s stuff: → mgram@rapiddevelopers.com → https://www.linkedin.com/company/rapid-dev/

    52 phút
  3. The One Percent Problem That Creates 68% Productivity Gains

    9 thg 6

    The One Percent Problem That Creates 68% Productivity Gains

    95% of AI pilots fail to reach production, but it's not because of the technology. Brett Schklar, CEO of AI First Leadership and author of "AI Without the BS," has tracked AI adoption across 1,800 companies over two years and discovered the real bottleneck: the "frozen middle." In this conversation, Brett reveals why senior managers and directors represent both the highest resistance and highest potential impact for AI adoption. We explore his data showing marketing teams achieving 2.3x productivity gains while others fall behind, and his practical approach to building AI capacity through 1% weekly improvements that compound to 68% productivity gains. Key topics covered: ✅ Why the "frozen middle" blocks AI adoption ✅ How intelligence becomes a commodity but wisdom remains human ✅ The K-shaped productivity curve emerging in organizations ✅ Department-by-department ROI data from 1,800 companies ✅ Why focusing on 1% problems beats transformation strategies ✅ Building internal AI champions and centers of excellence ✅ The identity crisis driving AI resistance ✅ Practical tactics for mid-market AI implementation Timestamps: 00:00 — Intro and Brett's background 05:30 — From AI resistance to AI mandates: two-year evolution 12:00 — The model selection dilemma and governance concerns 18:45 — Scaling AI education beyond workshops 25:30 — The "frozen middle" problem explained 32:15 — ROI data across departments and functions 38:00 — Marketing productivity vs. content quality concerns 45:20 — Bringing marketing and sales together with AI 52:00 — Weekend project recommendations 57:00 — Brett's essential tools and where to connect Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/ Get practical AI guidance: launchpad.ascendlabs.ai Schedule a conversation with Kevin: tidycal.com/kevinwilliams Connect with Brett: AI First Leadership on LinkedIn: https://linkedin.com/in/bschklar Website: brettschklar.com Book: https://bit.ly/AIWithoutBS

    53 phút
  4. When Models Lie and You're Still Paying for the Tokens

    3 thg 6

    When Models Lie and You're Still Paying for the Tokens

    When AI models hallucinate confidently while burning through your token budget, you need more than better prompts you need better processes. In this episode, Kevin and Eli explore the reality of working with AI that lies while you pay, the evolution from saved prompts to voice-triggered workflows, and why validation loops matter more than model updates. From enterprise governance requirements to tech stack consolidation, this conversation cuts through the hype to reveal what actually works when deploying AI in real business contexts. Key topics covered: ✅ Why model reliability requires systematic validation, not perfect AI ✅ The shift from skills to snippets and voice-triggered workflows ✅ Enterprise governance requirements when litigation risk is involved ✅ Tech stack consolidation as AI tools mature beyond experimentation ✅ Cost economics driving procurement strategy changes ✅ Building quality control loops that catch hallucinations before implementation TIMESTAMPS: 00:00 — Intro and Sora commercial viability discussion 05:30 — Video generation landscape: Veo, SeeDance, Higgs Field 15:00 — Model quality regression and hallucination experiences 25:00 — Skills vs snippets: workflow evolution deep dive 35:00 — Enterprise governance and validation requirements 45:00 — Tech stack consolidation and platform comparisons 53:00 — Eli's transition and mental health focus Show Notes & Links: https://www.spark6.com/podcast   Submit listener questions:  elijah@spark6.com kevin@ascendlabs.ai    Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/   Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/

    56 phút
  5. Why Your AI Productivity Wins Are Making You Miserable

    28 thg 5

    Why Your AI Productivity Wins Are Making You Miserable

    Kevin and Eli dive deep into the hidden costs of AI productivity gains, exploring how cognitive overload and social isolation are creating a new form of workplace burnout that organizations aren't prepared to address. In this candid conversation, they share their personal experiences with AI work density accomplishing 80-100x more work daily while feeling more exhausted than ever. The discussion reveals why the promise of AI efficiency is backfiring without proper human-centered implementation. Key topics covered: ✅ AI work density and the cognitive load crisis ✅ Why context switching between AI tasks creates decision fatigue ✅ The importance of pacing in AI-forward organizations ✅ How to identify what should (and shouldn't) be automated ✅ The role of human connection in an AI-augmented workplace ✅ Platform comparison: OpenAI vs Claude vs Gemini for team adoption ✅ The hidden costs of AI agent proliferation ✅ Why most organizations miss the pedestrian productivity wins Timestamps: 00:00 — Platform switching and AI adoption decisions 08:00 — Microsoft integration advantages and limitations 15:00 — Team adoption and accessibility considerations 25:00 — AI work density and cognitive load crisis 35:00 — Human connection vs AI interaction 42:00 — What to automate vs what to preserve 48:00 — Organizational capture of AI innovations 55:00 — Enterprise data integration challenges Explore practical AI implementation: https://assessment.ascendlabs.ai/ Book a conversation with Kevin: tidycal.com/kevinwilliams Show Notes & Links: https://www.spark6.com/podcast   Submit listener questions:  elijah@spark6.com kevin@ascendlabs.ai    Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/   Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/

    57 phút
  6. Is Your Organization Ready or Just Excited?

    19 thg 5

    Is Your Organization Ready or Just Excited?

    What does AI implementation actually look like when you move beyond the hype? Aaron Wilt, CEO of 40-person Pulse V Holdings, shares the unfiltered reality of deploying AI in a mid-market business where technical sophistication meets organizational complexity. This conversation reveals why even leaders who deeply understand AI struggle with organizational deployment, and what it really takes to bridge the gap between AI demos and business transformation. Aaron breaks down the "trust calibration" problem, the three-way intersection most companies lack, and why winners use AI to win harder while others get left behind. Key topics covered: ✅ The implementation bottleneck - why technical knowledge isn't enough ✅ Trust calibration - when 85% AI accuracy is acceptable vs. dangerous ✅ Building AI teams - pairing skeptics with dreamers for maximum impact ✅ Control vs. scale - centralized innovation vs. distributed adoption ✅ The SaaSpocalypse - how AI enables internal capability building ✅ Risk management - deterministic vs. probabilistic AI applications ✅ Team dynamics - getting non-technical staff to adopt AI tools ✅ Future-proofing - what to tell kids about AI and careers Get practical AI guidance: https://assessment.ascendlabs.ai/ Book a conversation with Kevin: tidycal.com/kevinwilliams TIMESTAMPS: 00:00 — Introduction and Aaron's background 03:00 — AI evolution: Chat bot to context to orchestration eras 08:00 — The probabilistic nature problem and trust calibration 15:00 — Current AI stack and team adoption at Pulse V 22:00 — Risk management and process controls 28:00 — The SaaSpocalypse and internal capability building 31:00 — Organizational challenges and people dynamics 38:00 — Developer resistance and team composition 42:00 — Future education and closing thoughts Show Notes & Links: https://www.spark6.com/podcast   Submit listener questions:  elijah@spark6.com kevin@ascendlabs.ai    Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/   Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/

    43 phút
  7. The Microsoft-Claude Connection That Actually Works

    13 thg 5

    The Microsoft-Claude Connection That Actually Works

    Kevin Williams breaks down the Microsoft-Claude integration that's transforming productivity workflows, plus the legal risks and model competition shaping AI adoption decisions. The Claude add-on for Microsoft Office enables something most people haven't seen yet: lateral document communication. Your email can talk to Word, Word can talk to Excel, Excel can talk to PowerPoint—all seamlessly connected. Kevin explains why this integration matters more than having the smartest AI model, and how it's changing his perspective on Microsoft's productivity suite. The conversation also covers the current state of AI model competition, why different models excel at specific tasks, and the emerging legal liabilities around AI agents making autonomous decisions in organizations. How the Microsoft-Claude integration actually works Why document integration beats AI intelligence for most businesses Current state of GPT vs Claude vs Gemini capabilities Legal risks of AI transcripts and agent decisions Shadow AI use and corporate policy implications The "dead internet" problem with AI-generated content Why boring AI integration creates competitive advantage Practical next steps for Microsoft Office users APPROXIMATE TIMESTAMPS: 00:00 — Intro and Microsoft-Claude revelation 03:00 — How lateral document communication works 08:00 — Current AI model comparison and capabilities 15:00 — GPT agents vs Claude computer use 20:00 — Team plans and organizational AI adoption 25:00 — Risk tolerance for AI agent deployment 30:00 — The "dead internet" and content authenticity 35:00 — Legal liabilities and AI policy implications 40:00 — Wrap-up and next episode preview → Get practical AI guidance: https://assessment.ascendlabs.ai/ → Book a strategy conversation: tidycal.com/kevinwilliams Show Notes & Links: https://www.spark6.com/podcast   Submit listener questions:  elijah@spark6.com kevin@ascendlabs.ai    Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/   Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/

    38 phút
  8. When Your Team Says Claude But Means GPT

    5 thg 5

    When Your Team Says Claude But Means GPT

    The AI industry loves throwing around the word 'agents,' but most teams are still stuck in basic prompting mode. Kevin and Eli cut through the semantic noise to reveal what actually matters: sophisticated automation is now accessible through natural language, not technical configuration. In this episode, they explore the practical reality of moving from one-off prompts to systematic workflows, why the 'agent' versus 'automation' debate misses the point, and how natural language interfaces are removing technical barriers that used to require specialized workflow knowledge. Key topics covered: ✅ Why most people are still just prompting instead of building workflows ✅ How natural language makes complex automation accessible ✅ The practical difference between projects, automations, and agents ✅ Real examples of workflow automation without technical expertise ✅ Why focusing on results beats debating terminology ✅ Moving from ChatGPT tabs to systematic AI integration This isn't about the latest AI hype – it's about practical transformation that works Monday morning. TIMESTAMPS: 00:00 — Future of AI and robotics discussion 08:16 — Current state of enterprise AI adoption 16:30 — Job displacement and economic impact 25:40 — Moving beyond basic prompting 35:20 — Context and platform lock-in 42:30 — Agents vs automations semantics 52:00 — OpenAI agents vs Claude workflows 58:30 — Real-world automation examples Show Notes & Links: https://www.spark6.com/podcast   Submit listener questions:  elijah@spark6.com kevin@ascendlabs.ai    Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/   Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/

    1 giờ 2 phút
Xem tất cả (32)

5
/5
21 Xếp hạng

Giới Thiệu

AI at Work is hosted by Elijah Szasz (CEO of SPARK6) and Kevin Williams (CEO of Ascend Labs). Each week delivers actionable insights on how artificial intelligence is reshaping jobs today, and how you can use it to advance your career. We unpack real-world tools, automation workflows, and emerging roles so you can stop chasing hype and start using AI to get things done. Whether you’re an individual contributor, team lead, or business owner, we show you what to build, what to ask for, and what to look for in a workplace moving at machine-speed.

Thông Tin

  • Nhà sáng tạo
    Elijah Szasz, Kevin Williams
  • Năm hoạt động
    2025 - 2026
  • Tập
    32
  • Xếp hạng
    Thô tục
  • Bản quyền
    © 2025 Elijah Szasz, Kevin Williams
  • Trang web chương trình
    AI at Work

Có Thể Bạn Cũng Thích