3reate

3reate

In a world of distractions; creativity and innovation change the direction of society. The future isn’t built by the loudest voices in the room; it’s built by doers: the artists who code, the scientists who sculpt, and the technologists who dream. 3reate goes beyond headlines providing the blueprint for the future. We bring you weekly deep dives and curated interviews with the hidden architects of the innovation economy. Creativity is your ultimate advantage. Support the pod: https://ko-fi.com/3reate https://patreon.com/3reate Listen on YouTube: https://www.youtube.com/@3reate Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/3reate/id1723426314 Listen on Spotify: https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF Our intro music: “Into the night” by @prazkhanal | Our outtro music: “Filler Drop” by @keyframeaudio

  1. Replace Operations Consulting With Fractional Operators – Christina Twitchell CEO of CLT Collective

    4d ago

    Replace Operations Consulting With Fractional Operators – Christina Twitchell CEO of CLT Collective

    When a tech startup hits rapid growth, the operational foundations almost always begin to crack. Founders frequently over-index on shiny enterprise software or push teams to experiment blindly with AI, creating a fragmented mess of disconnected workflows. The result isn't true innovation—it's operational debt and AI vibe slop. This episode strips away the corporate tech fluff to deliver an intensely practical breakdown of startup architecture with Christina Twitchell, founder and CEO of Her Wealth Mindset and CLT Collective. We dive deep into why traditional operations consulting handoffs fail scaling companies and how embedded, hands-on fractional operators bridge the execution gap. You will learn the exact distinction between a consultant who hands over a playbook and an operator who executes it, the true strategic mandate of an effective Chief of Staff, and how to stop over-indexing on tech tools when a simple process is what your business actually needs. Beyond the corporate grid, we challenge the standard metrics of wealth and time, offering a pragmatic framework to audit your weekly 168 hours to reclaim focus and control. Whether you are navigating a Series A transition or trying to pull back from an unorganized, company-wide AI implementation, this conversation serves as your tactical guide to building what lasts. Christina Twitchell founded CLT Collective (https://www.linkedin.com/in/christina-twitchell-5a545345/) after 10+ years scaling operations at companies like Block, ZipRecruiter, and Infusionsoft. Building first-of-kind functions, redesigning organizations mid-flight, and leading teams through the kind of complexity most consultants only advise on from the outside. Her work spans Strategy, Chief of Staff, Revenue and Customer Operations, Operating Model and Org Design. She specializes in the build phase — standing up what doesn't exist, fixing what's broken, and creating the infrastructure that makes growth sustainable. Her Wealth Mindset is a financial education platform built on a simple belief — real wealth includes your money, your time, your health, and your relationships. Tools and resources to help women build all of it, intentionally. Follow the journey @her_wealthmindset (https://www.instagram.com/her_wealthmindset/) Chapters: (00:00) Episode Preview. (00:56) Meet Christina Twitchell, multi-business founder and mother. (01:27) Empowering women through financial literacy platforms. (02:06) Providing fractional operational services for tech. (03:45) Aligning wealth building with personal values. (05:47) Cutting through intentional financial system confusion. (11:10) Defining foundational operations in tech startups. (13:03) Fractional operators versus traditional consulting models. (19:57) Deploying chief of staff roles effectively. (31:26) Avoiding over-engineered startup software infrastructure traps. (34:52) Fixing the unscalable AI vibe slop. (36:18) Organizing messy company-wide AI implementation strategies. (39:26) Predicting the upcoming AI ROI pullback. (46:29) Auditing your weekly hours for empowerment. Watch on YouTube: https://youtu.be/3CZyVGONWOM?si=tD59jn-fj3vYRbNw Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

    50 min

  2. Jun 6

    The AI Data Center Lie

    The conversation around artificial intelligence always seems to center on a singular anxiety: our power grid is going to collapse under the weight of AI data centers. But what if the environmental panic is just a distraction from a much deeper structural failure? In this episode, we strip away the surface-level hysteria regarding data center liquid cooling systems and energy consumption. While critics compare data centers to toxic manufacturing plants, the real friction lies in our legal and economic architecture. We are attempting to govern a 21st-century information economy using 20th-century zoning laws and traditional property tax frameworks. When a physical factory opens, it employs thousands of locals who buy groceries, pay income taxes, and stimulate the local economy. When an AI data center opens, it creates massive virtual value that is immediately extracted back to Silicon Valley, leaving the host community with a handful of jobs and a strained infrastructure. We break down the mechanical realities of closed-loop cooling, explore why standard server use-taxes are fundamentally broken, and offer actionable regulatory solutions—from mandatory grid-positive energy contributions to localized AI education credits. Stop letting outdated policies drain your community's resources. Tune in to understand the true cost of compute and how to fix it. Time stamps: (00:00) Stream intro and chatting with viewers (00:47) AI power requirements and resource realities (02:22) Debunking data center water consumption myths (03:29) How liquid cooling systems actually operate (06:00) Power density challenges of modern GPUs (09:21) Google's AI algorithm for data center cooling (12:24) Microclimate changes around Oregon data centers (17:14) How data centers impact local grids (21:14) The real problem with data center taxation (24:53) Economic extraction versus local community value Watch on YouTube: https://www.youtube.com/live/6hYEnx0gjL8?si=QEhckY1uA8sh6eqk Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

    36 min
  3. The UFO Disclosure: What Everyone Gets Wrong

    May 30

    The UFO Disclosure: What Everyone Gets Wrong

    The Department of Defense—recently rebranded as the Department of War—launched a public repository detailing decades of unexplained anomalous phenomena (UAP). This isn't corporate tech fluff or sensationalized clickbait; it is millions of pages of raw, institutional data capturing objects that appear to bend the known laws of physics. In this episode of 3reate, we bypass the typical screaming media hype to look at the engineering reality behind these tranches. If these crafts are genuinely instantaneous accelerators capable of crossing water-to-air boundaries without drag, our foundational physics models are fundamentally broken. However, as builders, we have to look at the alternative: are we simply witnessing complex hardware edge cases and buggy next-generation sensors tracking unprecedented atmospheric patterns? We dissect the deep-seated human ego driving the narrative of alien reverse-engineering. Disassembling space-time bending architecture isn't a problem solved by a few people in a clandestine lab—it requires an infrastructure humans cannot currently fathom. If a civilization mastered limitless energy to travel light-years, why would they crash in our backyard, and why would they care about a primitive nuclear ant colony? We map out the massive economic shifts that true infinite energy would unlock, from completely upending global supply chains to rendering resource constraints obsolete. (00:00) Hello! (01:17) Breaking down the war.gov disclosure website. (11:47) Why AI companies backtrack on AGI (14:32) Why advanced military sensors record anomalies. (23:35) Critical thinking: sensor errors versus physics. (31:35) The technical arrogance of reverse-engineering claims. (44:58) Deconstructing the Drake equation's massive flaws (52:50) Infinite energy and the motivation problem. Watch on YouTube: https://www.youtube.com/live/k75_HvlMqcI Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

    1h 15m

  4. May 23

    Unpacking AI Hype: Just Replace the word AI with Computer

    Tech layoffs are spiking again, and executives are pointing fingers at AI. It’s a convenient narrative designed to cover up years of reckless over-hiring and structural debt. If you are tired of the corporate fluff and unverified "trust us, bro" capabilities coming out of OpenAI, Anthropic, and Google, this breakdown is your intellectual palate cleanser. We introduce a simple philosophical frame to instantly de-hype any narrative: replace the word "AI" with "computer" and see if the panic holds up. From there, we expose the mechanics of automated code vulnerability scanning. While tech giants claim their new systems can secure the web, the reality is that AI-generated slop is effectively DDoS-ing open-source maintainers with unexploitable gravel instead of real software fixes. Finally, we follow the money. Discover why venture capital funds and tech leaders are driving the hype cycle toward massive initial public offerings (IPOs), why the goalposts for AGI will miraculously shift once those cash-outs hit, and how soaring data center and compute costs are already forcing enterprise companies to quietly restrict their token usage. Time Stamps: (00:00) Hello! (00:52) Tech layoffs use AI as scapegoat. (01:47) The simple philosophical computer test. (02:45) Unverified security claims from tech giants. (08:52) Open source choked by AI slop. (17:08) Following the money behind AI IPOs. (21:58) Rising compute costs break product ROI. Watch on YouTube: https://www.youtube.com/live/0bj4QpXmWyk?si=r_sUx9L4_hCN5FSJ Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

    31 min
  5. We Are All AI: How AI Is DESTROYING Innovation

    May 16

    We Are All AI: How AI Is DESTROYING Innovation

    In this episode, we tackle the growing exhaustion surrounding forced AI integration. From sleep apps that confidently hallucinate your biometrics to the broader societal impacts of online fabrication and clickbait, we explore exactly what happens when technology gets in the way of actual utility. We also look at the human side of the equation: why do comfortable teams stop innovating? Why has a culture of perfectionism replaced the scientific method of trial, error, and iteration? By drawing parallels between the high-stakes problem-solving of early rocket science and today's software development, we unpack how the fear of failure paralyzes progress. You'll discover why constraints often breed the most creative solutions, how to recognize the apathy trap in your own workflows, and why seasoned AI developers are the ones actively telling companies to stop putting AI into absolutely everything. If you're tired of useless tech trends and want to get back to building things that actually work, this conversation is your blueprint. Watch on YouTube: https://www.youtube.com/live/0UOrBCjAMJ8?si=fLUhYsBHWHq9JVdx Time Stamps: (00:00) Hello! (01:25) The true danger of clickbait and rage-baiting online (05:50) How comfort and lack of constraints kill workplace innovation (11:50) The perfectionism trap stopping engineers from problem-solving (14:20) Accidental innovation: What the invention of Velcro teaches us (19:35) Forced AI: A hilarious rant on a sleep app hallucinating data (23:45) Why an actual AI developer wants AI out of consumer products Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate

    25 min
  6. The Real AI Bottleneck Isn’t Your Code

    May 10

    The Real AI Bottleneck Isn’t Your Code

    Is code really holding your team back, or is it your organizational structure? With AI empowering individuals to build faster than ever, traditional tech bottlenecks are rapidly disappearing. But as individual output skyrockets, a new problem emerges: keeping everyone moving cohesively in the same direction. In this episode, Andrew and Nathan dive deep into why the real AI bottleneck isn't your code—it's your people. They unpack the pitfalls of modern management, the death of the traditional product roadmap, and why context is the most valuable currency when working with both human developers and AI agents. From the dangers of "vibe coding" everything without focus, to the hard truth that your company's true moat is now organizational rather than technical, this conversation challenges everything you know about building software in the AI era. Stop letting outdated management styles and unclear roadmaps slow down your development. Whether you're a solo builder or running a massive tech team, understanding these organizational shifts is crucial for survival. "The bottleneck was never the code" by Rémi Louf: https://www.thetypicalset.com/blog/thoughts-on-coding-agents Watch on YouTube: https://www.youtube.com/live/rz-IX4WjRB4?si=n-_djUUZOC7cv712 Time Stamps: (00:00) We're live on Thursday!? (01:15) The bottleneck was never your code (03:35) AI accelerates individuals, not whole teams (06:40) The value and pitfalls of management (11:50) Roadmaps limit learning and product direction (21:35) Context is gold for human workflows (25:10) Focus means learning to say no (28:30) Vibe coding creates abstract spaghetti code (31:35) The new moat is purely organizational Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate

    38 min
  7. AI Destroyed Social Media and How You Fight Back – Devin Gaffney of Graze Social

    May 4

    AI Destroyed Social Media and How You Fight Back – Devin Gaffney of Graze Social

    As AI-generated noise floods our social feeds, big platforms are effectively throwing up their hands and declaring "slop bankruptcy." Today, we explore the friction between technology and society with Devin Gaffney, CEO of Graze Social, who is fundamentally rewiring the attention economy. We dive into the architecture of outrage, the illusion of "credible exit" in federated networks, and how his company, Graze Social, acts as a "Photoshop for algorithms." You'll learn why platforms are designed to trigger "forest fires" of engagement, and how empowering individual users to design and monetize their own custom feeds might be our best defense against the coming wave of AI slop. Stop consuming the hype and start understanding the mechanism. Devin Gaffney is CEO and Co-founder of Graze Social, a platform for custom algorithms on the open social web that has served 10M+ users and delivered 28B+ posts. His career spans civic tech and social platforms — from misinformation research at Northeastern and Oxford to ML infrastructure at Meedan — with work in WIRED, The Atlantic, and PLOS One. Find Devin: https://www.graze.social https://www.devingaffney.com/ LinkedIn: https://www.linkedin.com/in/devin-gaffney/ Watch us on YouTube: https://youtu.be/WmQA7uNHj54 Time Stamps: (00:00) Episode Preview: Automating behavior on social platforms. (01:47) Devin's background in tech and academia. (08:23) Exploring Blue Sky. (11:00) Understanding the decentralized social networking model. (16:45) How outrage fuels the attention economy. (25:55) Graze: Building custom algorithms without code. (34:15) Developing an open ad network economy. (45:40) AI's impact on social media algorithms. (51:10) Big tech platforms declaring slop bankruptcy. (58:55) Cognitive bias and the outrage machine. Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

    1h 5m
  8. The AI Mindset Mistake: Why 90% Fail (And How To Win)

    May 2

    The AI Mindset Mistake: Why 90% Fail (And How To Win)

    We tackle the elephant in the room: Data Governance. Andrew and Nathan sit down to unpack the real "AI Mindset" necessary for the modern creator, developer, and executive. We move beyond the hype of flawless AI automation and dig into the messy reality of the software development lifecycle. From fixing memory management crashes caused by AI-written code to understanding why an LLM needs you to hold its hand through every context shift, we explore what it actually takes to build reliable tools alongside artificial intelligence. Is your proprietary data actually as sacred as you think it is? We deconstruct the hoarding mentality that paralyzes companies and offer actionable frameworks for exposing your data models securely. Whether it's safely utilizing foundational models or bridging the friction between gatekeeping IT departments and eager product managers, this episode provides the blueprint for scaling AI responsibly. AI Data Governance Executive Summary: AI Data Governance is currently misunderstood as a strictly technical challenge when it is primarily a cultural and management problem. Organizations artificially throttle their own AI potential by treating all internal data as sacred, highly proprietary, and untouchable. True AI governance requires taking a realistic inventory of your data's actual value, dismantling internal IT gatekeeping, and finding secure ways to empower non-technical teams. By exposing data schemas rather than raw PII and fostering an environment of psychological safety, companies can securely leverage foundational models to multiply their workforce's productivity. Key Points: Reevaluate Data Sanctity: Companies default to hoarding data, but executives must ask hard questions: Is this data actually unique? What happens if it leaks? Do we even need to be collecting this PII in the first place? Expose Schemas, Protect Raw Data: You don't always need to feed sensitive data into an LLM to get value. Empower employees by exposing the data model or schema to the AI, allowing it to write queries and build reports without ever touching the underlying raw data. The "Build vs. Buy" Trust Factor: If you already trust third-party enterprise vendors with your cloud hosting or IT security, you can likely trust foundational AI model providers by implementing proper enterprise agreements and boundaries. Governance is a Management Issue: Employees hoard data and block AI integration when they lack psychological safety. If your culture punishes people for making mistakes or breaking things during experimentation, they will refuse to adopt the AI tools necessary to scale the business. The AI Mindset Executive Summary: The "AI Mindset" requires a fundamental shift away from expecting perfection or "magic" from generative AI. Because generative AI is inherently non-deterministic, it will inevitably hallucinate or introduce bugs—much like traditional software development. To succeed with AI, creators and engineers must treat the technology like a highly capable but completely uncontextualized collaborator. This means embracing an iterative loop of prompting, applying critical thinking to manage edge cases, and focusing on the massive productivity gains of "what could go right" rather than being paralyzed by what could go wrong. Key Points: Embrace Non-Deterministic Outputs: Generative AI is not a deterministic calculator; it operates on statistics. If you spend all your time trying to force it into rigid deterministic filters, you defeat the purpose of using it. The Context Deficit: Unlike humans who carry vast amounts of implied cultural and institutional knowledge, AI only knows exactly what you tell it in its current context window. You must explicitly set the stage, outline contraindications (what not to do), and explain the "why." Master the Iterative Loop: Building with AI requires a constant cycle of zooming in and zooming out. You must focus the AI on a narrow, specific problem (like a login screen), and then zoom out to critically think about how that fix impacts the broader system. Critical Thinking is the Ultimate Skill: AI cannot self-prompt effectively. It requires a human in the loop who can anticipate edge cases, ask hard questions, and steer the creative or developmental process. Watch on YouTube: https://www.youtube.com/live/IEb1_aAHo9I Time Stamps: (00:00:00) Pre-show banter and minor technical difficulties (00:01:45) Why Gen AI fails customer-facing products (00:05:30) Transitioning AI proof of concepts into production (00:10:00) Debugging AI code and unexpected edge cases (00:15:45) Giving up the expectation of AI perfection (00:17:40) Focusing on what can go right instead (00:22:00) Understanding why AI lacks human implicit context (00:24:45) Mastering the iterative loop of AI prompting (00:36:05) Reevaluating the true value of internal data (00:41:30) How to expose data models to AI safely (00:45:40) Why data governance is a management problem (00:51:00) Using AI tools to multiply worker productivity (00:55:45) Wrapping up with fun May Day triviaAI Mindset and AI Data Governance? Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate

    57 min
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Ratings & Reviews

5
out of 5
4 Ratings

About

In a world of distractions; creativity and innovation change the direction of society. The future isn’t built by the loudest voices in the room; it’s built by doers: the artists who code, the scientists who sculpt, and the technologists who dream. 3reate goes beyond headlines providing the blueprint for the future. We bring you weekly deep dives and curated interviews with the hidden architects of the innovation economy. Creativity is your ultimate advantage. Support the pod: https://ko-fi.com/3reate https://patreon.com/3reate Listen on YouTube: https://www.youtube.com/@3reate Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/3reate/id1723426314 Listen on Spotify: https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF Our intro music: “Into the night” by @prazkhanal | Our outtro music: “Filler Drop” by @keyframeaudio

Information

  • Creator
    3reate
  • Years Active
    2023 - 2026
  • Episodes
    80
  • Rating
    Explicit
  • Copyright
    © 2026 3reate Powered by A Secret Company
  • Show Website
    3reate