Podcasts about Workflow

Mentor Sessions Ep. 028: Bitcoin Podcasting Secrets: Start Your Bitcoin Podcast, Crush Decentralized Media & Dominate NOSTR | Walker AmericaUnlock Bitcoin podcasting mastery and skyrocket your decentralized media game in this must-watch Mentor Sessions interview with Walker America, host of THE Bitcoin Podcast. Discover why Bitcoin podcasting is exploding—despite the echo chamber myths—and how newcomers can dominate niches like NOSTR, languages, and youth audiences. Walker reveals growth hacks for stacking millions of views, essential tools under $500 for pro setups, common pitfalls like skipping video, and why NOSTR crushes centralized platforms for Bitcoin monetization via zaps. Learn rocraft killer thumbnails without feeling dirty, and build skills in audio editing, storytelling, and self-promotion. Perfect for aspiring Bitcoin podcasters, NOSTR enthusiasts, and anyone battling fiat distractions—hit play, stack sats, and launch your Bitcoin podcast today!Chapters:00:00:00 Intro & Teaser: Bitcoin Podcasting Myths Exposed00:01:17 Welcome & Walker's Journey to Bitcoin Podcasting00:04:45 Too Many Bitcoin Podcasts? Echo Chamber Reality Check00:07:21 Finding Your Niche & Competing with Distractions00:10:40 Gaps in Bitcoin Podcasting: Languages, Youth & More00:14:10 Common Mistakes: Video, Workflow & Promotion00:16:03 NOSTR Growth Hacks for Decentralized Media00:20:43 Creative Formats: Tutorials, Niches & Passions00:22:50 Authenticity, Self-Promotion & Orange-Pilling Friends00:28:51 Essential Gear: Pro Bitcoin Podcast Setup Under $50000:35:31 Prep Strategies: Guests, Questions & Styles00:41:34 Austrian Economics Through Bitcoin00:44:31 Skills Gained: Storytelling & Decentralized Media Mastery00:57:27 Clickbait Secrets: Thumbnails, Titles & Delivery01:05:56 Metrics That Matter: Retention & RSS Feeds01:11:06 RSS Setup for Censorship-Resistant Podcasting01:15:02 Is This Time Different? Supercycle Vibes & Stacking Sats01:19:15 Treasury Adoption: Inevitable but Risky for PlebsAbout Walker America:Host of THE Bitcoin Podcast, Bitcoin educator, and decentralized media advocate.X: @WalkerAmerica @titcoinpodcastWebsite: bitcoinpodcast.netGET THE GEAR: bitcoinpodcast.net/gearNostr: primal.net/walker

Lee la experiencia completa en: https://www.vidasenred.com/2025/09/primer-flujo-de-trabajo-con-n8n-y.htmlTelegram Isla difusión: https://t.me/+M46yiWO_BJU2NzkyCárcel Planetaria: https://www.youtube.com/@carcelplanetariaSuscríbete a mi podcast: https://www.spreaker.com/user/vidasenred

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

In this episode of Building Better Developers with AI, hosts Rob Broadhead and Michael Meloche revisit a classic topic: The Power of Clickable Demos in the Software Development Lifecycle. This time, they reframe it through the lens of demo-driven development, exploring how lightweight prototypes align teams, validate ideas, and reduce costly missteps. What is Demo-Driven Development? Demo-driven development utilizes interactive prototypes early in the lifecycle to demonstrate how an application might function before coding begins. These demos link wireframes or screens together into a simple, clickable flow. Low fidelity: Basic wireframes to test flow and logic. High fidelity: Polished UI mockups that look like production. Best practice: Begin low fidelity and add detail only as needed. “Demo-driven development gives stakeholders something to touch and test—without weeks of coding.” How Interactive Demo-Driven Development Improves Alignment Instead of static diagrams, teams can walk clients through interactive experiences that make requirements tangible. This approach helps uncover gaps, clarify assumptions, and prevent misunderstandings. Even a rough demo can save hours of rework by sparking conversations that written requirements alone often miss. Benefits for Developers, Managers, and Clients Prototypes provide value across roles: Developers: Spot design flaws early and estimate with more confidence. Product managers and designers: Validate ideas quickly and secure buy-in. Clients and end users: Interact with something realistic, making feedback far easier. “Many times, a demo exposes what was never written in requirements—but was always assumed.” Common Pitfalls to Avoid As Michael points out, demos can sometimes create false direction. Stakeholders may perceive the prototype as production-ready, prompting teams to release features that are rushed or incomplete. To prevent this: Emphasize that prototypes are exploratory. Focus on solving the problem, not polish. Avoid over-engineering features that may never be built. Using Prototypes for A/B Testing One strength of this approach is the ability to test multiple designs quickly. By creating different variations of a flow, teams can gather real feedback and compare preferences. For instance, rotating two demo versions on a website gives instant insight into which design resonates most, ensuring decisions are based on evidence rather than guesswork. Tools and Workflow for Demo-Driven Development Rob and Michael highlight practical ways to make demos effective: Start with wireframes – concentrate on flow, not design. Choose the right tools – Figma, Adobe XD, Sketch, or basic HTML/CSS. Test before presenting – nothing derails a meeting faster than broken links. Guide discussions – keep clients from getting stuck on minor details, such as colors. Keep it lean – focus on essentials that prove the concept. “Solve the problem first. Make it pretty later.” Why This Approach Still Matters Today Revisiting this topic highlights the continued value of demo-driven development. It accelerates feedback, ensures alignment, and keeps projects focused on real user needs before heavy development begins. When used wisely, it reduces risk, minimizes wasted effort, and helps teams deliver software that both functions effectively and delights users. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Building Out Your Application From a Demo How to Create an Effective Clickable Demo Successful Presentation Tips for Developers: Effective Demo Strategies Transform Your Projects: The Ultimate Guide to Effective User Stories The Developer Journey Videos – With Bonus Content Building Better Developers With AI Podcast Videos – With Bonus Content

Workflow optimization isn’t just for massive corporations. As a small business owner, your time is your most precious resource. If you’re constantly putting out fires, chasing deadlines, or redoing tasks that should’ve been smooth, you don’t need more time. You need better workflows. When your systems are messy, outdated, or non-existent, everything feels harder than it should. Today, I’m breaking down five workflow optimization fixes that can free up hours each week, reduce team friction, and help you scale without burning out. Want expert help streamlining your business operations? If you’re tired of juggling systems and want someone to come in, clean it up, and help you build a business foundation that scales—book an Operations Strategy Call. We’ll audit your current workflows, spot the inefficiencies, and create a plan that saves you hours (and headaches) every week. www.ceoamplify.ca/ops **** Enjoyed this episode? Please share it with someone who would benefit. Also, don’t forget to rate and leave a review.  Your feedback not only means the world to me, but it also helps us reach more entrepreneurs like yourself who are ready to amplify their businesses. Questions? Comments? Want to share how this podcast has helped you? Let’s continue the conversation: Email: donna@ceoamplify.ca Facebook: https://www.facebook.com/donna.dube.96 LinkedIn: https://www.linkedin.com/in/donna-dube/ Subscribe to my email newsletter: https://ceoamplify.ca/#kedit_nbhts40zi

Join Lois Houston and Nikita Abraham as they chat with Yunus Mohammed, a Principal Instructor at Oracle University, about the key stages of AI model development. From gathering and preparing data to selecting, training, and deploying models, learn how each phase impacts AI's real-world effectiveness. The discussion also highlights why monitoring AI performance and addressing evolving challenges are critical for long-term success.   AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/252500   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   --------------------------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hey everyone! In our last episode, we spoke about generative AI and gen AI agents. Today, we're going to look at the key stages in a typical AI workflow. We'll also discuss how data quality, feedback loops, and business goals influence AI success. With us today is Yunus Mohammed, a Principal Instructor at Oracle University.  01:00 Lois: Hi Yunus! We're excited to have you here! Can you walk us through the various steps in developing and deploying an AI model?  Yunus: The first point is the collect data. We gather relevant data, either historical or real time. Like customer transactions, support tickets, survey feedbacks, or sensor logs. A travel company, for example, can collect past booking data to predict future demand. So, data is the most crucial and the important component for building your AI models. But it's not just the data. You need to prepare the data. In the prepared data process, we clean, organize, and label the data. AI can't learn from messy spreadsheets. We try to make the data more understandable and organized, like removing duplicates, filling missing values in the data with some default values or formatting dates. All these comes under organization of the data and give a label to the data, so that the data becomes more supervised. After preparing the data, I go for selecting the model to train. So now, we pick what type of model fits your goals. It can be a traditional ML model or a deep learning network model, or it can be a generative model. The model is chosen based on the business problems and the data we have. So, we train the model using the prepared data, so it can learn the patterns of the data. Then after the model is trained, I need to evaluate the model. You check how well the model performs. Is it accurate? Is it fair? The metrics of the evaluation will vary based on the goal that you're trying to reach. If your model misclassifies emails as spam and it is doing it very much often, then it is not ready. So I need to train it further. So I need to train it to a level when it identifies the official mail as official mail and spam mail as spam mail accurately.  After evaluating and making sure your model is perfectly fitting, you go for the next step, which is called the deploy model. Once we are happy, we put it into the real world, like into a CRM, or a web application, or an API. So, I can configure that with an API, which is application programming interface, or I add it to a CRM, Customer Relationship Management, or I add it to a web application that I've got. Like for example, a chatbot becomes available on your company's website, and the chatbot might be using a generative AI model. Once I have deployed the model and it is working fine, I need to keep track of this model, how it is working, and need to monitor and improve whenever needed. So I go for a stage, which is called as monitor and improve. So AI isn't set in and forget it. So over time, there are lot of changes that is happening to the data. So we monitor performance and retrain when needed. An e-commerce recommendation model needs updates as there might be trends which are shifting.  So the end user finally sees the results after all the processes. A better product, or a smarter service, or a faster decision-making model, if we do this right. That is, if we process the flow perfectly, they may not even realize AI is behind it to give them the accurate results.  04:59 Nikita: Got it. So, everything in AI begins with data. But what are the different types of data used in AI development?  Yunus: We work with three main types of data: structured, unstructured, and semi-structured. Structured data is like a clean set of tables in Excel or databases, which consists of rows and columns with clear and consistent data information. Unstructured is messy data, like your email or customer calls that records videos or social media posts, so they all comes under unstructured data.  Semi-structured data is things like logs on XML files or JSON files. Not quite neat but not entirely messy either. So they are, they are termed semi-structured. So structured, unstructured, and then you've got the semi-structured. 05:58 Nikita: Ok… and how do the data needs vary for different AI approaches?  Yunus: Machine learning often needs labeled data. Like a bank might feed past transactions labeled as fraud or not fraud to train a fraud detection model. But machine learning also includes unsupervised learning, like clustering customer spending behavior. Here, no labels are needed. In deep learning, it needs a lot of data, usually unstructured, like thousands of loan documents, call recordings, or scan checks. These are fed into the models and the neural networks to detect and complex patterns. Data science focus on insights rather than the predictions. So a data scientist at the bank might use customer relationship management exports and customer demographies to analyze which age group prefers credit cards over the loans. Then we have got generative AI that thrives on diverse, unstructured internet scalable data. Like it is getting data from books, code, images, chat logs. So these models, like ChatGPT, are trained to generate responses or mimic the styles and synthesize content. So generative AI can power a banking virtual assistant trained on chat logs and frequently asked questions to answer customer queries 24/7. 07:35 Lois: What are the challenges when dealing with data?  Yunus: Data isn't just about having enough. We must also think about quality. Is it accurate and relevant? Volume. Do we have enough for the model to learn from? And is my data consisting of any kind of unfairly defined structures, like rejecting more loan applications from a certain zip code, which actually gives you a bias of data? And also the privacy. Are we handling personal data responsibly or not? Especially data which is critical or which is regulated, like the banking sector or health data of the patients. Before building anything smart, we must start smart.  08:23 Lois: So, we've established that collecting the right data is non-negotiable for success. Then comes preparing it, right?  Yunus: This is arguably the most important part of any AI or data science project. Clean data leads to reliable predictions. Imagine you have a column for age, and someone accidentally entered an age of like 999. That's likely a data entry error. Or maybe a few rows have missing ages. So we either fix, remove, or impute such issues. This step ensures our model isn't misled by incorrect values. Dates are often stored in different formats. For instance, a date, can be stored as the month and the day values, or it can be stored in some places as day first and month next. We want to bring everything into a consistent, usable format. This process is called as transformation. The machine learning models can get confused if one feature, like example the income ranges from 10,000 to 100,000, and another, like the number of kids, range from 0 to 5. So we normalize or scale values to bring them to a similar range, say 0 or 1. So we actually put it as yes or no options. So models don't understand words like small, medium, or large. We convert them into numbers using encoding. One simple way is assigning 1, 2, and 3 respectively. And then you have got removing stop words like the punctuations, et cetera, and break the sentence into smaller meaningful units called as tokens. This is actually used for generative AI tasks. In deep learning, especially for Gen AI, image or audio inputs must be of uniform size and format.  10:31 Lois: And does each AI system have a different way of preparing data?  Yunus: For machine learning ML, focus is on cleaning, encoding, and scaling. Deep learning needs resizing and normalization for text and images. Data science, about reshaping, aggregating, and getting it ready for insights. The generative AI needs special preparation like chunking, tokenizing large documents, or compressing images. 11:06 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest tech. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 11:50 Nikita: Welcome back! Yunus, how does a user choose the right model to solve their business problem?  Yunus: Just like a business uses different dashboards for marketing versus finance, in AI, we use different model types, depending on what we are trying to solve. Like classification is choosing a category. Real-world example can be whether the email is a spam or not. Use in fraud detection, medical diagnosis, et cetera. So what you do is you classify that particular data and then accurately access that classification of data. Regression, which is used for predicting a number, like, what will be the price of a house next month? Or it can be a useful in common forecasting sales demands or on the cost. Clustering, things without labels. So real-world examples can be segmenting customers based on behavior for targeted marketing. It helps discovering hidden patterns in large data sets.  Generation, that is creating new content. So AI writing product description or generating images can be a real-world example for this. And it can be used in a concept of generative AI models like ChatGPT or Dall-E, which operates on the generative AI principles. 13:16 Nikita: And how do you train a model? Yunus: We feed it with data in small chunks or batches and then compare its guesses to the correct values, adjusting its thinking like weights to improve next time, and the cycle repeats until the model gets good at making predictions. So if you're building a fraud detection system, ML may be enough. If you want to analyze medical images, you will need deep learning. If you're building a chatbot, go for a generative model like the LLM. And for all of these use cases, you need to select and train the applicable models as and when appropriate. 14:04 Lois: OK, now that the model's been trained, what else needs to happen before it can be deployed? Yunus: Evaluate the model, assess a model's accuracy, reliability, and real-world usefulness before it's put to work. That is, how often is the model right? Does it consistently perform well? Is it practical in the real world to use this model or not? Because if I have bad predictions, doesn't just look bad, it can lead to costly business mistakes. Think of recommending the wrong product to a customer or misidentifying a financial risk.  So what we do here is we start with splitting the data into two parts. So we train the data by training data. And this is like teaching the model. And then we have got the testing data. This is actually used for checking how well the model has learned. So once trained, the model makes predictions. We compare the predictions to the actual answers, just like checking your answer after a quiz. We try to go in for tailored evaluation based on AI types. Like machine learning, we care about accuracy in prediction. Deep learning is about fitting complex data like voice or images, where the model repeatedly sees examples and tunes itself to reduce errors. Data science, we look for patterns and insights, such as which features will matter. In generative AI, we judge by output quality. Is it coherent, useful, and is it natural?  The model improves with the accuracy and the number of epochs the training has been done on.  15:59 Nikita: So, after all that, we finally come to deploying the model… Yunus: Deploying a model means we are integrating it into our actual business system. So it can start making decisions, automating tasks, or supporting customer experiences in real time. Think of it like this. Training is teaching the model. Evaluating is testing it. And deployment is giving it a job.  The model needs a home either in the cloud or inside your company's own servers. Think of it like putting the AI in place where it can be reached by other tools. Exposed via API or embedded in an app, or you can say application, this is how the AI becomes usable.  Then, we have got the concept of receives live data and returns predictions. So receives live data and returns prediction is when the model listens to real-time inputs like a user typing, or user trying to search or click or making a transaction, and then instantly, your AI responds with a recommendation, decisions, or results. Deploying the model isn't the end of the story. It is just the beginning of the AI's real-world journey. Models may work well on day one, but things change. Customer behavior might shift. New products get introduced in the market. Economic conditions might evolve, like the era of COVID, where the demand shifted and the economical conditions actually changed. 17:48 Lois: Then it's about monitoring and improving the model to keep things reliable over time. Yunus: The monitor and improve loop is a continuous process that ensures an AI model remains accurate, fair, and effective after deployment. The live predictions, the model is running in real time, making decisions or recommendations. The monitor performance are those predictions still accurate and helpful. Is latency acceptable? This is where we track metrics, user feedbacks, and operational impact. Then, we go for detect issues, like accuracy is declining, are responses feeling biased, are customers dropping off due to long response times? And the next step will be to reframe or update the model. So we add fresh data, tweak the logic, or even use better architectures to deploy the uploaded model, and the new version replaces the old one and the cycle continues again. 18:58 Lois: And are there challenges during this step? Yunus: The common issues, which are related to monitor and improve consist of model drift, bias, and latency of failures. In model drift, the model becomes less accurate as the environment changes. Or bias, the model may favor or penalize certain groups unfairly. Latency or failures, if the model is too slow or fails unpredictably, it disrupts the user experience. Let's take the loan approvals. In loan approvals, if we notice an unusually high rejection rate due to model bias, we might retrain the model with more diverse or balanced data. For a chatbot, we watch for customer satisfaction, which might arise due to model failure and fine-tune the responses for the model. So in forecasting demand, if the predictions no longer match real trends, say post-pandemic, due to the model drift, we update the model with fresh data.  20:11 Nikita: Thanks for that, Yunus. Any final thoughts before we let you go? Yunus: No matter how advanced your model is, its effectiveness depends on the quality of the data you feed it. That means, the data needs to be clean, structured, and relevant. It should map itself to the problem you're solving. If the foundation is weak, the results will be also. So data preparation is not just a technical step, it is a business critical stage. Once deployed, AI systems must be monitored continuously, and you need to watch for drops in performance for any bias being generated or outdated logic, and improve the model with new data or refinements. That's what makes AI reliable, ethical, and sustainable in the long run. 21:09 Nikita: Yunus, thank you for this really insightful session. If you're interested in learning more about the topics we discussed today, go to mylearn.oracle.com and search for the AI for You course.  Lois: That's right. You'll find skill checks to help you assess your understanding of these concepts. In our next episode, we'll discuss the idea of buy versus build in the context of AI. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 21:39 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Join the Imagen Community on Facebook to continue the discussions between episodes.We're bringing you a hands-on masterclass for photographers and videographers who want to reclaim their time, streamline their business, and stay ahead of the game. If you're tired of getting lost in endless editing or want to know how pros balance creative quality with growing demands, this episode is for you.John Bunn is a wedding videographer and photographer, and also the host of the How To Film Weddings Podcast. With 19+ years of experience shooting weddings, he began How To Film Weddings in 2018 and has now taught tens of thousands of wedding professionals. John focuses on detailed business strategies, social media growth, and service. John Bunn joins Scott to share his secrets to thriving in today's videography market. With two decades of experience, John opens up about efficient workflows, outsourcing, and practical habits that set great businesses apart. John's worked through every stage, from editing hundreds of events himself to building teams and smart systems. He gives you a peek behind the curtain on using tools like Dropbox, Imagen, outsourcing partners, and even balancing life and admin work as a creative entrepreneur.“To me, if I can shave hours of time off of something, I'm going to do it. I don't find the joy in doing something that's monotonous that could be done with a click of a button.” - John BunnResourcesSmallHD MonitorsDropboxAtomic HabitsWhy You Should ListenDiscover proven workflows to save hours on editing and organization in photography and video.Learn how outsourcing can help you scale your creative business without sacrificing quality.Hear real-life stories from a thriving wedding photographer and filmmaker who's worked over 500 events.Pick up practical advice for balancing admin, creativity, and personal time as your business grows.Get inspired by professional habits and small changes that have a big impact, both in and out of the studio.Don't miss out—tune in to sharpen your photography workflow, find new ways to get your time back, and set yourself up for more creativity and growth in 2025 and beyond!(00:00) - 67 (02:59) - Defining Filmmaker Terminology (05:10) - John's Wedding Filmmaking Journey (06:07) - Outsourcing and Workflow Efficiency (11:25) - Balancing Work and Personal Life (14:03) - Creating Efficient Habits (15:05) - Imagen's Impact on Workflow (17:46) - The Art of Color Grading (18:48) - Challenges in Video vs. Photo (19:29) - Workflow Enhancements for Consistent Quality (24:41) - Pricing and Market Strategies (28:34) - Administrative Struggles and Solutions

This week, we discuss AI disillusionment, the good and bad of AI use cases, and VMware news. Plus, we compare tech mergers to Taylor Swift's engagement. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/CbnZ1rbCdCw?si=Psfe1gM33zDFQT1e) 534 (https://www.youtube.com/live/CbnZ1rbCdCw?si=Psfe1gM33zDFQT1e) Runner-up Titles I'm going to turn off the Roomba Spider Patrol My old office had a door The dog was up all night Exiting our bubble The child's name is Steve We don't want to anger the Swifties It's fine isn't good enough I am leaving my wife for Google Search It's all made-up anyway Anything you see, CSV just pops out Stop digging Rundown Trough of Disillusionment? OpenAI CEO Sam Altman Concedes GPT-5 Was a Misfire, Bets on GPT-6 - Decrypt (https://decrypt.co/336053/openai-ceo-sam-altman-concedes-gpt-5-misfire-bets-gpt-6) Suddenly, Silicon Valley Is Lowering AI Expectations — New York Magazine (https://apple.news/AUWOJ5HKQSp27r74sgu9v8w) It Took Many Years And Billions Of Dollars, But Microsoft Finally Invented A Calculator That Is Wrong Sometimes (https://defector.com/it-took-many-years-and-billions-of-dollars-but-microsoft-finally-invented-a-calculator-that-is-wrong-sometimes) The Search for Product Market Fit Clouded Judgement 8.22.25 - Workflows Are the New Databases (https://cloudedjudgement.substack.com/p/clouded-judgement-82225-workflows?utm_source=post-email-title&publication_id=56878&post_id=171604013&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) AWS CEO says AI replacing junior staff is 'dumbest idea' (https://www.theregister.com/2025/08/21/aws_ceo_entry_level_jobs_opinion/?utm_source=substack&utm_medium=email) Coinbase CEO explains why he fired engineers who didn't try AI immediately (https://techcrunch.com/2025/08/22/coinbase-ceo-explains-why-he-fired-engineers-who-didnt-try-ai-immediately/) VMware Modern Private Cloud: The Data Center's Next Chapter - Broadcom News and Stories (https://news.broadcom.com/explore/vmware-explore-2025-vmware-cloud-foundation-news-and-momentum) Broadcom calls for tech to go back where it belongs: On-prem (https://www.theregister.com/2025/08/26/vmware_explore_vcf_evolution/) Feds: Critical Software Must Drop C/C++ by 2026 or Face Risk (https://thenewstack.io/feds-critical-software-must-drop-c-c-by-2026-or-face-risk/) Relevant to your Interests Microsoft says U.S. law takes precedence over Canadian data sovereignty (https://www.digitaljournal.com/tech-science/microsoft-says-u-s-law-takes-precedence-over-canadian-data-sovereignty/article) Removing XSLT From the Web Platform (https://mjtsai.com/blog/2025/08/21/removing-xslt-from-the-web-platform/) Walmart Fires VP for Taking Daily Kickbacks Starting from $30K (https://www.ctol.digital/news/walmart-fires-vp-kickbacks-terminates-1200-contractors/) YouTube secretly used AI to edit people's videos. The results could bend reality (https://www.bbc.co.uk/future/article/20250822-youtube-is-using-ai-to-edit-videos-without-permission) Bye-bye barrel jack: Framework brings 240W USB-C charging to laptops (https://www.theverge.com/news/765542/framework-240w-usb-c-pd-charger-first-framework-16) Google scores six-year Meta cloud deal worth over $10 billion (https://www.cnbc.com/2025/08/21/google-scores-six-year-meta-cloud-deal-worth-over-10-billion.html) Nonsense Nerd! How the word popularized by Dr. Seuss went from geeky insult to mainstream (https://www.npr.org/2025/08/20/nx-s1-5507053/nerd-dr-seuss-word-of-week) K-Pop Demon Hunters os recommend in the Slack Python Package Management tool “uv” PROMOTE STICKERS Conferences SREDay London (https://sreday.com/2025-london-q3/), Coté speaking, September 18th and 19th. Civo Navigate London (https://www.civo.com/navigate/london/2025), Coté speaking, September 30th. Texas Linux Fest (https://2025.texaslinuxfest.org), Austin, October 3rd to 4th. CF Day EU (https://events.linuxfoundation.org/cloud-foundry-day-europe/), Coté speaking, Frankfurt, October 7th, 2025. AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th-16th, London. Use code SDT20 for 20% off. Wiz Wizdom Conferences (https://www.wiz.io/wizdom), NYC November 3-5, London November 17-19 SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), Coté speaking, November 7th. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Gmail Manage Subscriptions (https://techcrunch.com/2025/07/08/gmails-new-manage-subscriptions-tool-will-help-declutter-your-inbox/) Matt: Deskflow (https://github.com/deskflow/deskflow) Search Engine: A Dubai Chocolate Theory of the Internet (https://www.searchengine.show/a-dubai-chocolate-theory-of-the-internet/) Photo Credits Header (https://unsplash.com/photos/a-couple-of-women-walking-across-a-lush-green-field-g9VzOpYYpzQ)

Register for my free webinar:⁠9/17 at 12pm EST⁠⁠9/22 at 1pm EST⁠Registered guests will receive the replay BUT there are freebies for live attendees only!In today's episode, we are talking through the Cruise Planning Workflow in detail. This is where you can really make your mark by making sure your clients are fully prepared for their cruise, with no questions left unanswered. And you can do this with EASE if you set it up with automation in your CRM.If you need some help, take a look at the ⁠Workflow Shop⁠ and our ⁠Done-For-You CRM setup service⁠ for Tern & TravelJoy (Travefy is coming soon!).Have questions? You can reach me at hello@travelbizboss.com.

I'm still very much a baby creator figuring this whole content creation thing out, but I've been testing workflows that actually make it feel fun instead of overwhelming. * Work with me: https://www.iamstormysage.com/course * Office hours: https://www.iamstormysage.com/officehours* Fun, flirty, unfiltered diary entries: https://substack.com/@stormysagemedia * Connect with me:  https://www.instagram.com/stormysagemedia  https://www.tiktok.com/@thestormyshowpodcast * The underground radio to your flirty future self: https://tr.ee/PhSJD76wrBI share how I create and repurpose content across YouTube, TikTok, Instagram, LinkedIn, and even Substack…without burning out.I talk about my behind-the-scenes process (yes, sometimes I film 5 TikToks in a day

In this episode of Future Finance, hosts Glenn Hopper and Paul Barnhurst welcome Dennis Jiang, co-founder and CEO of Rosie. Dennis shares how Rosie helps professionals navigate complex spreadsheets, debug formulas, and optimize financial models. The conversation explores how AI is transforming spreadsheet use, streamlining tedious tasks, and empowering users to focus on strategic insights. Dennis also explains the unique challenges of integrating AI into financial workflows and how Rosie is changing the landscape of Excel usage for power users.Dennis Jiang is the co-founder and CEO of Rosie, an AI-powered assistant that helps professionals understand, build, and analyze spreadsheets with ease. Dennis started his career as a consultant at Bain & Company, where he became an Excel whiz, so much so that he later worked as a freelance Excel consultant for high-profile clients like Apple. Having seen firsthand how much his clients and colleagues rely on spreadsheets yet struggle with them, Dennis founded Rosie to leverage agentic AI to finally solve that problem and help professionals focus on insights rather than wrestling with formulas.In this episode, you will discover:How Rosie's AI assistant redefines how professionals use Excel.The role of AI in auditing and debugging complex financial models.How Rosie saves time for finance teams by automating tedious tasks.The difference between Rosie and tools like Microsoft Copilot for advanced users.Why Dennis believes that spreadsheets will remain central to finance, even as AI technology evolvesDennis shared his journey from consulting to founding Rosie, offering an inspiring look at how AI is transforming Excel modeling and financial workflows. His insights into automating tedious tasks, debugging complex models, and enhancing financial analysis provide invaluable guidance for professionals looking to leverage AI to improve productivity and decision-making.Follow Dennis:LinkedIn - https://www.linkedin.com/in/dennis-jiang-0387923/Website - https://www.askrosie.ai/?utm_source=podcast&utm_campaign=futurefinance1Special Offer for Our Listeners: Enjoy 1 free month of Rosie Premium (a $20 value) using the code FUTUREFINANCE at checkout.Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn - https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[03:04] - Why Rosie Was Created[05:22] - Microsoft's AI Integration Struggles[06:45]...

Supercharging your podcast with a livestream can feel like conquering a complex maze! Setting up your podcast live workflow with a clear path from initial setup to flawless execution is absolutely critical for stress-free live videocasting. This isn't for the tech-challenged or those who want to just turn on the mic and wing it; this is pro stuff! Dive in to discover how to streamline your operations and deliver professional-quality content that truly captivates your audience, without ever needing to press play on the video!Don't miss any tips or tools! Join the experts at Podcasters United LIVE every Wednesday at Noon PST. PODCASTERS UNITED MISSION - Uniting independent podcasters in order to create more power amplification! By uniting, we make sure every voice is heard, even without big network marketing dollars. Podcasters United empowers podcast hosts to grow by providing the necessary tools, tips, tactics, and resources to promote, amplify, and collective bargain for publicity and monetization opportunities. Through unification, we leverage our collective force to level the playing field with networks that can outspend any individual independent podcaster. And, thanks to our generous sponsors, we provide it without any union dues! Join the movement created by podcasters, for podcasters, about podcasters — FREE to Podcasters! Join us at https://podcastersunited.org/__________________Wish you could get expert podcast tips like this every week for FREE? You can!But let's be real, if you're serious about podcasting, you NEED to actually show up at our next LIVE expert session where we drop knowledge bombs about what you won't hear anywhere else. The truth about what it takes to produce, market and monetize your podcastWHEN: every Wednesday at Noon PT | 1pm MT | 2pm CT | 3pm ETThis isn't some fluffy, surface-level chat meant to sell you something. We're diving deep into the tips, tools and tactics to help you play as a free agent in the big league of podcasting with the big kids.Skip this live stream and you'll be missing out on crucial insights that could make or break your podcasting journey.Set a reminder NOW: https://podcastersunited.org/eventsWhile you are at it, subscribe to our FREE weekly newsletter to get alerted to the weekly LIVE topic and get proven and useful podcasting tips, news and resources, customized just for you. https://podcastersunited.org/join-us/You get a newsletter! You get a different newsletter! And you get your own newsletter too!

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Have you ever scribbled down endless blogging to-do lists on sticky notes, feeling scattered and like you're holding everything in your brain? You're not alone. Many bloggers start with great intentions in their workday, but end up overwhelmed, burned out, and unsure of what to prioritize. That's why having a plan is so important. On this episode of The Ultimate Blog Podcast, Amy and Jennifer share how to create a weekly blog workflow that works for your life. Tune in to learn the four key buckets of a weekly blog workflow, practical tips to build a plan customized to your life, and a resource can help you along the way.

In this exclusive interview recorded at Microchip MASTERs 2025 in Scottsdale, AZ, Judy Warner sits down with Roger Richey (Chief Architect, Microchip) and Matt Bromley (VP, Siemens EDA) to discuss the powerful new partnership between Microchip and Siemens. Together, they explore how Siemens's new PartQuest Design Enablement platform is transforming the engineer's journey, from component discovery to design integration, leveraging AI and powerful data intelligence. Learn More about Part Quest Design Enablement 

Mike Psenka, CEO of Moovila, discusses the limitations and challenges of large foundational AI models, particularly in the context of their application in complex tasks. While these models have shown impressive capabilities, there is a growing concern about their reliability, especially when it comes to analyzing intricate data structures like graph data. Psenka emphasizes that these models excel at generating content but struggle with tasks that require deep understanding and analysis of relationships and dependencies within data.The conversation highlights the importance of recognizing the error rates associated with AI models. Psenka points out that while advancements have been made in areas like 2D and 3D vision, certain domains, such as graph data, still exhibit unacceptably high error rates. This limitation raises questions about the trustworthiness of AI in critical applications, where a single mistake can lead to significant consequences. He urges caution in relying solely on generative AI for complex evaluations and suggests a hybrid approach that combines traditional deterministic AI methods with generative models.As the discussion progresses, Psenka shares insights on the emerging trend of agentic AI, which aims to automate decision-making processes. He argues that while agentic AI can handle small, discrete tasks effectively, it falls short in managing complex workflows that require nuanced understanding. The need for a structured framework that integrates both deterministic and generative AI is emphasized, allowing for more reliable outcomes in complex scenarios. This hybrid model could help mitigate the risks associated with AI errors and improve overall efficiency.Finally, Psenka offers guidance for managed service providers (MSPs) and IT service providers on workflow automation. He stresses the importance of identifying which processes can be automated while ensuring that human oversight remains integral to the workflow. By developing flexible templates that can adapt to various customer needs, MSPs can enhance their service offerings and improve operational efficiency. The conversation concludes with a call to action for organizations to build AI capabilities and stay competitive in a rapidly evolving landscape. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Feeling stuck on what to send your email list each week? You're sitting on a goldmine of content: your social media posts. In this episode, Emma breaks down how to repurpose your top-performing social content into value-packed weekly emails that convert. Forget starting from scratch or reinventing the wheel. This is about working smarter, not harder. Emma walks you through a simple 3-step workflow to take your content from Instagram to inbox in under 15 minutes. You'll also learn how to identify the right posts to repurpose, how to beef them up with storytelling and strategy, and why repeating your message across platforms is not only okay, it's essential. If you've ever felt overwhelmed by email marketing, this episode will shift your mindset and give you the tools to start showing up consistently and at a high level.  Listen in as Emma explains: Why repeating your message across platforms builds brand trust and authority. The 3-step process to transform social posts into weekly emails. How to identify strong hooks and expand them with deeper insight. And much, much more!   Connect with Ninety Five Media: Website   Instagram  Need Support with Your Podcast? We've got you covered  Book a Strategy Intensive Call with Emma for a custom marketing plan for your brand:   strategyintensivecall.co   Book a call to explore our social media management services for your business! ninetyfivemedia.co/book-a-call  Start posting consistently by scheduling out your content in advance! Use Ninety Five Media's favorite tool, Later.com, to experience how easy this gets to be: http://try.later.com/ninetyfivemedia   

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Mon, 18 Aug 2025 14:00:00 GMT http://relay.fm/cortex/170 http://relay.fm/cortex/170 Simone Giertz – State of the Workflow 170 Myke Hurley Myke talks to Simone Giertz about her workflow for turning ideas into products, from early sketches and CAD prototypes to manufacturing, launching, and running a product studio alongside her YouTube channel. Myke talks to Simone Giertz about her workflow for turning ideas into products, from early sketches and CAD prototypes to manufacturing, launching, and running a product studio alongside her YouTube channel. clean 4408 Myke talks to Simone Giertz about her workflow for turning ideas into products, from early sketches and CAD prototypes to manufacturing, launching, and running a product studio alongside her YouTube channel. This episode of Cortex is sponsored by: Squarespace: Save 10% off your first purchase of a website or domain using code CORTEX. Fitbod: Get stronger, faster with a fitness plan that fits you. Get 25% off your membership. Factor: Healthy, fully-prepared food delivered to your door. Use code cortex50off Sentry: Mobile crash reporting and app monitoring. Get 6 months of the Team plan free with code cortex. Guest Starring: Simone Giertz Links and Show Notes: Get Moretex – More Cortex, with no ads. Submit Feedback Simone Giertz - YouTube Yetch Studio The Coat Hinger – Yetch Studio A chair built for your half-dirty clothes - Simone Giertz - YouTube Why I spent 3 years working on a coat hanger - Simone Giertz - YouTube Fusion 360 Patch Cap – Yetch Studio Screwdriver Ring – Yetch Studio Coat Hingers – Foldable Coat Hangers – Kickstarter The Every Day Calendar – Kickstarter The Every Day Goal Calendar – Yetch Studio Spool Table – Yetch Studio What I've learned from 10 years on YouTube - Simone Giertz - YouTube Yetch Studio – Instagram Edge Piece Puzzle – Yetch Studio Why sales is the worst part of my job - Simone Giertz - YouTube Simone's Home Screen Brick Microsoft To Do Microsoft To Do Paper Apps™ TO•DO Notebook – Gladden Design Pencil Dice™ – Gladden Design

Mon, 18 Aug 2025 14:00:00 GMT http://relay.fm/cortex/170 http://relay.fm/cortex/170 Myke Hurley Myke talks to Simone Giertz about her workflow for turning ideas into products, from early sketches and CAD prototypes to manufacturing, launching, and running a product studio alongside her YouTube channel. Myke talks to Simone Giertz about her workflow for turning ideas into products, from early sketches and CAD prototypes to manufacturing, launching, and running a product studio alongside her YouTube channel. clean 4408 Myke talks to Simone Giertz about her workflow for turning ideas into products, from early sketches and CAD prototypes to manufacturing, launching, and running a product studio alongside her YouTube channel. This episode of Cortex is sponsored by: Squarespace: Save 10% off your first purchase of a website or domain using code CORTEX. Fitbod: Get stronger, faster with a fitness plan that fits you. Get 25% off your membership. Factor: Healthy, fully-prepared food delivered to your door. Use code cortex50off Sentry: Mobile crash reporting and app monitoring. Get 6 months of the Team plan free with code cortex. Guest Starring: Simone Giertz Links and Show Notes: Get Moretex – More Cortex, with no ads. Submit Feedback Simone Giertz - YouTube Yetch Studio The Coat Hinger – Yetch Studio A chair built for your half-dirty clothes - Simone Giertz - YouTube Why I spent 3 years working on a coat hanger - Simone Giertz - YouTube Fusion 360 Patch Cap – Yetch Studio Screwdriver Ring – Yetch Studio Coat Hingers – Foldable Coat Hangers – Kickstarter The Every Day Calendar – Kickstarter The Every Day Goal Calendar – Yetch Studio Spool Table – Yetch Studio What I've learned from 10 years on YouTube - Simone Giertz - YouTube Yetch Studio – Instagram Edge Piece Puzzle – Yetch Studio Why sales is the worst part of my job - Simone Giertz - YouTube Simone's Home Screen Brick Microsoft To Do Microsoft To Do Paper Apps™ TO•DO Notebook – Gladden Design Pencil Dice™ – Gladden Design

In this episode of The Interventional Endoscopist Podcast, I dive into how AI-powered scribing has transformed my clinical workflow. Using Doximity's AI scribe, I share step-by-step insights into documentation, patient engagement, and time savings in daily practice. I outline the advantages, limitations, and customization strategies while reflecting on the broader role of AI in reducing burnout and enhancing the physician–patient connection. Whether you're an interventionalist, general GI, APP, or any healthcare professional curious about real-world AI integration, this episode offers a practical look at how scribing can change the way we practice medicine.   https://blog.doximity.com/articles/meet-doximity-scribe  

Episode 263 of The Business Development Podcast takes you deep into the editing stage of podcast production, where a raw recording transforms into a polished, professional show. In Part 7 of the Podcast Playbook series, Kelly Kennedy shares his complete start-to-finish editing workflow, honed over hundreds of episodes. From understanding your DAW workspace to identifying and fixing common audio problems, he covers the why and how behind every step, always keeping the listener's experience front and center. Kelly also breaks down his go-to plugins, explains their real-world use cases, and offers detailed guidance on creating a consistent, clean sound that keeps audiences engaged.Listeners will walk away with a clear, repeatable process for editing like a pro, including the exact sequence Kelly uses to repair, enhance, and master audio before releasing it into the world. Alongside the technical instruction, he shares valuable mindset advice—normalizing the learning curve, encouraging practice, and reminding creators that great editing isn't about chasing perfection, but about respecting your audience's time and attention. Whether you're a beginner or a seasoned podcaster looking to tighten your process, this episode delivers the tools, techniques, and confidence to elevate your show's production quality.Key Takeaways: 1. Editing is for the listener, not you, and should focus on making the show easy and enjoyable to follow.2. Understanding your DAW workspace is essential before making any edits.3. Common audio issues like hiss, hum, reverb, plosives, sibilance, clicks, and uneven levels must be identified and fixed early.4. Use the right plugins to solve problems efficiently without overprocessing the voice.5. Always fix issues before enhancing audio with EQ, compression, or clarity tools.6. Edit for your ears, not your eyes, and trust what you hear over what you see on the waveform.7. Keep a human feel by leaving natural pauses and personality in the conversation.8. Maintain consistent loudness levels to meet podcast industry standards and avoid listener volume adjustments.9. Record and use room tone to make cuts seamless and keep edits invisible.10. Perform a full quality control listen-through on multiple devices before publishing.

In this episode of Future Finance, hosts Glenn Hopper and Paul Barnhurst sit down with Nicolas Kopp, the founder and CEO of Rillet, to discuss how AI is transforming finance operations. The episode dives deep into the practical applications of AI-native ERPs, with Nicolas explaining how his platform redefines general ledger management. The discussion explores the future of finance workflows, from the zero-day close to AI-driven automation in accounting tasks. It's a compelling conversation about integrating advanced technology into finance without needing deep technical expertise.Nicolas Kopp is the founder and CEO of Rillet, the AI-native ERP designed to automate accounting and close books faster. Backed by Sequoia, Rillet empowers accountants by integrating AI seamlessly into financial workflows. Previously, Nicolas served as the US CEO of N26, a fintech bank valued at $9 billion, where he played a key role in leading its expansion into the US market. Prior to N26, he spent five years in investment banking at Morgan Stanley. Nicolas holds a BA from the University of St. Gallen in Switzerland and an MSc in Accounting from the London School of Economics.In this episode, you will discover:How AI-native ERP systems like Rillet are revolutionizing general ledger operations.The process of automating complex accounting workflows with AI agents.Why finance leaders need to embrace AI and the practical steps to do so.The challenges and benefits of shifting from legacy systems to AI-driven platforms.How CFOs can leverage AI today, even without a dedicated tech team.Nicolas shared his journey from investment banking to leading Rillet, offering an inspiring look at how AI-native ERPs are transforming finance operations. His insights on automating workflows, achieving zero-day closes, and embracing AI-driven innovation provide essential guidance for finance leaders looking to stay ahead in the evolving landscape. This episode is a must-listen for professionals eager to drive change, innovate, and lead with purpose in the AI-powered future of finance.Follow Nicolas:LinkedIn - https://www.linkedin.com/in/nicolas-kopp/Website - https://www.rillet.com/Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[02:57] - What is an AI Native ERP?[06:41] - AI Agents and Workflow[09:15] - The Future of AI Agents with Autonomy[11:47] - The Story Behind the General Ledger[16:15] - The ERP Implementation Process[23:43] - CFO...

Join Miles Witt Boyer and Jared Mark Fincher on the Photographic Collective Podcast for a deep dive with acclaimed photographer and educator Tom Wright. In this conversation, Tom unpacks how to design a streamlined photography workflow that protects your creativity, enhances your client experience, and fuels long-term business growth. Whether you're shooting weddings, portraits, or commercial projects, you'll walk away with practical strategies to refine your process, market your brand, and deliver images that resonate long after delivery day.Follow & Connect:

In this episode of What's the Yap, Rachel Keller and I dive into the fast-growing world of AI agents, autonomous helpers that can manage everything from wardrobe choices to lead generation. Rachel shares her personal experience using AI to perfect her personal brand and streamline content creation, while Matt breaks down how he's building agents to power both his professional and personal life. They explore practical steps for creating your own agents, address concerns about over-reliance on AI, and share a vision for the future of digital assistants.Timestamps:01:02 – Welcome back & Rachel's AI obsession01:36 – The risks of over-relying on AI (inspired by Sam Altman)04:24 – How Rachel uses ChatGPT to choose outfits & design her home07:11 – Creating a personal stylist AI agent08:18 – Defining “AI agents” & how they run playbooks for you11:36 – Examples of agents for content creation, trend tracking & more15:18 – Live demo: ChatGPT suggests custom agents for Matt18:41 – Structuring agents like an AI “team”20:10 – Dream scenarios for agents (including laundry!)22:12 – Building agents for sales & marketing workflows26:49 – Other AI tools: Motion AI, Zapier & automation stacking29:13 – Concerns about brain power & over-dependence on AI31:57 – Guardrails for balanced living (apps like Opal)33:09 – Using AI for journaling & mental health34:12 – Audience call-to-action & show naming debate

What does it really look like when Agentic AI systems are integrated into some modern software teams? In this episode of the Mob Mentality Show, we sit down with David Hirschfeld—founder and CEO—to unpack real-world experiences with Agentic AI, prompt engineering, and workflow automation in dev environments. This is not a theoretical discussion. David brings firsthand stories of building and deploying AI-powered agents. We explore the hands-on challenges and breakthroughs that come with treating AI like a junior developer, giving it structured workflows, and designing systems that can improve with feedback. Highlights include: Is “prompt engineering” dead? What Agentic AI is doing right now to reduce busywork and boost flow and what are the current shortcomings  How AI agents can integrate with tools like Jira and Slack  The cultural shifts needed to make AI part of your agile team Pitfalls of over-reliance on AI and the importance of confidence thresholds (e.g., big bang AI slop vs. small batch AI with verified output)   How voice and vision AI are expanding what's possible in software development When to automate, when to augment, and when to stay manual The surprising power of “smart laziness” in engineering productivity Lessons from real teams automating their development processes Whether you're a dev, product manager, or just AI-curious, this episode offers a rare behind-the-scenes look at how agentic systems are being used today—not in the future—to transform engineering work. Video and Show Notes: https://youtu.be/cMhnIeGu3Js  

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Today's guest is Matthew Farahmand, Co-Founder at Inspira Systems. Founded in 2025,Founded in 2025, Inspira Systems helps businesses evolve by building intelligent, scalable solutions on ServiceNow. From streamlining customer service to optimizing retail operations, they design and deliver workflows that drive efficiency, automation and results. With a customer-first approach, Inspira Systems partners with your team to create and continuously improve tailored ServiceNow solutions that solve real business challenges.Matt brings over 20 years of IT and digital transformation experience, with expertise in application development, systems architecture, enterprise service management and customer experience transformation. He has led initiatives across Customer Service Management (CSM), Strategic Portfolio Management (SPM), Public Sector Digital Services (PSDS) and Retail Service and Operations Management (RSOM). Matt has a proven track record of building scalable solutions that reduce friction, accelerate outcomes and empower people.In the episode, Matthew discusses:How Inspira helps retailers optimise operations with RSOMWhy Retail needs unified platforms, not siloed task toolsHow RSOM cuts downtime, saves margins and boosts retail efficiencyStreamlining retail tasks and reporting with an Omni-channel RSOMHow delaying unified retail solutions drains profit and moraleRSOM enables fast, consistent recall responses across retail

Join me regularly as I dive deep into Nurse Practitioner workflow, entrepreneurship, wealth-building strategies, day trading insights, and invaluable resources specifically tailored for Nurse Practitioners and healthcare professionals ready to take charge of their financial future.✨ FREE PDFs Included: https://drive.google.com/drive/folders/1kSL6jTzabuFSleSIZNcJo6F4BG_qtd3n?usp=sharingPractical strategies for maximizing NP income

Cornell Keynotes brings together Keith Cowing, executive coach and lecturer in Cornell's MBA program, and Dan Van Tran, CTO of Collectors Holdings, to consider questions with huge consequences: What is AI doing to teams, talent, and labor? How can you leverage AI today to improve your product, your company, yourself, and your team? What happens if you don't and your competitors do?In a fast-moving conversation, Keith and Dan share how today's sharpest leaders are adopting AI-native workflows, collapsing the talent stack, stripping out middle management, and rewarding leaders and team members with multiple specialties.You'll come away with a concrete playbook to sharpen uniquely human skills, pair them with AI superpowers, and deliver the kind of exponential impact today's market demands.What You'll LearnHow AI is reshaping organizations, particularly in reducing middle management layers and favoring multi-skilled professionals who can work with AI toolsThe strategic importance of adopting AI-native workflows and the potential competitive disadvantages of delayed AI implementationHow to combine uniquely human capabilities with AI capabilities to dramatically increase productivity and create exceptional value Follow eCornell on Facebook, Instagram, LinkedIn, TikTok, and X.

Craig Limoli, Co-Founder and CEO of Wellsheet, is streamling workflows for clinicians by providing better access to patient data and improving care coordination across care teams.  Wellsheet is integrated into existing health records to provide a seamless experience to users and help to reduce "pajama time" for doctors by reducing the amount of end-of-the-day work needed to document patient encounters.  Wellsheet uses AI and natural language processing to surface the most relevant information for clinicians and generate documentation, reducing time spent and improving efficiency. Craig explains, "Wellsheet is a care team, co-pilot that serves physicians as well as other clinicians with better access to all of the data they need to make treatment decisions for patients, as well as easier coordination across the whole care team. So we're really designed as a company and as a product to support a broad array of clinicians, both physicians, nursing case managers, and surface the data most relevant to them in the way that they want to see it. We coordinate care across those multidisciplinary stakeholders in a way that is seamlessly embedded and integrated into the existing electronic health record systems to ultimately create a really seamless and cohesive experience for our users." "So our technology is embedded within Epic, Cerner, and other major EHRs. So physicians and other clinicians access it with the click of a button directly within their workflow in the EHR. They don't have to log in again, they don't have to reidentify the patient. It all feels like a native part of their EHR experience. And as soon as they click into Wellsheet, they are presented with a summarized view of the most relevant information from the entire patient's medical history and what pertains to that particular encounter, all in a single place."    #Wellsheet #ClinicalWorkflow #EHR #AI #ClinicalAI #MultidisciplinaryCare #PhysicianBurnout #DigitalHealth wellsheet.com Download the transcript here 

Craig Limoli, Co-Founder and CEO of Wellsheet, is streamling workflows for clinicians by providing better access to patient data and improving care coordination across care teams.  Wellsheet is integrated into existing health records to provide a seamless experience to users and help to reduce "pajama time" for doctors by reducing the amount of end-of-the-day work needed to document patient encounters.  Wellsheet uses AI and natural language processing to surface the most relevant information for clinicians and generate documentation, reducing time spent and improving efficiency. Craig explains, "Wellsheet is a care team, co-pilot that serves physicians as well as other clinicians with better access to all of the data they need to make treatment decisions for patients, as well as easier coordination across the whole care team. So we're really designed as a company and as a product to support a broad array of clinicians, both physicians, nursing case managers, and surface the data most relevant to them in the way that they want to see it. We coordinate care across those multidisciplinary stakeholders in a way that is seamlessly embedded and integrated into the existing electronic health record systems to ultimately create a really seamless and cohesive experience for our users." "So our technology is embedded within Epic, Cerner, and other major EHRs. So physicians and other clinicians access it with the click of a button directly within their workflow in the EHR. They don't have to log in again, they don't have to reidentify the patient. It all feels like a native part of their EHR experience. And as soon as they click into Wellsheet, they are presented with a summarized view of the most relevant information from the entire patient's medical history and what pertains to that particular encounter, all in a single place."    #Wellsheet #ClinicalWorkflow #EHR #AI #ClinicalAI #MultidisciplinaryCare #PhysicianBurnout #DigitalHealth wellsheet.com Listen to the podcast here 

Today's episode of the Punk CX podcast is with Rebecca Miller, Senior Product Strategy Manager in the customer service and sales automation division at Pega. Rebecca joined me on the podcast recently to talk about the recently announced Pega Self-Service Agent, the problem with the current solutions in the market, why Pega is taking a fundamentally different approach to self-service and why it's critical that these types of solutions leverage enterprise workflows. This podcast is sponsored by Pega. This interview follows on from my recent interview – Overcome incrementality by reimagining customer and agent experience – Interview with NiCE's CEO and Staysure's COO – and is number 550 in the series of interviews with authors and business leaders who are doing great things, providing valuable insights, helping businesses innovate and delivering great service and experience to both their customers and their employees.

Learn how to tackle unfamiliar PACS platforms, adjust to local workflow quirks, and stay organized while you find your rhythm in a new environment. Host Surbhi Raichandani, MD, provides this practical guide for navigating your first few weeks on the job.

In this episode, hosts Paul Barnhurst and Glenn Hopper discuss the latest updates in AI and how these advancements are impacting the finance sector. They explore the practical challenges that come with integrating AI into existing finance workflows and the real-world limitations of AI tools. The conversation covers new tools like Claude for financial services and the recent developments from OpenAI, while also delving into how AI can be used in financial modeling and analysis. The hosts also share their personal experiences, frustrations, and optimism about the future of AI, offering a balanced view of the excitement and challenges that come with these technologies.In this episode, you will discover:How Claude for Financial Services is changing AI in finance.Insights on OpenAI's agent rollout and its impact on the industry.The challenges of integrating AI into financial workflows, especially Excel.The practical limitations of AI in real-world finance applications.The future potential of AI tools and their role in financial decision-making.Paul and Glenn highlighted the potential of AI tools like Claude and OpenAI's agents in finance, stressing the importance of understanding their limitations. While these technologies offer exciting opportunities, integrating them effectively into existing workflows is key to realizing their value. The journey to fully harness AI in finance continues, and practical, cautious adoption will be crucial.Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:43] - Welcome to the Episode[01:09] - Claude for Financial Services[04:59] - OpenAI's $10 Million Model[06:41] - Integrating AI into Excel Workflows[11:56] - Maintaining Data Integrity in AI Models[13:37] - AI Integration via Spreadsheet Sidebars[16:10] - Testing Data Formats: CSV vs JSON for LLMs[21:59] - SNL Skit with Debbie Downer[24:54] - Closing Remarks

Feeling stuck, overwhelmed, and ready to burn your business to the ground? You're not alone. In this episode of The ADHD CEO Show, I'm sharing the raw story of how ADHD burnout almost made me walk away—and the 4 simple ADHD-friendly workflow shifts that turned everything around.Here's what you'll learn in this episode:What ADHD burnout really looks like (and why it's not laziness).The ADHD Cycle of Almost and how to break free from endless half-finished tasks.4 micro-shifts that save your energy and focus:The power of micro wins and how to create momentum in minutes.Using time anchors to get things done without rigid schedules.Visual timers and sprints that work with ADHD brains (not against them).Why one daily money-making task is non-negotiable for business success.How I built a business I love by creating systems that fit my ADHD brain.If you're tired of planners collecting dust, to-do lists that never get done, and constant burnout, this episode will show you how to start small, build momentum, and create workflows that actually stick.Resources & Links Mentioned in This Episode:DM me MEMBERSHIP on Instagram to learn more about my Focused & Free Membership or check it out here.Screenshot this episode, share to your stories, and tag me on IG (@socially.ausome)—I love hearing your takeaways!

Struggling with too many vocal takes? You nailed the perfect take, then recorded five more “just in case.” Now you're lost in a sea of options, wondering how to create the perfect comp without losing your mind.In this episode of Inside the Mix, Marc Matthews and Tim Benson (Aisle9) reveal their proven strategies for organising takes and building seamless vocal comps. Learn how to avoid over-recording, why comping during the editing phase keeps your mixing sessions stress-free, and the ideal number of takes before vocal fatigue hits.We'll cover:How to organise multiple takes efficiently in your DAWThe right way to edit without clicks or popsWhy real double-tracking beats any pluginHow to manage performance anxiety and red light syndromeWhether you're producing your music or working with artists, this episode gives you practical tools to streamline your workflow and get pro results, without the chaos.Links mentioned in this episode: We'd love to hear from you! Submit a questionListen to Paradise CoveSend me a message Support the showWays to connect with Marc: Book your FREE Music Breakthrough Strategy Call Radio-ready mixes start here - get the FREE weekly tips Grab exclusive access to BONUS content Follow Marc's Socials: Instagram | YouTube | Synth Music Mastering Thanks for listening!!

It's the 11th running of the Race For the Future in Fort Worth, TX on September 14, 2025. This is YOUR chance to make a difference in a industry we all love so much. Important links: All the money goes to The Foundation For Dental Laboratory Technology: https://dentallabfoundation.org/ All about the Race: https://dentallabfoundation.org/news-events/race-for-the-future/ Race website: https://fortworth.californiatriathlon.org/ TO DONATE: https://fdlt.memberclicks.net/donor-form#/ Select: Race for the Future Enter the name of the racer you want to support: BARB WARNER or THE CROWN JEWELS Enter the amount (One Million Dollars) August 14 & 15: PrograMill CAM Academy: A Hands-On Introduction to Digital Milling for Dental Professionals Ivoclar Academy – Amherst, NY : https://www.ivoclar.com/enca/course/programill-cam-academy-module-i-introduction/251438?utmsource=Email&utmmedium=Pardot&utmcampaign=Academy+Newsletter&utm_term=July This episode is featuring two conversations that Elvis and Barb got while in Gemany at the exocad booth at IDS 2025. First up is Paul Dowling & Jacqueline Ffrench who come from PD Ceramics (https://pdceramics.ie/) in Ireland. Paul grew up in a dental family and played in the shed in the backyard that was the lab. After attending lab school in London, Paul came back to Ireland and opened his own lab. Knowing teeth and not business, Paul recruits Jacqueline from a dental office to help. Jacqueline is good with business and saw the struggles in the lab and set out to make it a better place. Now she and Paul are starting to do it all over Ireland. Then from many miles away (at IDS it seems that way) we are joined by Thomas Baaske, the Global Technical Product Manager at Ivoclar (https://www.ivoclar.com/en_us) Vivadent AG. That means he oversees a lot of the digital materials and equipment for Ivoclar and there is a lot. Thomas talks about his lab background, being with Ivoclar for over 14 years, the evolution of the milled denture, their new inventory system, and the new Ivotion Based Printed denture (https://www.ivoclar.com/en_us/products/digital-processes/3d-printing-materials). Let's be honest. There are a LOT of zirconia on the market these days. How do you know which is which? Is one better than another? Is there one that can handle every situation? Check out a FREE webinar from Ivoclar (https://www.ivoclar.com/en_us) called Zirconia Unboxed with Jeff Smith, CDT. (https://www.ivoclar.com/en_us/course/zirconia-unboxed/246115?utm_source=External+-+Voice+from+the+Bench&utm_medium=QR+code&utm_campaign=Academy&utm_term=August) "This introductory webinar is the first in a five-part series designed to address the most frequently asked questions by dental labs when selecting zirconia for their restorations. With a focus on practical guidance, this session explores the key considerations in choosing the right zirconia, including material properties, esthetics, and processing techniques. This introductory webinar is the first in a five-part series designed to address the most frequently asked questions by dental labs when selecting zirconia for their restorations. With a focus on practical guidance, this session explores the key considerations in choosing the right zirconia, including material properties, esthetics, and processing techniques." Check it out at: https://www.ivoclar.com/enus/course/zirconia-unboxed/246115?utmsource=External+-+Voice+from+the+Bench&utmmedium=QR+code&utmcampaign=Academy&utm_term=August Special Guests: Jacqueline Ffrench, Paul Dowling , and Thomas Baaske.

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Mattress pros: Are you missing the #1 AI automation that's saving top retailers hours and thousands—without hiring extra staff? Discover it here.AI isn't just a buzzword—it's the tool transforming the mattress and sleep industry, from product imagery to customer engagement and beyond. In this episode, Mark Kinsley is joined by AI and automation experts from Presti.ai and Podium to reveal how sleep retailers are using next-gen automation to slash busywork, boost sales, and deliver the photo-realistic, emotion-driven customer experiences today's shoppers demand.If you've ever struggled with slow photoshoots, inconsistent customer replies, or missed-out reviews, this is your playbook. Learn the surprising truth about why generic AI tools like ChatGPT distort your product images, and how industry-specialized platforms like Presti.ai ensure your mattresses look real (and irresistible) in every context—at a fraction of the time and cost.You'll see real demos of batch automations, brand-specific AI training, and even API integrations that instantly turn a single product shot into dozens of high-converting lifestyle images. Plus, discover how Podium's AI handles customer questions 24/7, automates reviews, and turns five-star feedback into instant social proof—all without human error.Industry leaders share stories, hacks (like “prompt bossing”), and future-proof strategies you can use right now—whether you're a boutique retailer or a national chain. Ready to work smarter, not harder? Watch and join the AI-driven sleep revolution.Timestamps:**- 00:00 – The #1 AI secret mattress retailers are missing - 04:15 – How “prompt bossing” transforms your AI results overnight - 08:30 – Why most brands fail at AI imagery (and how to fix it) - 12:25 – The shocking cost difference: AI vs. traditional product photography - 15:45 – Instantly creating 4K lifestyle images for every customer segment - 18:10 – Automation at scale: Batch, custom AI, and API integrations explained - 22:30 – How Podium's AI turns every review into a sales machine - 27:00 – The automation workflow that posts five-star reviews to Facebook automatically - 33:05 – Real questions from retailers: Practical AI use case troubleshooting - 41:30 – Future-proofing your business: What's coming next in AI automationConnect with The FAM Podcast:

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Thu, 17 Jul 2025 13:45:00 GMT http://relay.fm/cortex/169 http://relay.fm/cortex/169 John Gruber – State of the Workflow 169 Myke Hurley Myke interviews John Gruber of Daring Fireball. They take a deep-dive into how John's writing takes shape – from capturing ideas and drafting articles to the meticulous editing behind his influential work. Myke interviews John Gruber of Daring Fireball. They take a deep-dive into how John's writing takes shape – from capturing ideas and drafting articles to the meticulous editing behind his influential work. clean 5543 Myke interviews John Gruber of Daring Fireball. They take a deep-dive into how John's writing takes shape – from capturing ideas and drafting articles to the meticulous editing behind his influential work. This episode of Cortex is sponsored by: Squarespace: Save 10% off your first purchase of a website or domain using code CORTEX. Fitbod: Get stronger, faster with a fitness plan that fits you. Get 25% off your membership. Sentry: Mobile crash reporting and app monitoring. Get 6 months of the Team plan free with code cortex. Guest Starring: John Gruber Links and Show Notes: Get Moretex – More Cortex, with no ads. Submit Feedback Daring Fireball Daring Fireball: The M4 iPad Pros MacBook Pro - Apple Studio Display - Apple Daring Fireball: Something Is Rotten in the State of Cupertino Getting Things Done - Wikipedia Field Notes Tot Markdown - Wikipedia Daring Fireball: Introducing Markdown Daring Fireball: Markdown The Enthusiast – Myke's New Blog This is how Apple rolls – John Gruber – Macworld The Talk Show Dithering Sandwich Daring Fireball: WWDC 2007 Keynote News Daring Fireball: Dive Into Markdown Daring Fireball: Internal Letter Circulates at Apple -- and Leaks to The Verge -- Pushing Back Against Returning to the Office Apple Extended Keyboard - Wikipedia tinkerBOY ADB Keyboard/Mouse to USB Converter ThinkPad Silent Bluetooth Mouse MarsEdit BBEdit John's Home Screen Daring Fireball: Kotoba: The Best iOS Dictionary App You've Never Heard Of Sequel Sofa Callsheet Tapestry NetNewsWire Ivory Things Sidekick Pocket

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/