Podcasts about Lagging

TLDR: It was Claude :-)When I set out to compare ChatGPT, Claude, Gemini, Grok, and ChatPRD for writing Product Requirement Documents, I figured they'd all be roughly equivalent. Maybe some subtle variations in tone or structure, but nothing earth-shattering. They're all built on similar transformer architectures, trained on massive datasets, and marketed as capable of handling complex business writing.What I discovered over 45 minutes of hands-on testing revealed not just which tools are better for PRD creation, but why they're better, and more importantly, how you should actually be using AI to accelerate your product work without sacrificing quality or strategic thinking.If you're an early or mid-career PM in Silicon Valley, this matters to you. Because here's the uncomfortable truth: your peers are already using AI to write PRDs, analyze features, and generate documentation. The question isn't whether to use these tools. The question is whether you're using the right ones most effectively.So let me walk you through exactly what I did, what I learned, and what you should do differently.The Setup: A Real-World Test CaseHere's how I structured the experiment. As I said at the beginning of my recording, “We are back in the Fireside PM podcast and I did that review of the ChatGPT browser and people seemed to like it and then I asked, uh, in a poll, I think it was a LinkedIn poll maybe, what should my next PM product review be? And, people asked for ChatPRD.”So I had my marching orders from the audience. But I wanted to make this more comprehensive than just testing ChatPRD in isolation. I opened up five tabs: ChatGPT, Claude, Gemini, Grok, and ChatPRD.For the test case, I chose something realistic and relevant: an AI-powered tutor for high school students. Think KhanAmigo or similar edtech platforms. This gave me a concrete product scenario that's complex enough to stress-test these tools but straightforward enough that I could iterate quickly.But here's the critical part that too many PMs get wrong when they start using AI for product work: I didn't just throw a single sentence at these tools and expect magic.The “Back of the Napkin” Approach: Why You Still Need to Think“I presume everybody agrees that you should have some formulated thinking before you dump it into the chatbot for your PRD,” I noted early in my experiment. “I suppose in the future maybe you could just do, like, a one-sentence prompt and come out with the perfect PRD because it would just know everything about you and your company in the context, but for now we're gonna do this more, a little old-school AI approach where we're gonna do some original human thinking.”This is crucial. I see so many PMs, especially those newer to the field, treat AI like a magic oracle. They type in “Write me a PRD for a social feature” and then wonder why the output is generic, unfocused, and useless.Your job as a PM isn't to become obsolete. It's to become more effective. And that means doing the strategic thinking work that AI cannot do for you.So I started in Google Docs with what I call a “back of the napkin” PRD structure. Here's what I included:Why: The strategic rationale. In this case: “Want to complement our existing edtech business with a personalized AI tutor, uh, want to maintain position industry, and grow through innovation. on mission for learners.”Target User: Who are we building for? “High school students interested in improving their grades and fundamentals. Fundamental knowledge topics. Specifically science and math. Students who are not in the top ten percent, nor in the bottom ten percent.”This is key—I got specific. Not just “students,” but students in the middle 80%. Not just “any subject,” but science and math. This specificity is what separates useful AI output from garbage.Problem to Solve: What's broken? “Students want better grades. Students are impatient. Students currently use AI just for finding the answers and less to, uh, understand concepts and practice using them.”Key Elements: The feature set and approach.Success Metrics: How we'd measure success.Now, was this a perfectly polished PRD outline? Hell no. As you can see from my transcript, I was literally thinking out loud, making typos, restructuring on the fly. But that's exactly the point. I put in maybe 10-15 minutes of human strategic thinking. That's all it took to create a foundation that would dramatically improve what came out of the AI tools.Round One: Generating the Full PRDWith my back-of-the-napkin outline ready, I copied it into each tool with a simple prompt asking them to expand it into a more complete PRD.ChatGPT: The Reliable GeneralistChatGPT gave me something that was... fine. Competent. Professional. But also deeply uninspiring.The document it produced checked all the boxes. It had the sections you'd expect. The writing was clear. But when I read it, I couldn't shake the feeling that I was reading something that could have been written for literally any product in any company. It felt like “an average of everything out there,” as I noted in my evaluation.Here's what ChatGPT did well: It understood the basic structure of a PRD. It generated appropriate sections. The grammar and formatting were clean. If you needed to hand something in by EOD and had literally no time for refinement, ChatGPT would save you from complete embarrassment.But here's what it lacked: Depth. Nuance. Strategic thinking that felt connected to real product decisions. When it described the target user, it used phrases that could apply to any edtech product. When it outlined success metrics, they were the obvious ones (engagement, retention, test scores) without any interesting thinking about leading indicators or proxy metrics.The problem with generic output isn't that it's wrong, it's that it's invisible. When you're trying to get buy-in from leadership or alignment from engineering, you need your PRD to feel specific, considered, and connected to your company's actual strategy. ChatGPT's output felt like it was written by someone who'd read a lot of PRDs but never actually shipped a product.One specific example: When I asked for success metrics, ChatGPT gave me “Student engagement rate, Time spent on platform, Test score improvement.” These aren't wrong, but they're lazy. They don't show any thinking about what specifically matters for an AI tutor versus any other educational product. Compare that to Claude's output, which got more specific about things like “concept mastery rate” and “question-to-understanding ratio.”Actionable Insight: Use ChatGPT when you need fast, serviceable documentation that doesn't need to be exceptional. Think: internal updates, status reports, routine communications. Don't rely on it for strategic documents where differentiation matters. If you do use ChatGPT for important documents, treat its output as a starting point that needs significant human refinement to add strategic depth and company-specific context.Gemini: Better Than ExpectedGoogle's Gemini actually impressed me more than I anticipated. The structure was solid, and it had a nice balance of detail without being overwhelming.What Gemini got right: The writing had a nice flow to it. The document felt organized and logical. It did a better job than ChatGPT at providing specific examples and thinking through edge cases. For instance, when describing the target user, it went beyond demographics to consider behavioral characteristics and motivations.Gemini also showed some interesting strategic thinking. It considered competitive positioning more thoughtfully than ChatGPT and proposed some differentiation angles that weren't in my original outline. Good AI tools should add insight, not just regurgitate your input with better formatting.But here's where it fell short: the visual elements. When I asked for mockups, Gemini produced images that looked more like stock photos than actual product designs. They weren't terrible, but they weren't compelling either. They had that AI-generated sheen that makes it obvious they came from an image model rather than a designer's brain.For a PRD that you're going to use internally with a team that already understands the context, Gemini's output would work well. The text quality is strong enough, and if you're in the Google ecosystem (Docs, Sheets, Meet, etc.), the integration is seamless. You can paste Gemini's output directly into Google Docs and continue iterating there.But if you need to create something compelling enough to win over skeptics or secure budget, Gemini falls just short. It's good, but not great. It's the solid B+ student: reliably competent but rarely exceptional.Actionable Insight: Gemini is a strong choice if you're working in the Google ecosystem and need good integration with Docs, Sheets, and other Google Workspace tools. The quality is sufficient for most internal documentation needs. It's particularly good if you're working with cross-functional partners who are already in Google Workspace. You can share and collaborate on AI-generated drafts without friction. But don't expect visual mockups that will wow anyone, and plan to add your own strategic polish for high-stakes documents.Grok: Not Ready for Prime TimeLet's just say my expectations were low, and Grok still managed to underdeliver. The PRD felt thin, generic, and lacked the depth you need for real product work.“I don't have high expectations for grok, unfortunately,” I said before testing it. Spoiler alert: my low expectations were validated.Actionable Insight: Skip Grok for product documentation work right now. Maybe it'll improve, but as of my testing, it's simply not competitive with the other options. It felt like 1-2 years behind the others.ChatPRD: The Specialized ToolNow this was interesting. ChatPRD is purpose-built for PRDs, using foundational models underneath but with specific tuning and structure for product documentation.The result? The structure was logical, the depth was appropriate, and it included elements that showed understanding of what actually matters in a PRD. As I reflected: “Cause this one feels like, A human wrote this PRD.”The interface guides you through the process more deliberately than just dumping text into a general chat interface. It asks clarifying questions. It structures the output more thoughtfully.Actionable Insight: If you're a technical lead without a dedicated PM, or you're a PM who wants a more structured approach to using AI for PRDs, ChatPRD is worth the specialized focus. It's particularly good when you need something that feels authentic enough to share with stakeholders without heavy editing.Claude: The Clear WinnerBut the standout performer, and I'm ranking these, was Claude.“I think we know that for now, I'm gonna say Claude did the best job,” I concluded after all the testing. Claude produced the most comprehensive, thoughtful, and strategically sound PRD. But what really set it apart were the concept mocks.When I asked each tool to generate visual mockups of the product, Claude produced HTML prototypes that, while not fully functional, looked genuinely compelling. They had thoughtful UI design, clear information architecture, and felt like something that could actually guide development.“They were, like, closer to, like, what a Lovable would produce or something like that,” I noted, referring to the quality of low-fidelity prototypes that good designers create.The text quality was also superior: more nuanced, better structured, and with more strategic depth. It felt like Claude understood not just what a PRD should contain, but why it should contain those elements.Actionable Insight: For any PRD that matters, meaning anything you'll share with leadership, use to get buy-in, or guide actual product development, you might as well start with Claude. The quality difference is significant enough that it's worth using Claude even if you primarily use another tool for other tasks.Final Rankings: The Definitive HierarchyAfter testing all five tools on multiple dimensions: initial PRD generation, visual mockups, and even crafting a pitch paragraph for a skeptical VP of Engineering, here's my final ranking:* Claude - Best overall quality, most compelling mockups, strongest strategic thinking* ChatPRD - Best for structured PRD creation, feels most “human”* Gemini - Solid all-around performance, good Google integration* ChatGPT - Reliable but generic, lacks differentiation* Grok - Not competitive for this use case“I'd probably say Claude, then chat PRD, then Gemini, then chat GPT, and then Grock,” I concluded.The Deeper Lesson: Garbage In, Garbage Out (Still Applies)But here's what matters more than which tool wins: the realization that hit me partway through this experiment.“I think it really does come down to, like, you know, the quality of the prompt,” I observed. “So if our prompt were a little more detailed, all that were more thought-through, then I'm sure the output would have been better. But as you can see we didn't really put in brain trust prompting here. Just a little bit of, kind of hand-wavy prompting, but a little better than just one or two sentences.”And we still got pretty good results.This is the meta-insight that should change how you approach AI tools in your product work: The quality of your input determines the quality of your output, but the baseline quality of the tool determines the ceiling of what's possible.No amount of great prompting will make Grok produce Claude-level output. But even mediocre prompting with Claude will beat great prompting with lesser tools.So the dual strategy is:* Use the best tool available (currently Claude for PRDs)* Invest in improving your prompting skills ideally with as much original and insightful human, company aware, and context aware thinking as possible.Real-World Workflows: How to Actually Use This in Your Day-to-Day PM WorkTheory is great. Here's how to incorporate these insights into your actual product management workflows.The Weekly Sprint Planning WorkflowEvery PM I know spends hours each week preparing for sprint planning. You need to refine user stories, clarify acceptance criteria, anticipate engineering questions, and align with design and data science. AI can compress this work significantly.Here's an example workflow:Monday morning (30 minutes):* Review upcoming priorities and open your rough notes/outline in Google Docs* Open Claude and paste your outline with this prompt:“I'm preparing for sprint planning. Based on these priorities [paste notes], generate detailed user stories with acceptance criteria. Format each as: User story, Business context, Technical considerations, Acceptance criteria, Dependencies, Open questions.”Monday afternoon (20 minutes):* Review Claude's output critically* Identify gaps, unclear requirements, or missing context* Follow up with targeted prompts:“The user story about authentication is too vague. Break it down into separate stories for: social login, email/password, session management, and password reset. For each, specify security requirements and edge cases.”Tuesday morning (15 minutes):* Generate mockups for any UI-heavy stories:“Create an HTML mockup for the login flow showing: landing page, social login options, email/password form, error states, and success redirect.”* Even if the HTML doesn't work perfectly, it gives your designers a starting pointBefore sprint planning (10 minutes):* Ask Claude to anticipate engineering questions:“Review these user stories as if you're a senior engineer. What questions would you ask? What concerns would you raise about technical feasibility, dependencies, or edge cases?”* This preparation makes you look thoughtful and helps the meeting run smoothlyTotal time investment: ~75 minutes. Typical time saved: 3-4 hours compared to doing this manually.The Stakeholder Alignment WorkflowGetting alignment from multiple stakeholders (product leadership, engineering, design, data science, legal, marketing) is one of the hardest parts of PM work. AI can help you think through different stakeholder perspectives and craft compelling communications for each.Here's how:Step 1: Map your stakeholders (10 minutes)Create a quick table in a doc:Stakeholder | Primary Concern | Decision Criteria | Likely Objections VP Product | Strategic fit, ROI | Company OKRs, market opportunity | Resource allocation vs other priorities VP Eng | Technical risk, capacity | Engineering capacity, tech debt | Complexity, unclear requirements Design Lead | User experience | User research, design principles | Timeline doesn't allow proper design process Legal | Compliance, risk | Regulatory requirements | Data privacy, user consent flowsStep 2: Generate stakeholder-specific communications (20 minutes)For each key stakeholder, ask Claude:“I need to pitch this product idea to [Stakeholder]. Based on this PRD, create a 1-page brief addressing their primary concern of [concern from your table]. Open with the specific value for them, address their likely objection of [objection], and close with a clear ask. Tone should be [professional/technical/strategic] based on their role.”Then you'll have customized one-pagers for your pre-meetings with each stakeholder, dramatically increasing your alignment rate.Step 3: Synthesize feedback (15 minutes)After gathering stakeholder input, ask Claude to help you synthesize:“I got the following feedback from stakeholders: [paste feedback]. Identify: (1) Common themes, (2) Conflicting requirements, (3) Legitimate concerns vs organizational politics, (4) Recommended compromises that might satisfy multiple parties.”This pattern-matching across stakeholder feedback is something AI does really well and saves you hours of mental processing.The Quarterly Planning WorkflowQuarterly or annual planning is where product strategy gets real. You need to synthesize market trends, customer feedback, technical capabilities, and business objectives into a coherent roadmap. AI can accelerate this dramatically.Six weeks before planning:* Start collecting input (customer interviews, market research, competitive analysis, engineering feedback)* Don't wait until the last minuteFour weeks before planning:Dump everything into Claude with this structure:“I'm creating our Q2 roadmap. Context:* Business objectives: [paste from leadership]* Customer feedback themes: [paste synthesis]* Technical capabilities/constraints: [paste from engineering]* Competitive landscape: [paste analysis]* Current product gaps: [paste from your analysis]Generate 5 strategic themes that could anchor our Q2 roadmap. For each theme:* Strategic rationale (how it connects to business objectives)* Key initiatives (2-3 major features/projects)* Success metrics* Resource requirements (rough estimate)* Risks and mitigations* Customer segments addressed”This gives you a strategic framework to react to rather than starting from a blank page.Three weeks before planning:Iterate on the most promising themes:“Deep dive on Theme 3. Generate:* Detailed initiative breakdown* Dependencies on platform/infrastructure* Phasing options (MVP vs full build)* Go-to-market considerations* Data requirements* Open questions requiring research”Two weeks before planning:Pressure-test your thinking:“Play devil's advocate on this roadmap. What are the strongest arguments against each initiative? What am I likely missing? What failure modes should I plan for?”This adversarial prompting forces you to strengthen weak points before your leadership reviews it.One week before planning:Generate your presentation:“Create an executive presentation for this roadmap. Structure: (1) Market context and strategic imperative, (2) Q2 themes and initiatives, (3) Expected outcomes and metrics, (4) Resource requirements, (5) Key risks and mitigations, (6) Success criteria for decision. Make it compelling but data-driven. Tone: confident but not overselling.”Then add your company-specific context, visual brand, and personal voice.The Customer Research WorkflowAI can't replace talking to customers, but it can help you prepare better questions, analyze feedback more systematically, and identify patterns faster.Before customer interviews:“I'm interviewing customers about [topic]. Generate:* 10 open-ended questions that avoid leading the witness* 5 follow-up questions for each main question* Common cognitive biases I should watch for* A framework for categorizing responses”This prep work helps you conduct better interviews.After interviews:“I conducted 15 customer interviews. Here are the key quotes: [paste anonymized quotes]. Identify:* Recurring themes and patterns* Surprising insights that contradict our assumptions* Segments with different needs* Implied needs customers didn't articulate directly* Recommended next steps for validation”AI is excellent at pattern-matching across qualitative data at scale.The Crisis Management WorkflowSomething broke. The site is down. Data was lost. A feature shipped with a critical bug. You need to move fast.Immediate response (5 minutes):“Critical incident. Details: [brief description]. Generate:* Incident classification (Sev 1-4)* Immediate stakeholders to notify* Draft customer communication (honest, apologetic, specific about what happened and what we're doing)* Draft internal communication for leadership* Key questions to ask engineering during investigation”Having these drafted in 5 minutes lets you focus on coordination and decision-making rather than wordsmithing.Post-incident (30 minutes):“Write a post-mortem based on this incident timeline: [paste timeline]. Include:* What happened (technical details)* Root cause analysis* Impact quantification (users affected, revenue impact, time to resolution)* What went well in our response* What could have been better* Specific action items with owners and deadlines* Process changes to prevent recurrence Tone: Blameless, focused on learning and improvement.”This gives you a strong first draft to refine with your team.Common Pitfalls: What Not to Do with AI in Product ManagementNow let's talk about the mistakes I see PMs making with AI tools. Pitfall #1: Treating AI Output as FinalThe biggest mistake is copy-pasting AI output directly into your PRD, roadmap presentation, or stakeholder email without critical review.The result? Documents that are grammatically perfect but strategically shallow. Presentations that sound impressive but don't hold up under questioning. Emails that are professionally worded but miss the subtext of organizational politics.The fix: Always ask yourself:* Does this reflect my actual strategic thinking, or generic best practices?* Would my CEO/engineering lead/biggest customer find this compelling and specific?* Are there company-specific details, customer insights, or technical constraints that only I know?* Does this sound like me, or like a robot?Add those elements. That's where your value as a PM comes through.Pitfall #2: Using AI as a Crutch Instead of a ToolSome PMs use AI because they don't want to think deeply about the product. They're looking for AI to do the hard work of strategy, prioritization, and trade-off analysis.This never works. AI can help you think more systematically, but it can't replace thinking.If you find yourself using AI to avoid wrestling with hard questions (”Should we build X or Y?” “What's our actual competitive advantage?” “Why would customers switch from the incumbent?”), you're using it wrong.The fix: Use AI to explore options, not to make decisions. Generate three alternatives, pressure-test each one, then use your judgment to decide. The AI can help you think through implications, but you're still the one choosing.Pitfall #3: Not IteratingGetting mediocre AI output and just accepting it is a waste of the technology's potential.The PMs who get exceptional results from AI are the ones who iterate. They generate an initial response, identify what's weak or missing, and ask follow-up questions. They might go through 5-10 iterations on a key section of a PRD.Each iteration is quick (30 seconds to type a follow-up prompt, 30 seconds to read the response), but the cumulative effect is dramatically better output.The fix: Budget time for iteration. Don't try to generate a complete, polished PRD in one prompt. Instead, generate a rough draft, then spend 30 minutes iterating on specific sections that matter most.Pitfall #4: Ignoring the Political and Human ContextAI tools have no understanding of organizational politics, interpersonal relationships, or the specific humans you're working with.They don't know that your VP of Engineering is burned out and skeptical of any new initiatives. They don't know that your CEO has a personal obsession with a specific competitor. They don't know that your lead designer is sensitive about not being included early enough in the process.If you use AI-generated communications without layering in this human context, you'll create perfectly worded documents that land badly because they miss the subtext.The fix: After generating AI content, explicitly ask yourself: “What human context am I missing? What relationships do I need to consider? What political dynamics are in play?” Then modify the AI output accordingly.Pitfall #5: Over-Relying on a Single ToolDifferent AI tools have different strengths. Claude is great for strategic depth, ChatPRD is great for structure, Gemini integrates well with Google Workspace.If you only ever use one tool, you're missing opportunities to leverage different strengths for different tasks.The fix: Keep 2-3 tools in your toolkit. Use Claude for important PRDs and strategic documents. Use Gemini for quick internal documentation that needs to integrate with Google Docs. Use ChatPRD when you want more guided structure. Match the tool to the task.Pitfall #6: Not Fact-Checking AI OutputAI tools hallucinate. They make up statistics, misrepresent competitors, and confidently state things that aren't true. If you include those hallucinations in a PRD that goes to leadership, you look incompetent.The fix: Fact-check everything, especially:* Statistics and market data* Competitive feature claims* Technical capabilities and limitations* Regulatory and compliance requirementsIf the AI cites a number or makes a factual claim, verify it independently before including it in your document.The Meta-Skill: Prompt Engineering for PMsLet's zoom out and talk about the underlying skill that makes all of this work: prompt engineering.This is a real skill. The difference between a mediocre prompt and a great prompt can be 10x difference in output quality. And unlike coding or design, where there's a steep learning curve, prompt engineering is something you can get good at quickly.Principle 1: Provide Context Before InstructionsBad prompt:“Write a PRD for an AI tutor”Good prompt:“I'm a PM at an edtech company with 2M users, primarily high school students. We're exploring an AI tutor feature to complement our existing video content library and practice problems. Our main competitors are Khan Academy and Course Hero. Our differentiation is personalized learning paths based on student performance data.Write a PRD for an AI tutor feature targeting students in the middle 80% academically who struggle with science and math.”The second prompt gives Claude the context it needs to generate something specific and strategic rather than generic.Principle 2: Specify Format and ConstraintsBad prompt:“Generate success metrics”Good prompt:“Generate 5-7 success metrics for this feature. Include a mix of:* Leading indicators (early signals of success)* Lagging indicators (definitive success measures)* User behavior metrics* Business impact metricsFor each metric, specify: name, definition, target value, measurement method, and why it matters.”The structure you provide shapes the structure you get back.Principle 3: Ask for Multiple OptionsBad prompt:“What should our Q2 priorities be?”Good prompt:“Generate 3 different strategic approaches for Q2:* Option A: Focus on user acquisition* Option B: Focus on engagement and retention* Option C: Focus on monetizationFor each option, detail: key initiatives, expected outcomes, resource requirements, risks, and recommendation for or against.”Asking for multiple options forces the AI (and forces you) to think through trade-offs systematically.Principle 4: Specify Audience and ToneBad prompt:“Summarize this PRD”Good prompt:“Create a 1-paragraph summary of this PRD for our skeptical VP of Engineering. Tone: Technical, concise, addresses engineering concerns upfront. Focus on: technical architecture, resource requirements, risks, and expected engineering effort. Avoid marketing language.”The audience and tone specification ensures the output will actually work for your intended use.Principle 5: Use Iterative RefinementDon't try to get perfect output in one prompt. Instead:First prompt: Generate rough draft Second prompt: “This is too generic. Add specific examples from [our company context].” Third prompt: “The technical section is weak. Expand with architecture details and dependencies.” Fourth prompt: “Good. Now make it 30% more concise while keeping the key details.”Each iteration improves the output incrementally.Let me break down the prompting approach that worked in this experiment, because this is immediately actionable for your work tomorrow.Strategy 1: The Structured Outline ApproachDon't go from zero to full PRD in one prompt. Instead:* Start with strategic thinking - Spend 10-15 minutes outlining why you're building this, who it's for, and what problem it solves* Get specific - Don't say “users,” say “high school students in the middle 80% of academic performance”* Include constraints - Budget, timeline, technical limitations, competitive landscape* Dump your outline into the AI - Now ask it to expand into a full PRD* Iterate section by section - Don't try to perfect everything at onceThis is exactly what I did in my experiment, and even with my somewhat sloppy outline, the results were dramatically better than they would have been with a single-sentence prompt.Strategy 2: The Comparative Analysis PatternOne technique I used that worked particularly well: asking each tool to do the same specific task and comparing results.For example, I asked all five tools: “Please compose a one paragraph exact summary I can share over DM with a highly influential VP of engineering who is generally a skeptic but super smart.”This forced each tool to synthesize the entire PRD into a compelling pitch while accounting for a specific, challenging audience. The variation in quality was revealing—and it gave me multiple options to choose from or blend together.Actionable tip: When you need something critical (a pitch, an executive summary, a key decision framework), generate it with 2-3 different AI tools and take the best elements from each. This “ensemble approach” often produces better results than any single tool.Strategy 3: The Iterative Refinement LoopDon't treat the AI output as final. Use it as a first draft that you then refine through conversation with the AI.After getting the initial PRD, I could have asked follow-up questions like:* “What's missing from this PRD?”* “How would you strengthen the success metrics section?”* “Generate 3 alternative approaches to the core feature set”Each iteration improves the output and, more importantly, forces me to think more deeply about the product.What This Means for Your CareerIf you're an early or mid-career PM reading this, you might be thinking: “Great, so AI can write PRDs now. Am I becoming obsolete?”Absolutely not. But your role is evolving, and understanding that evolution is critical.The PMs who will thrive in the AI era are those who:* Excel at strategic thinking - AI can generate options, but you need to know which options align with company strategy, customer needs, and technical feasibility* Master the art of prompting - This is a genuine skill that separates mediocre AI users from exceptional ones* Know when to use AI and when not to - Some aspects of product work benefit enormously from AI. Others (user interviews, stakeholder negotiation, cross-functional relationship building) require human judgment and empathy* Can evaluate AI output critically - You need to spot the hallucinations, the generic fluff, and the strategic misalignments that AI inevitably producesThink of AI tools as incredibly capable interns. They can produce impressive work quickly, but they need direction, oversight, and strategic guidance. Your job is to provide that guidance while leveraging their speed and breadth.The Real-World Application: What to Do Monday MorningLet's get tactical. Here's exactly how to apply these insights to your actual product work:For Your Next PRD:* Block 30 minutes for strategic thinking - Write your back-of-the-napkin outline in Google Docs or your tool of choice* Open Claude (or ChatPRD if you want more structure)* Copy your outline with this prompt:“I'm a product manager at [company] working on [product area]. I need to create a comprehensive PRD based on this outline. Please expand this into a complete PRD with the following sections: [list your preferred sections]. Make it detailed enough for engineering to start breaking down into user stories, but concise enough for leadership to read in 15 minutes. [Paste your outline]”* Review the output critically - Look for generic statements, missing details, or strategic misalignments* Iterate on specific sections:“The success metrics section is too vague. Please provide 3-5 specific, measurable KPIs with target values and explanation of why these metrics matter.”* Generate supporting materials:“Create a visual mockup of the core user flow showing the key interaction points.”* Synthesize the best elements - Don't just copy-paste the AI output. Use it as raw material that you shape into your final documentFor Stakeholder Communication:When you need to pitch something to leadership or engineering:* Generate 3 versions of your pitch using different tools (Claude, ChatPRD, and one other)* Compare them for:* Clarity and conciseness* Strategic framing* Compelling value proposition* Addressing likely objections* Blend the best elements into your final version* Add your personal voice - This is crucial. AI output often lacks personality and specific company context. Add that yourself.For Feature Prioritization:AI tools can help you think through trade-offs more systematically:“I'm deciding between three features for our next release: [Feature A], [Feature B], and [Feature C]. For each feature, analyze: (1) Estimated engineering effort, (2) Expected user impact, (3) Strategic alignment with making our platform the go-to solution for [your market], (4) Risk factors. Then recommend a prioritization with rationale.”This doesn't replace your judgment, but it forces you to think through each dimension systematically and often surfaces considerations you hadn't thought of.The Uncomfortable Truth About AI and Product ManagementLet me be direct about something that makes many PMs uncomfortable: AI will make some PM skills less valuable while making others more valuable.Less valuable:* Writing boilerplate documentation* Creating standard frameworks and templates* Generating routine status updates* Synthesizing information from existing sourcesMore valuable:* Strategic product vision and roadmapping* Deep customer empathy and insight generation* Cross-functional leadership and influence* Critical evaluation of options and trade-offs* Creative problem-solving for novel situationsIf your PM role primarily involves the first category of tasks, you should be concerned. But if you're focused on the second category while leveraging AI for the first, you're going to be exponentially more effective than your peers who resist these tools.The PMs I see succeeding aren't those who can write the best PRD manually. They're those who can write the best PRD with AI assistance in one-tenth the time, then use the saved time to talk to more customers, think more deeply about strategy, and build stronger cross-functional relationships.Advanced Techniques: Beyond Basic PRD GenerationOnce you've mastered the basics, here are some advanced applications I've found valuable:Competitive Analysis at Scale“Research our top 5 competitors in [market]. For each one, analyze: their core value proposition, key features, pricing strategy, target customer, and likely product roadmap based on recent releases and job postings. Create a comparison matrix showing where we have advantages and gaps.”Then use web search tools in Claude or Perplexity to fact-check and expand the analysis.Scenario Planning“We're considering three strategic directions for our product: [Direction A], [Direction B], [Direction C]. For each direction, map out: likely customer adoption curve, required technical investments, competitive positioning in 12 months, and potential pivots if the hypothesis proves wrong. Then identify the highest-risk assumptions we should test first for each direction.”This kind of structured scenario thinking is exactly what AI excels at—generating multiple well-reasoned perspectives quickly.User Story GenerationAfter your PRD is solid:“Based on this PRD, generate a complete set of user stories following the format ‘As a [user type], I want to [action] so that [benefit].' Include acceptance criteria for each story. Organize them into epics by functional area.”This can save your engineering team hours of grooming meetings.The Tools Will Keep Evolving. Your Process Shouldn'tHere's something important to remember: by the time you read this, the specific rankings might have shifted. Maybe ChatGPT-5 has leapfrogged Claude. Maybe a new specialized tool has emerged.But the core principles won't change:* Do strategic thinking before touching AI* Use the best tool available for your specific task* Iterate and refine rather than accepting first outputs* Blend AI capabilities with human judgment* Focus your time on the uniquely human aspects of product managementThe specific tools matter less than your process for using them effectively.A Final Experiment: The Skeptical VP TestI want to share one more insight from my testing that I think is particularly relevant for early and mid-career PMs.Toward the end of my experiment, I gave each tool this prompt: “Please compose a one paragraph exact summary I can share over DM with a highly influential VP of engineering who is generally a skeptic but super smart.”This is such a realistic scenario. How many times have you needed to pitch an idea to a skeptical technical leader via Slack or email? Someone who's brilliant, who's seen a thousand product ideas fail, and who can spot b******t from a mile away?The quality variation in the responses was fascinating. ChatGPT gave me something that felt generic and safe. Gemini was better but still a bit too enthusiastic. Grok was... well, Grok.But Claude and ChatPRD both produced messages that felt authentic, technically credible, and appropriately confident without being overselling. They acknowledged the engineering challenges while framing the opportunity compellingly.The lesson: When the stakes are high and the audience is sophisticated, the quality of your AI tool matters even more. That skeptical VP can tell the difference between a carefully crafted message and AI-generated fluff. So can your CEO. So can your biggest customers.Use the best tools available, but more importantly, always add your own strategic thinking and authentic voice on top.Questions to Consider: A Framework for Your Own ExperimentsAs I wrapped up my Loom, I posed some questions to the audience that I'll pose to you:“Let me know in the comments, if you do your PRDs using AI differently, do you start with back of the envelope? Do you say, oh no, I just start with one sentence, and then I let the chatbot refine it with me? Or do you go way more detailed and then use the chatbot to kind of pressure test it?”These aren't rhetorical questions. Your answer reveals your approach to AI-augmented product work, and different approaches work for different people and contexts.For early-career PMs: I'd recommend starting with more detailed outlines. The discipline of thinking through your product strategy before touching AI will make you a stronger PM. You can always compress that process later as you get more experienced.For mid-career PMs: Experiment with different approaches for different types of documents. Maybe you do detailed outlines for major feature PRDs but use more iterative AI-assisted refinement for smaller features or updates. Find what optimizes your personal productivity while maintaining quality.For senior PMs and product leaders: Consider how AI changes what you should expect from your PM team. Should you be reviewing more AI-generated first drafts and spending more time on strategic guidance? Should you be training your team on effective AI usage? These are leadership questions worth grappling with.The Path Forward: Continuous ExperimentationMy experiment with these five AI tools took 45 minutes. But I'm not done experimenting.The field of AI-assisted product management is evolving rapidly. New tools launch monthly. Existing tools get smarter weekly. Prompting techniques that work today might be obsolete in three months.Your job, if you want to stay at the forefront of product management, is to continuously experiment. Try new tools. Share what works with your peers. Build a personal knowledge base of effective prompts and workflows. And be generous with what you learn. The PM community gets stronger when we share insights rather than hoarding them.That's why I created this Loom and why I'm writing this post. Not because I have all the answers, but because I'm figuring it out in real-time and want to share the journey.A Personal Note on Coaching and ConsultingIf this kind of practical advice resonates with you, I'm happy to work with you directly.Through my pm coaching practice, I offer 1:1 executive, career, and product coaching for PMs and product leaders. We can dig into your specific challenges: whether that's leveling up your AI workflows, navigating a career transition, or developing your strategic product thinking.I also work with companies (usually startups or incubation teams) on product strategy, helping teams figure out PMF for new explorations and improving their product management function.The format is flexible. Some clients want ongoing coaching, others prefer project-based consulting, and some just want a strategic sounding board for a specific decision. Whatever works for you.Reach out through tomleungcoaching.com if you're interested in working together.OK. Enough pontificating. Let's ship greatness. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit firesidepm.substack.com

US President Trump said they would help on security with Ukraine, and he thought they were close to a deal.US President Trump said that it is going to start on land soon regarding Venezuela; the US is reportedly preparing to seize more ships transporting Venezuelan oil.European bourses are in the green whilst US equity futures are mixed, and with underperformance in the tech-heavy NQ as Broadcom falls 4.9% in post-earnings.DXY is a little firmer, GBP incrementally pressured on a poor UK GDP report.Global bonds are mildly pressured, scaling back recent upside.XAU continues to trend higher above USD 4300/oz; Copper pulling back from another ATH.Looking ahead, highlights include Fed's Paulson, Hammack, Goolsbee, Schmid & Miran.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

The latest State of Cancer report says treatments are better and death rates are falling - but we're crawling while other countries sprint. Te Aho o Te Kahu's Cancer Control Agency chief executive, Rami Rahal spoke to Corin Dann.

Jeremiah and Brandon DaCruz discuss how to build a body part specialization training phase.Chapters00:00 Reconnecting and Reflecting on Growth04:17 Understanding Weak Points in Training19:13 The Role of Specialization in Muscle Development27:01 Visual Analysis and Specialization in Training28:44 Demographic Considerations in Specialization30:31 Balancing Client Goals and Preferences32:40 Realistic Specialization: One or Two Muscle Groups?36:44 Frequency as a Driver for Muscle Growth43:40 Determining Training Frequency for Specialization47:30 Exercise Selection and Joint Health in SpecializationFollow Brandon on IG: https://www.instagram.com/brandondacruz_/?hl=enCheck out Brandon's podcast: https://podcasts.apple.com/us/podcast/chasing-clarity-health-fitness-podcast/id1619611966Keywordsbody parts specialization, training, weak points, coaching, muscle growth, frequency, volume, fitness podcast, hypertrophy, exercise selectionTo Apply For Coaching With Our Team: CLICK HERE

Denver's public transit agency RTD has had a rough couple of years. Almost a full year of track maintenance and slowdowns led to a nearly 20% decline in light rail ridership, but ridership across the network overall is down, too. With even more light rail maintenance expected in the next few years, RTD's budget is projected to hit multi-billion deficits in the early 2030s. So what's the plan to get back on track? And if the answer is more money, who will pay? RTD CEO and General Manager joins producer Paul Karolyi to discuss what she thinks the biggest problems are, her plan for the budget deficit, and what she does when her train is late.  Paul referenced Nate Minor's reporting for CPR about the senior leaders who left RTD in recent years and quoted the emailed statement Johnson shared with the Denver Post for this recent story. Johnson quoted some recent data on ridership numbers and talked about RTD's new tap-to-pay technology.  For even more news from around the city, subscribe to our morning newsletter Hey Denver at denver.citycast.fm. Follow us on Instagram: @citycastdenver Chat with other listeners on reddit: r/CityCastDenver Support City Cast Denver by becoming a member: membership.citycast.fm What do you think should be done to improve RTD? We want to hear from you! Would you pay higher sales taxes? Or would you prefer to pay more at parking meters? Or do you think RTD is going well enough as it is? Text or leave us a voicemail with your name and neighborhood, and you might hear it on the show: 720-500-5418 Learn more about the sponsors of this December 3rd episode: Warren Village The People Park Colfax Ave BID Multipass Ballpark Denver Looking to advertise on City Cast Denver? Check out our options for podcast and newsletter ads at citycast.fm/advertise

Likefolio's Andy Swan says Dollar Tree (DLTR) is in the right space ahead of earnings as consumers trade down. However, it is lagging Dollar General (DG) and Five Below (FIVE), which “is certainly troubling.” This is a company that is “trying to enact a turnaround,” and there are some signs of success, Andy says, but it might not be fast enough. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

John Giannandrea, Apple's (AAPL) A.I. chief, is stepping down and offering his seat to a former lead engineer for Alphabet's (GOOGL) Google Gemini. Marley Kayden notes this is the latest A.I. shakeup surrounding Apple, adding that the company is currently under the microscope when it comes to A.I. software developments. She talks about how Apple is "often late to the game" and ways it can still win the A.I. race. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

When sales feels chaotic, it's usually because we're "doing things" without a scoreboard. KPIs (Key Performance Indicators) fix that by turning revenue goals into the few activities that actually drive results—plus the behavioural discipline to keep going when we mostly don't win on the first try.  Q1) What are sales KPIs, and why do we need personal ones? Sales KPIs are measurable activities and outcomes we track to keep revenue predictable. Companies sometimes hand us a dashboard, but plenty of roles don't come with clear KPIs—especially in smaller firms, new markets, or when we're building a territory from scratch. That's where personal KPIs matter: they give us "markers" for what we're doing and what we should be doing.  The key is recognising we cannot do everything. We can only do the most important things—consistently. So we choose a handful of KPIs that reflect how our sales actually works (industry, deal size, sales cycle, channel), and we track them like a pilot checks instruments: not for perfection, but for control. Q2) Which KPIs actually move revenue (and which just make us feel organised)? A useful rule: track both leading and lagging indicators. Lagging indicators: results (revenue, closed deals, average deal size). They're essential, but they tell us after the period is over. Leading indicators: the activities that cause results (qualified leads worked, buyer conversations, meetings booked, proposals sent, follow-ups completed). The best personal KPIs are usually leading indicators that map to your funnel, like: How many qualified leads we work each week How many calls / outreach touches we make How many contacts turn into appointments How many appointments convert into agreed deals Our average value per appointment How many buyers become repeat buyers  If a KPI doesn't link to a funnel stage, it's probably a "busy metric." Q3) How do we turn a big revenue target into weekly KPIs we can actually execute? We reverse-engineer the number. Start with the revenue target, then work backwards through the funnel using realistic ratios. Example logic (use your own numbers, then refine over time): Target revenue per month Average deal size → required closed deals Closing ratio from meetings → required meetings Meeting-set rate from conversations → required buyer conversations Contact rate from outreach → required outreach attempts This is exactly the discipline of breaking "big revenue targets down to activities," then setting targets for the ratios between steps.  And we'll fail plenty at first. That's not a moral issue—it's just a data issue. After a few weeks, we'll have our conversion stats, not someone else's. Q4) What funnel ratios should we track—and what do we do when the ratios are ugly? Sales is a chain. If one link is weak, the outcome collapses. Track ratios between stages, for example: outreach attempts → conversations (contact rate) conversations → meetings (appointment rate) meetings → proposals proposals → closed deals (close rate) Over time we build "reliable statistics" showing where we're strong and where we're leaking deals.  If conversations aren't becoming meetings, that's usually messaging, relevance, credibility, or timing. If meetings aren't closing, that's discovery quality, stakeholder mapping, objection handling, procurement friction, or lack of urgency. The goal isn't to shame the numbers. The goal is to diagnose the system and improve one stage at a time—because a small lift in one ratio multiplies all the way down to revenue. Q5) How do we set KPI targets without kidding ourselves (and without burning out)? Use three levels: Comfortable range (you can hit this even on a rough week) Realistic stretch (hard but doable) Moonshot (for peak weeks, not every week)  Then we attach KPIs to time management. If the target is 200 quality touches a week, we schedule them like a workout plan—because hope is not a strategy. Also: behaviour matters. Sales can be "a diabolical art" where we fail a lot, so we need "supreme discipline" to do the activities anyway.  That means tracking basics like follow-up completion, pipeline hygiene in the CRM, and daily prospecting blocks—because motivation comes and goes, but systems stay. Q6) How do we adapt KPIs to reality (gatekeepers, Japan timing, and modern outreach)? Reality includes gatekeepers, voicemail, and the classic "they'll call you back" fantasy. We can have a long call list and still get nowhere, so we vary timing and channels.  Practical KPI upgrades: Track attempts by time band (early morning, lunch, after 6pm) because contact rates change by industry and role.  Track multichannel sequences (phone + email + LinkedIn + referral asks), not just "calls." In Japan, where trust and introductions often matter, track referral requests, warm intros, and second meetings as leading indicators—because relationship-building is a real part of the funnel, not "soft stuff." Weekly review: keep, kill, adjust. If we're not moving the ratios, we don't need more hustle—we need smarter inputs. About the Author (Credentials) Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across leadership, communication, sales, and presentation programs, including Leadership Training for Results.  Wrap-up Personal sales KPIs are our antidote to vague effort. We pick the few activities that drive the funnel, set ranges, measure ratios, and improve the weakest link. When we know the numbers, we stop guessing—and we start managing sales like a system.

11-19 Adam and Jordana 9a hour

Guy sits down with Karley Abramson, research associate for health policy, to talk about the seriously high level of poor health among Michiganders, a level showing increasing signs of further deterioration. Citizens Research Council just released exhaustive research, authored by Abramson, that drills down to root causes of why Michiganders suffer from worse health outcomes than residents in similar, neighboring states and even across the U.S. The paper, Social Determinants of Health: Pathways to a Healthier Michigan, clearly translates what Social Determinants of Health (SDOH) mean for Michiganders and how they directly affect the state's economy and our collective ability to prosper. Interconnectedness – All Policy is Health Policy This report unpacks SDOH by focusing on the evidence-based fundamental resources that are necessary for individual health: Financial Resources; Health Care; Food and Nutrition; Safety; and Social Support. Abramson explains that all the evidence and data point to two broad themes: the interconnectedness of the social determinants of health and the centrality of financial resources in the story of Michigan residents' lagging health outcomes. “In every area of public policy, there is a nexus to health and well-being,” the report notes. “The centrality of financial resources – education, employment, and income – is the story of Michigan's lagging health outcomes.”

In this episode of the Ayurveda Meets Modern Science podcast, host John Douillard, D.C., C.A.P., interviews Roy Upton on his continued involvement in herbal medicine and world healthcare system. Do you ever wonder why the U.S. seems so behind the rest of the world in integrating herbal and alternative care into our primary healthcare systems? Dr. John and Roy discuss political, cultural, and healthcare challenges facing integrative and natural medicine in the U.S. and on a global scale. The post Podcast Episode 162: Integrative Medicine – Why the U.S. is Lagging Behind with Roy Upton appeared first on John Douillard's LifeSpa.

Send us a textDescription: An immersive reading of "Hollow-Sounding and Mysterious" by Christina Rossetti with reflection on Grave's disease, hyperthyroidism, and hopelessness.Website:https://anauscultation.wordpress.comWork: "Hollow-Sounding and Mysterious"by Christina RossettiThere's no replyingTo the Wind's sighing,Telling, foretelling,Dying, undying,Dwindling and swelling,Complaining, droning,Whistling and moaning,Ever beginning,Ending, repeating,Hinting and dinning,Lagging and fleeting—We've no replyingLiving or dyingTo the Wind's sighing.What are you telling,Variable Wind-tone?What would be teaching,O sinking, swelling,Desolate Wind-moan?Ever for everTeaching and preaching,Never, ah neverMaking us wiser—The earliest riserCatches no meaning,The last who hearkensGarners no gleaningOf wisdom's treasure,While the world darkens :—Living or dying,In pain, in pleasure,We've no replyingTo wordless flyingWind's sighing.References:A Pageant and Other Poems (1881) https://books.google.com/books?id=9Sk-AAAAYAAJ&printsec=frontcover&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false  Arseneau M, Terrell E. “Our Self-Undoing”: Christina Rossetti's Literary and Somatic Expressions of Graves' Disease. Humanities. 2019; 8(1):57. https://doi.org/10.3390/h8010057https://www.thyroid.org/about-american-thyroid-association/history/clark-t-sawin-history-resource-center/thyroid-history-timeline/ 

EDITORIAL: Should we worry about lagging tourism? | Nov. 1, 2025Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribeVisit our website at [https://www.manilatimes.net](https://www.manilatimes.net/)Follow us:Facebook - https://tmt.ph/facebookInstagram - https://tmt.ph/instagramTwitter - https://tmt.ph/twitterDailyMotion - https://tmt.ph/dailymotionSubscribe to our Digital Edition - https://tmt.ph/digitalCheck out our Podcasts:Spotify - https://tmt.ph/spotifyApple Podcasts - https://tmt.ph/applepodcastsAmazon Music - https://tmt.ph/amazonmusicDeezer: https://tmt.ph/deezerStitcher: https://tmt.ph/stitcherTune In: https://tmt.ph/tunein#TheManilaTimes#VoiceOfTheTimes Hosted on Acast. See acast.com/privacy for more information.

In the Chisme Jackie played us audio from Fuerza Regida on Jimmy Falon + Cruz told us about A$AP Rocky delaying his album again. 

Likefolio's Megan Brantley sees divergence in the dollar store sector, with Dollar Tree (DLTR) losing out; customers prefer competitors from Dollar General (DG) to Amazon (AMZN). She previews their earnings and the holiday season and warns of “consistent weakness” in its operations. Megan also charts the stock over the last year against its web visits, a measure of purchase intent.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Why are breastfeeding rates in Northern Ireland lagging behind other regions? Are there societal barriers that prevent some women from doing it? Frank spoke to Dr Jennifer Hanratty from the Centre for Effective Services Hosted on Acast. See acast.com/privacy for more information.

Lagging well behind Reform in the polls and bruised by a series of defections, the Conservative Party was in low spirits as it gathered for its party conference.  So did party leader Kemi Badenoch answer her critics with that big stamp duty announcement? Will new Conservative policies win back voters? Do Mel Stride's spending pledges add up? And does any of this really make any difference at all?  YouGov's Patrick English joined the Inside Briefing team in Manchester to assess the state of the official opposition.    Presented by Hannah White. With Alex Thomas and Tom Pope. Produced by Milo Hynes. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dharma is a QHSES (Quality, Health and Safety, Environmental Systems) assurance professional with over 16 years of experience in developing and implementing quality management systems, conducting internal and external audits, performing detailed root cause analysis, risk management, KPI implementation, data analysis and driving continual improvement and digitalisation initiatives. He is a certified Lead Auditor for ISO 9001 and ISO 45001, a Lean Six Sigma Green Belt, and a Certified Key Performance Indicator Professional (C-KPI). Dharma has worked across diverse sectors including manufacturing, engineering services, and oil & gas, gaining deep insights into various industry tools and practices. His multi-sector exposure enhances his ability to tailor solutions to organisational needs. His recent article, “Building a KPI Framework,” was featured in Quality World Spring Magazine 2025, where he simplifies the application of KPIs using the Plan Do Check Act approach, offering practical examples applicable to any industry.He is passionate about quality excellence and continuously advancing systems to deliver measurable business value.

What if the biggest obstacles to AI innovation aren't what you think? Deeploy CEO Maarten Stolk shares his controversial but effective strategies for building successful AI products and ecosystems, challenging the common wisdom around bottom-up initiatives and regulation.In this episode, we cover:Why bottom-up initiatives fail without strong top-down vision.The surprising benefits of the EU's AI Act for innovation.How to build a thriving AI ecosystem from the ground up.The single most important metric for AI observability.This conversation is for tech leaders, founders, and engineers who want to move beyond AI experiments and build real-world, production-ready systems.Timestamps:00:00:00 - Intro00:00:45 - Why Maarten Started a Dutch AI Hub00:02:15 - The "Flywheel" Effect Crucial for AI Success00:04:42 - The Hard Truth: Why the Netherlands is Lagging in AI00:07:52 - A Controversial Take: The EU AI Act is Actually Good for Everyone00:11:26 - The Real Bottleneck to Innovation Isn't Regulation00:14:25 - From POC to Production: Why Top-Down Vision is Non-Negotiable00:17:13 - A Wake-Up Call for Inexperienced Leadership Teams00:20:30 - How Winning Companies Use AI to Dominate Their Market00:23:44 - The Right Way to Learn From Your Competitors00:27:30 - Maarten Outsourced Core Development to an AI Company00:31:59 - The #1 Metric You Must Track for AI Observability00:36:03 - Open-Source vs. Closed-Source: Which AI Model Will Win?00:40:23 - The Inevitable Crisis That Will Force Innovation00:42:19 - The Power of Having a Long-Term Personal Vision#AIStrategy #TechLeadership #Innovation

The latest MCAS test results were released, and it shows that Massachusetts students' test scores are still below pre-pandemic levels. The results showed that high schoolers fared worse on the MCAS than grades 3-8. This was the first year that high schoolers took the test knowing that a passing MCAS score is no longer a graduation requirement…which may be playing a role in the results. What can be done to reverse course and get those tests scores back up? Should we be worried?*Pedro Martinez, the Commissioner of the Massachusetts Department of Elementary and Secondary Education, denied our invitation to join the conversation.*

The latest MCAS test results were released, and it shows that Massachusetts students' test scores are still below pre-pandemic levels. The results showed that high schoolers fared worse on the MCAS than grades 3-8. This was the first year that high schoolers took the test knowing that a passing MCAS score is no longer a graduation requirement…which may be playing a role in the results. What can be done to reverse course and get those tests scores back up? Should we be worried?*Pedro Martinez, the Commissioner of the Massachusetts Department of Elementary and Secondary Education, denied our invitation to join the conversation.*

The BC government has announced nine million dollars in new funding to speed up homebuilding. However, delays remain an issue.   Read the full article here: https://www.coastalfront.ca/read/bc-awards-more-funding-support-for-local-home-building-despite-lagging-progress   PODCAST INFO:

Preview: Mary Kissel analyzes President Trump's UN speech condemning global migration, noting its resonance with European populist movements. She attributes Europe's lagging growth and AI deficit to excessive spending and regulation. 1906 BRUSSELS

Recent findings show that one-third of American high school seniors lack basic reading skills -- the lowest numbers in more than three decades. Could a shift to a more linguistics-centered educational approach help turn those numbers around? Plus, it's Hispanic Heritage Month, which means it's time again for the annual CineFest Latino Boston Film Festival. We speak with its founder and director along with two filmmakers whose documentary, "Comparsa," is kicking off the festival.

Apple (AAPL) has underperformed its Mag 7 peers primarily due to how investors view its A.I. positioning. Rick Ducat analyzes how Apple has recently hit a key resistance level where it struggled to break out of. He gives investors insight into other key levels and options activity to watch in sessions ahead.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Likefolio's Andy Swan shares sentiment data around Airbnb (ABNB), arguing that it is “lagging peers and under pressure.” The novelty has “worn off” for Airbnb and it has a “long way to go before any sort of turnaround is complete,” he adds. Fees, inconsistent experiences, and other factors are pushing travelers to hotels, while rivals like Vrbo take market share.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

The recap the week that was: Dizzle - big chill & saving cash & booking gigs! Killa - allergies won't stop his golfing activities! Kev - battling fall allergies & seeing Bruh Man! Sports Talk: Kawhi Leonard & The Clippers bending the rules, new NBA All-Star Game format, Melo, Dwight Howard, Mya Moore, and more are inducted into the Basketball Hall of Fame, Caitlin Clark out for the rest of the season. Eagles' Jalen Carter won't face suspension for spitting at Dak Prescott. Mike Tyson and Floyd Mayweather have agreed to fight. Canelo vs Crawford predictions. Entertainment: Lil Jon Takes 3rd Place at 2025 Muscle Beach Championship, NBA 2K has OFFICIALLY ANNOUNCED their College Basketball game dropping in early 2026, Young Thug speaks! Quick Hitters: Japan trials new drug that regrows human teeth - ending dentures and implants forever! KFC is collaborating with a candy company to release fried chicken, corn, and gravy flavored jelly beans! Plus, a video game update!

Welcome back to the show! In this episode, Steve discusses the ever-encroaching, ever-insidious power of life LAG. Now, what do we mean by LAG? Is this an AI thing? Something to do with computers? Not at all! LAG is an acronym for Laziness, Arrogance, and Greed; three life symptoms that most people suffer from in one form or another. But how do you recognize this affliction? Tune in now and let Steve guide you through the steps of learning to recognize when LAG is present in your life. Please remember that Steve is always one email away! Send your questions, comments, and concerns over to AskSteve@TotalWealthAcademy.com today!

Whales & Long-Term Holders Selling: Profit-taking by OG wallets is redistributing supply. Many are diversifying custody or rotating some BTC into ETFs for margin/borrowing flexibility.Seasonality Matters: Bitcoin weakness in August/September is common; thin liquidity + vacation season amplify dips.ETFs as Financial Rails: Institutions and wealthy holders prefer ETFs for cheaper margin rates compared to Bitcoin-backed loans.Retail vs OG Perspective: Whale trims feel like “dumping” to retail but are natural in Bitcoin's monetization process.Global Reserves Shift: For the first time since the 1990s, central banks hold more gold than U.S. Treasuries—de-dollarization in motion.Fed Politicization: The fight over Gov. Lisa Cook shows growing political pressure on the Fed under fiscal dominance.Fee FUD Dismissed: Low on-chain fees ≠ security crisis. Dynamic fee markets ensure resilience.Store of Value vs Medium of Exchange: False dichotomy—Bitcoin functions as both, but its SoV role dominates today.Bitwise Framework: 2035 scenarios debated: bear $88K, base $1.3M, bull ~$3M. Panel skeptical of the low-end case.Specter Association Launch: Swan transfers Specter to a new Swiss nonprofit. Yan Pritzker joins the board; roadmap now fully community-driven. Swan Private helps HNWI, companies, trusts, and other entities go beyond legacy finance with BItcoin. Learn more at swan.com/private. Put Bitcoin into your IRA and own your future. Check out swan.com/ira.Swan Vault makes advanced Bitcoin security simple. Learn more at swan.com/vault.

The headlines on the Wall Street Journal have been marvelling at the lack of inflationary pressure as a result of tariffs. The latest CPI announcement had the annualized rate at 2.7% against the backdrop of a weakening labor market. This is converging on the Fed's 2% target for inflation. We are looking at inflation because the Fed's interest rate policy is linked to balancing both price stability and maximizing employment. If inflation is too high, they raise rates in order to suppress demand. If unemployment is too high they lower rates to stimulate investment. Of course we know it is not just the rates which affect the economy, it's access to credit which is infinitely more important. We know that tariffs have been making headlines for most of this year. Tariffs have been in effect on a wide range of goods for many countries since April 1. There have been several delays to the implementation of tariffs which were designed to incentivize new trade deals with the US. Some of these have concluded and others like Canada and China are still in process. Last Friday the Producer Price Index was published and it showed that prices increase 0.9% for the month of July. That's a huge jump in a month. Is this all the result of tariffs? No. The services component of the PPI rose 1.1% and the goods component rose 0.7%. Tariffs are not the whole story. When I consider that companies need to maintain profitability, there are several ways they can do this. For example, retailers might hold the line on prices for goods that have tariffs attached to them. But I think the cost pressure from tariffs and the incentive to bring manufacturing to the US will have two effects.Any new manufacturing in the US will take time to implement. In the meantime, companies will have to find other ways to cut costs. If and when they do eventually bring new manufacturing to the US, it will be very highly automated to minimize the impact of higher wages in the US. With the advent of AI, manufacturers will be looking for ways to eliminate other positions in the company and reduce headcount to improve operating margins. The drive to save costs will accelerate the adoption of AI in companies and speed up the elimination of jobs. Strangely, this will have the opposite effect that the White House is hoping for. So if inflation ticks up as a result of tariffs, can the Fed do anything about it? The answer is a resounding NO. Raising interest rates won't make the tariffs go away. Increasing costs for businesses won't cause demand to fall enough to suppress prices. So the Fed would be rendered completely impotent to bring price stability from an artificial imposition of tariffs causing prices to increase. You see these economic models assume normal economic behaviour. But if the model doesn't explain the real situation on the ground, then at a certain point you have to abandon the computer simulation and look out the window to see what's happening.--------------**Real Estate Espresso Podcast:** Spotify: [The Real Estate Espresso Podcast](https://open.spotify.com/show/3GvtwRmTq4r3es8cbw8jW0?si=c75ea506a6694ef1)   iTunes: [The Real Estate Espresso Podcast](https://podcasts.apple.com/ca/podcast/the-real-estate-espresso-podcast/id1340482613)   Website: [www.victorjm.com](http://www.victorjm.com)   LinkedIn: [Victor Menasce](http://www.linkedin.com/in/vmenasce)   YouTube: [The Real Estate Espresso Podcast](http://www.youtube.com/@victorjmenasce6734)   Facebook: [www.facebook.com/realestateespresso](http://www.facebook.com/realestateespresso)   Email: [podcast@victorjm.com](mailto:podcast@victorjm.com)  **Y Street Capital:** Website: [www.ystreetcapital.com](http://www.ystreetcapital.com)   Facebook: [www.facebook.com/YStreetCapital](https://www.facebook.com/YStreetCapital)   Instagram: [@ystreetcapital](http://www.instagram.com/ystreetcapital)  

A Productivity Roundtable is underway in Canberra to see what can be done about it. One of the suggestions is to put a rocket under growth in regional cities. 

AP correspondent Ed Donahue reports sales are lagging at Starbucks.

EU: LAGGING IN THIRD PLACE FOR TECH INVESTMENT AND SCALE 1965 NSA IBM 370

Daniel Newman joins Diane King Hall at the NYSE set to talk about the Mag 7 after Alphabet (GOOGL) and Tesla (TSLA) showed mixed results. He doesn't see Tesla moving to the downside long-term even as EV sales plunge. The reason? Investors' bullish outlook on the company's growth in advancing tech like robotaxi and robotics. As for Alphabet, Daniel explains the "long-term bets" the company is making can be highly profitable if done right. He'll also keep a close eye on next week's jam-packed Mag 7 earnings slate, which includes Amazon (AMZN), Apple (AAPL), Meta Platforms (META) and Microsoft (MSFT).======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

BC Lagging on reform and better protections for kids in government care Guest: Jennifer Charlesworth, BC Children and Youth Representative Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Disruptors x CDL: The Innovation Era, hosts John Stackhouse, Senior VP of RBC, and Sonia Sennik, CEO of Creative Destruction Lab, dive into one of the most transformative technologies of our time: Artificial Intelligence. With the potential to revolutionize industries from healthcare to energy, AI is reshaping the global economy — and Canada is both a leader in research and a laggard in adoption.This week, Geoffrey Hinton, Professor at the University of Toronto, was awarded the Nobel Prize in Physics for his research in artificial intelligence that began in 1987.Join John and Sonia as they discuss Canada's AI ecosystem and the country's challenges in keeping pace with global AI adoption. They're joined by three visionary guests: Sheldon Fernandez, CEO of Darwin AI, Kory Mathewson, Senior Research Scientist at Google DeepMind, and Gillian Hadfield, a Schmidt Sciences AI2050 Senior Fellow. Together, they explore the opportunities and barriers in AI adoption, the creative applications of AI, and the role Canada must play in the future of AI.This episode is packed with insights for business leaders, policymakers, and anyone curious about how AI is changing our world. Whether you're an AI enthusiast or a skeptic, this episode will challenge your thinking on the role of technology in shaping the future.Tune in to learn how AI is both an opportunity and a responsibility, and how Canada can lead the charge in this new innovation era.Sign up to receive RBC Thought Leadership's newsletter, flagship reports and analysis on the forces shaping Canadian business and the economy.

How do you measure success by what you've achieved, or by who you've become in the process? In this inspiring episode of Secrets to Abundant Living, Amy Sylvis is joined by Tyler Chesser, real estate investor, entrepreneur, and co-founder of CF Capital, for a rich conversation about mindset, identity, and the real definition of abundance.Tyler shares how shifting from a scarcity-driven, survivalist perspective to a conscious, purpose-filled mindset changed not only his business trajectory but his entire life. From redefining what it means to "invest in yourself" to real-world stories of impact through real estate, this episode is a masterclass in living with intention. Whether you're rethinking your career path, facing entrepreneurial uncertainty, or just seeking a more aligned life, Tyler's insights will challenge and uplift you.Connect with Tyler Chesser:https://www.cfcapllc.com/https://www.linkedin.com/in/tyler-chesser-ccim-88a54325/Connect with Amy Sylvis:https://www.linkedin.com/in/amysylvis/Contact Us:https://www.sylviscapital.comhttps://www.sylviscapital.com/webinar0:00 Introduction00:36 Welcome to the Podcast01:46 Meet Tyler Chesser03:04 Tyler's Journey and Mindset08:13 Defining Abundance13:41 The Power of a Growth Mindset28:32 Real Estate Impact Stories32:42 Connecting with Tyler Chesser36:40 Closing Remarks

Starbucks (SBUX) is betting on a turnaround story under new CEO Brian Niccol, but Likefolio's Landon Swan is not so sure. With same-store sales down and margins under 7%, Swan believes the company's success hinges on regaining the customer experience it once had, but notes that's a "big ship to turn."======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Send us a textThe Pentagon's busy doing backflips to avoid picking a side in the Israel-Iran slugfest, while the U.S. military quietly scrambles tankers, evacuates families, and acts like $300 is enough to survive Naples, Italy. Meanwhile, Air Force tankers take center stage, hypersonic weapons get a reboot (because we're behind... again), and Space Force finally gets a toy that isn't just PowerPoint.Plus: AI flight scheduling, Normandy's long-overdue tribute, the F-35's never-ending upgrade saga, and why the Naval Academy's race-based admissions policy should've died long ago. Add some Trump, NATO posturing, and North Korean diplomacy (lol) for flavor. You'll either be informed, outraged, or both—so grab your pre-workout and dive in.

WATCH the video on Substack by clicking the play button above or on YouTube (here).STREAM audio only on Apple Podcasts (here), Spotify (here), or your favorite podcast player app.This week we will have some fun with Bloomberg charts as it relates to the crude oil macro. We noted in our The Good, The Bad, and The Misunderstood Amidst Major Macro Cross Currents written post from two weeks ago (here) that crude oil remains a critically important energy source albeit with conflicting cross currents that are both bullish (US shale maturity tailwinds) and bearish (China slowdown headwinds, OPEC+ supply increases). Whatever one's view of oil, it is still a huge driver of sentiment toward the energy sector and of course Energy's weighting in the S&P 500 is driven by the largest oil and gas companies like ExxonMobil, Chevron, etc. One thing is clear from all the charts, oil looks inexpensive to gold, copper, and refining margins and is at the low end of its recent band to Henry Hub natural gas and TTF. Oil is the big laggard and it is casting a pall on Energy's S&P 500 weighting, which has sunk back to a dismal 3% of the S&P 500 versus a Russia-Ukraine high of 5% and its pre-2015 range of 8%-12%. The question is whether oil and oil equities are values or value traps. As a spoiler alert, we are not sure we are actually going to be able to definitively answer that today, and the answer in part depends on one's time horizon. The short-term looks to be more challenging, whereas over the long run we do not believe “the end of oil” is anywhere near. To be clear, over the remainder of this decade, we are more optimistic on growth in power generation—US and global—natural gas demand and for that matter other power generation energy sources like solar + batteries and non-OECD coal. Equities favorably exposed to those trends should perform accordingly. But for the Energy sector broadly speaking to regain a much larger S&P weighing, oil is still the king.

Michael touched on how guys are taking too much pressure at the plate. Bryan Reynolds is hitting the ball on the ground a lot and Michael wonders if Reynolds is still dealing with a shoulder injury with his mechanics. Michael is a part of USA Baseball and both Japan and China has baseball teams playing very well and is growing because of players playing in MLB.

Hour 4 with Joe Starkey: Michael touched on how the Pirates are not doing the little things right and that guys are taking too much pressure at the plate. Michael is a part of USA Baseball and both Japan and China have baseball teams playing very well and is growing because of players playing in MLB. Kenny Pickett may be the Browns starting QB. The NFL is going to decide on if NFL players can play in the Olympics and it is going to pass. Should the United States dominate?

We're diving into a topic that separates struggling practices from high-performing ones—your front desk metrics. Dana and Sandy break down the most important KPIs your admin team should be tracking daily, weekly, and monthly. Spoiler alert: if you're not measuring it, you can't manage it! Whether you're brand new to tracking stats or need a refresh to re-energize your team, this episode gives you simple, actionable ways to bring structure and accountability to your schedule, collections, and patient flow. You'll learn how to: ✅ Track leading and lagging indicators ✅ Set realistic goals that don't overwhelm your team ✅ Empower employees to “own” their numbers ✅ Reduce cancellations and no-shows ✅ Create a consistent system for growth—without expensive software

Norwegian Cruise Line (NCLH) came up a little short in its 1Q earnings report. Steven E. Orr says overall cruise ships are doing well right now, and points to the earnings beat from Royal Caribbean (RCL). For NCLH, he likes their adjustments in fleet ownership but says cash on hand is lower than RCL which could be a concern. Steven likes the industry trend in targeting repeat cruise customers and looking for cost-cutting in its energy usage.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

Hour 1: Stephen A. Smith, Brian Windhorst and Kendrick Perkins are back on First Take to discuss the full weekend of NBA Playoff Action! How can the Lakers recover after falling behind 3-1? Did the Pistons deserve to win Game 4 against the Knicks? All right here on First Take! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Big Pharma pays billions for direct-to-consumer TV drug ads—is it time to ban them? Focused ultrasound obliterates liver tumors with minimal side effects; Nurse tricks woman into believing she's dying of cancer to cash in on her $1.5 million life insurance policy; Arizona bans insurance denial by AI automated systems; Study overturns view that very low-carb diets are bad for kidney disease patients; Strategies for reviving a lagging thyroid.

Welcome back to the Athletic Motion Golf Podcast, where Fact Meets Fairway! In this final installment of our Top 10 Most Common Swing Mistakes, Mike Granato and Shaun Webb tackle a major issue that sneaks into so many amateur swings—elbow lagging.Many golfers mistakenly believe that holding their trail arm bend deep into the downswing will create more lag and power. However, this move actually disrupts sequencing, steepens the downswing, and robs players of effortless speed. Mike and Shaun break down the true mechanics of right arm movement, why tour pros actually straighten their trail arm as they transition, and how misconceptions about "holding lag" lead to major swing faults.You'll also hear insights from some of the world's top coaches, including Scott Hamilton, and why understanding how the trail arm moves correctly can instantly improve your ball striking.Looking for expert feedback on your swing? Join The Matrix, Athletic Motion Golf's premier online training platform, where you'll get personalized coaching from Mike and Shaun. Visit athleticmotiongolf.com to get started!If you're enjoying the podcast, please leave a 5-star rating and written review—it helps us reach more golfers like you. And don't forget to share this episode with your golf buddies (unless you want to keep the advantage for yourself)!

To many, it feels like a moment of significant acceleration. We're getting a new model every few days, major advances in agents, and generally there's a sense of things getting faster. And yet, not everything is moving in lock-step. NLW breaks down what in AI is moving faster than expected, vs what's moving slower.Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlwThe Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

According to a new report from the Portland Metro Chamber, foot traffic in the central city is still down -21% compared to 2019. On top of that, the region lost nearly 10,000 jobs and has continued to lose population. Andrew Hoan, president and CEO of the Portland Metro Chamber, joins us to talk through the report, and what he thinks is needed to help downtown Portland thrive.