Podcasts about phasing

This episode introduces the new NBAA Standard Operating Procedures (SOP) Manual and why it's a big deal for business aviation. Dylan and Max are joined by Brian Small of FlightSafety International and Tim Schoenauer of CAE to explain how the manual was developed, who it's for, and how operators can actually use it—not just shelf it. They break down the regulatory intent, training implications, and where this fits into real-world Part 91 and 135 operations. If you've ever wondered what "good SOPs" are supposed to look like, this is the starting point. Download the New NBAA SOP Manual Manual (no login required, just share contact information) Connect with Tim Schoenauer in LinkedIn Connect with Brian Small on LinkedIn Show Notes 0:00 Intro 1:46 The Start of Standardization 14:59 What's an SOP Guide? 19:08 Benefits of Standardization 32:04 Already Have an SOP? 34:36 Phasing into Training 43:19 Recommendations Going Forward Our Sponsors Tim Pope, CFP® — Tim is both a CERTIFIED FINANCIAL PLANNER™ and a pilot. His practice specializes in aviation professionals and aviation 401k plans, helping clients pursue their financial goals by defining them, optimizing resources, and monitoring progress. Click here to learn more. Also check out The Pilot's Portfolio Podcast. Advanced Aircrew Academy — Enables flight operations to fulfill their training needs in the most efficient and affordable way—anywhere, at any time. They provide high-quality training for professional pilots, flight attendants, flight coordinators, maintenance, and line service teams, all delivered via a world-class online system. Click here to learn more. Raven Careers — Helping your career take flight. Raven Careers supports professional pilots with resume prep, interview strategy, and long-term career planning. Whether you're a CFI eyeing your first regional, a captain debating your upgrade path, or a legacy hopeful refining your application, their one-on-one coaching and insider knowledge give you a real advantage. Click here to learn more. The AirComp Calculator™ is business aviation's only online compensation analysis system. It can provide precise compensation ranges for 14 business aviation positions in six aircraft classes at over 50 locations throughout the United States in seconds. Click here to learn more. Vaerus Jet Sales — Vaerus means right, true, and real. Buy or sell an aircraft the right way, with a true partner to make your dream of flight real. Connect with Brooks at Vaerus Jet Sales or learn more about their DC-3 Referral Program. Harvey Watt — Offers the only true Loss of Medical License Insurance available to individuals and small groups. Because Harvey Watt manages most airlines' plans, they can assist you in identifying the right coverage to supplement your airline's plan. Many buy coverage to supplement the loss of retirement benefits while grounded. Click here to learn more. VSL ACE Guide — Your all-in-one pilot training resource. Includes the most up-to-date Airman Certification Standards (ACS) and Practical Test Standards (PTS) for Private, Instrument, Commercial, ATP, CFI, and CFII. 21.Five listeners get a discount on the guide—click here to learn more. ProPilotWorld.com — The premier information and networking resource for professional pilots. Click here to learn more.   Feedback & Contact Have feedback, suggestions, or a great aviation story to share? Email us at info@21fivepodcast.com. Check out our Instagram feed @21FivePodcast for more great content (and our collection of aviation license plates). The statements made in this show are our own opinions and do not reflect, nor were they under any direction of any of our employers.

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

Columnist and film critic Richard Roeper joins Bob Sirott to discuss how AT&T is ending their landline service to customers and how some similar tech has phased out, like answering machines and phone booths. He also talks about some of the coldest Bears games in past years and if they would stay for the whole […]

Local retailers request more federal guidance on phasing out the penny -- Sutherland Institute's Defending Ideas: The map that changed Utah

Negotiations for peace between Russia and Ukraine, the ECFA's new policy, and the end of the U.S. penny. Plus, Andrew Walker on the Nuremberg trials, the ocean's ultimate freeloaders, and the Tuesday morning newsSupport The World and Everything in It today at wng.org/donateAdditional support comes from WatersEdge. Save more. Do more. Give more. Helping Christians support ministry by giving through a donor-advised fund. watersedge.com/DAFAnd from Ambassadors Impact Network. Helping entrepreneurs with a purpose find the support they need to thrive with faith-aligned financing options. More at ambassadorsimpact.com

Can Canada build another oil pipeline AND hit climate targets? PM Mark Carney says yes. But some see the new energy deal between Ottawa and Alberta as a climate pivot by the federal government. While Canada tries to be a climate leader and pump out more oil at the same time, at least two dozen other countries – including Colombia – are now getting serious about weaning off fossil fuels.

How does PlayStation run real time at massive scale. I sat down with Bahar Pattarkine from PlayStation the team to unpack how they use Apache Flink across telemetry and player experiences.What we covered:-- Why they chose Flink and what problem it solved first-- Running 15,000+ events per second, launch peaks, regional latency SLOs, and avoiding hot partitions across titles-- Phasing the move from Kafka consumers to a unified Flink pipeline without double processing during cutover-- How checkpointing and async I/O keep latency low during spikes or failures-- Privacy controls and regional rules enforced in real time-- What Flink simplified in their pipelines and the impact on cost and ops#data #ai #streaming #Flink #Playstation #Ververica #realtimestreaming #theravitshow

3 - ‘A green light for the phasing out of cash in Australia' by Australian Citizens Party

For the past month, Kiwis have been able to have their say on proposals to change our telecommunications sector. Minister for Regulation David Seymour has said that these services are “as essential as power and water” and that “changing the way the sector is regulated will affect almost every Kiwi”. Changes could include introducing a consumer code, replacing or phasing out the current obligation framework, and “getting rid of obsolete rules”. But, what does that all mean? And do enough New Zealanders know how these changes could affect our everyday lives? Today on The Front Page, tech commentator Bill Bennett is with us to dive into the recommendations, and why consumers should care about how their connectivity is regulated. Follow The Front Page on iHeartRadio, Apple Podcasts, Spotify or wherever you get your podcasts. You can read more about this and other stories in the New Zealand Herald, online at nzherald.co.nz, or tune in to news bulletins across the NZME network. Host: Chelsea DanielsEditor/Producer: Richard MartinProducer: Jane YeeSee omnystudio.com/listener for privacy information.

The Indiana General Assembly passed a bill to reform property taxes back in April. If the legislature makes no changes — a big if — we know what's going to happen each year until 2031. Purdue ag economist, Larry DeBoer, predicts what the next six years of property taxes could look like.

Sean Tumilson and co-host Chuck the Bot talk through Chuck's climate-related policy plan if he were in the White House. Learn what Chuck has to say about:-Phasing out gas cars for EVs-Making fossil fuels irrelevant-Mars explorationThis is the third in a multi-chapter series. Check out the first two episodes on economy and healthcare if you haven't already, and stay tuned for immigration tomorrow.If you enjoy this daily show, tap ‘Follow' on Spotify or Apple Podcasts so you never miss an episode. And leave us a quick rating — it really helps others discover KeepTalking.

In today’s deep dive, students across Illinois will soon head back to class. But one college in our state is phasing out ten majors.

Episode SummaryI share my recent experience of phasing out all coffee and tea from my diet in a radical attempt to calm down..Show Notes Pagejeffsanders.com/589xp.Go Premium!Exclusive bonus episodes, 100% ad-free, full back catalog, and more!Free 7-Day Trial of 5 AM Miracle Premium.Perks from Our SponsorsSee current deals from sponsors of The 5 AM Miracle.Learn More About The 5 AM MiracleThe 5 AM Miracle Podcast.Free Productivity Resources + Email Updates!Join The 5 AM Club!.The 5 AM Miracle BookAudiobook, Paperback, and Kindle.Connect on Social MediaLinkedIn • Facebook Group • Instagram.About Jeff SandersRead Jeff's Bio.Questions?Contact Jeff.© 5 AM Miracle Media, LLC.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In a historic move, the FDA has taken the first steps to phase out animal testing in research. Though it's been a requirement for new drug development for decades, there are other, more accurate methods that the FDA wants to move forward with. Elizabeth Baker, Esq. discusses these new methods and the emerging technology helping to remove animal testing from all drug research. Learn More: https://radiohealthjournal.org/the-fda-is-vegan-why-the-agency-is-phasing-out-animal-testing Learn more about your ad choices. Visit megaphone.fm/adchoices

00:00-15:07 Intro/ Last 72 15:08-20:42 Army Phasing Out Ceremonial Horses 20:43-24:46 Hunter Biden Dropping Names 24:47-35:00 Task Force Muleskinner Memorandum 35:01-43:09 Harvard American Service Fellowship 43:10-49:15 How To Determine College Rooting Interests 49:16-01:01:48 Post Show DiscussionYou can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/ZeroBlog30

Nobody wants to touch pricing. It's political, it's messy, and if it goes wrong, everyone remembers who led the project. But here's the thing—when it works, it really works.In this episode, Toni and Raul talk about why pricing changes freak people out, what actually happens when you go through with them, and how even small tweaks can drive serious revenue. They've both run pricing projects that paid off big, and they've got the scars to prove it.If pricing's been on your to-do list forever but you keep punting it… this one's for you.(00:00) - Introduction (01:36) - The dread of pricing changes (04:29) - Balancing new prices and losing customers (05:53) - Lead pricing changes without losing your job (08:55) - Who should own pricing changes? (10:10) - Creating a pricing steering committee (12:38) - Consultants in pricing projects (17:00) - Are we over complicating it? (19:44) - Churn and pricing relationship (25:02) - The external and internal narrative (29:47) - Phasing pricing changes (31:10) - Pricing moves in PLG (32:59) - Conclusion

In this Lethal Incursions 2v2 brawl, Kate Pryde and Reptil face off against the powerhouse duo of Kingpin and Laura Kinney. Phasing precision meets primal fury, but can it stand up to brute strength and berserker rage? The battlefield erupts as strategy and savagery collide—only one team walks away standing.   Facebook Group: https://www.facebook.com/groups/1628612284256101/   Instagram: https://www.instagram.com/leagueofmelanatedgentlemanpod/   YouTube: https://www.youtube.com/@TheLMGPodcast   Hosts: Jordan Mitchell

If it's not obvious, Carl is Erin McNeice's dad and I'm so thrilled to get a parent perspective on the podcast. In this episode, we'll learn about the family's dedication and honest approach to building Erin's climbing career, how much it cost to support the training and travel of an athlete, why he's no longer allowed to watch her comps in person, and get adorable dad-anecdotes from the Olympics.Guest links:Carl's InstagramReference links:Erin's EpisodeBudapest Olympic Qualifier Stress(Buzzed) Eurosport interviewHorsin Around Quest for 8CThank you Mad Rock for sponsoring this episode! Use code 'notrealclimber' for 10% off your ENTIRE order, even if you're a returning customer! https://madrock.com/Learn more about the podcast at www.thatsnotrealclimbingpodcast.comFollow on Instagram at https://www.instagram.com/thatsnotrealclimbingpodcastJoin the FREE community in Discord! https://discord.gg/QTa668g8zpJoin Patreon for a welcome gift, deleted scenes, and question priority: www.patreon.com/thatsnotrealclimbingpodcastTimestamps of discussion topics0:00 - Intro1:19 - Mad Rock Shoutout!!2:06 - Returning from Innsbruck5:44 - Carl's climbing and gymnastics background10:47 - Getting involved in competition climbing15:57 - When to push vs when to back off22:43 - The cost of being a comp parent28:32 - Sudden rise between the 2023-2024 season33:59 - Erin's intense training schedule38:37 - Phasing out of Erin's training routine42:53 - Not being allowed to watch the comps in person48:06 - The stress of watching your child compete54:38 - Most stressful competition to watch58:35 - The Olympics experience1:06:13 - Thoughts on dangerous setting1:16:55 - DISCORD Q: How does having a comp kid influence the family dynamic?1:20:02 - DISCORD: How to avoid good results = good vibes only1:25:31 - DISCORD Q: Do you approve shots of yourself on Erin's Youtube channel :p1:27:41 - DISCORD Q: How does it feel to be a worse climber than your child?1:30:49 - Words of wisdom

In February this year BP announced it was cutting its investment in green energy ventures from $5B to $2B while reallocating $10B to fossil fuels, and abandoning its 2030 oil output reduction target. Shell has also scrapped its planned 20% carbon reduction cut for 2030. It's not a good display of intent from the perspective of the energy transition. In a highly volatile and uncertain policy environment it's troubling for investors and clean energy developers. The prioritisation of short-term profit at the expense of long-term climate impact has many implications.To find out, host Sylvia Leyva Martinez is joined by private investor Ben Dell, Managing Partner at Kimmeridge. He says that while “everyone wants low-cost energy on demand with a minimal carbon footprint, every dollar invested has to be cost-competitive. Philanthropy is not an investing strategy.” What does that mean in the context of clean energy deployment?Plus, Wood Mac analyst Tom Ellacott joins the show to look at the outlook for oil and gas in light of the news from the majors. As he sees it, gas is a growth fuel for the next 20 - 30 years and the most optimal power delivery system is still renewables paired with small-scale batteries and natural gas. So why are major energy providers flip-flopping with their strategies when this is widely accepted?The key questions are: how are oil and gas majors adjusting their capital allocation between fossil fuels and renewables? What's the role of natural gas in the transition? And how should investors navigate volatility and uncertainty in energy markets? You'll get the answers here.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Phasing into retirement can be a scary life transition. But, it doesn't have to be at all. In fact, with a comprehensive financial plan and some discussion, you might be surprised how confident you will be pulling the trigger. On this episode, Karl discusses how retirement expenses can drastically fall without compromising lifestyle. Show Topics Retirement Expenses Taxes Savings Tariffs  

In this episode, Warren Ingram and Pieter de Villiers discuss the challenges and strategies associated with achieving financial freedom, particularly during market downturns. Talking through the psychological aspects of investing, the importance of planning for withdrawals during retirement, and the need to find purpose and income post-retirement.TakeawaysAchieving financial freedom can be daunting during market downturns.Panic selling is one of the worst mistakes investors can make.Understanding psychological responses to loss can help in decision-making.Markets typically experience fluctuations; this is normal.Controlling expenses during retirement can help manage financial stress.Finding purpose post-retirement is crucial for emotional well-being.Investing in a balanced portfolio is essential for long-term success.Phasing investments during volatile markets can mitigate risks.Having a cash buffer can provide security during market corrections.Emotional management is key to successful investing. Learn more about 10X Investments today: https://bit.ly/4hiEscGSend us a textReal Talk About MarketingAn Acxiom podcast where we discuss marketing made better, bringing you real...Listen on: Apple Podcasts SpotifyHave a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

GUESTS:Boris Bytensky - Newstalk 1010 Legal Analyst, Criminal lawyer with crimlawcanada.com and President of the Criminal Lawyers AssociationMarvin Ryder - associate professor at the Degroote school of business at McMaster UniversityGord Stellick - Canadian sports broadcaster Steve Ryan - CP24 Crime Specialist and former homicide detective

If you'd like your question answered on next month's episode, call/text 469-213-6381 and leave us a voicemail/text.This month, we were joined by Rob Gelb in his office in Philadelphia!Welcome to Last Month In Healthcare! Each month, producer Nathaniel joins me to discuss the previous month's podcasts, headlines, and listener-submitted questions. This episode covers healthcare news from April 2025, including:- RFK banning artificial food dyes- Phasing out animal testing- The amount of microplastics in our brains- An update on the FTC lawsuit against PBMs- Can AI answer medical questions better than your doctor?- Bill Gates on AI doctors/teachers- The UnitedHealth stock crash- Heavy metals in Girl Scout cookiesAnd, we play a game of "Medical Myths."Chapters: 0:00 - Intro0:47 - The Self-Funded Review7:44 - Healthcare Headlines33:11 - Medical Myths35:12 - Ask Spencer AnythingSources: ⁠https://www.fda.gov/news-events/press-announcements/fda-announces-plan-phase-out-animal-testing-requirement-monoclonal-antibodies-and-other-drugshttps://www.health.harvard.edu/blog/can-ai-answer-medical-questions-better-than-your-doctor-202403273028https://www.instagram.com/breakfreefromplastic/p/DGBbTB5z48n/https://www.barrons.com/articles/unitedhealth-stock-falls-medicare-advantage-6c54e1c1https://www.reuters.com/business/healthcare-pharmaceuticals/unitedhealth-lowers-annual-profit-forecast-higher-costs-2025-04-17/https://unusualwhales.com/news/bill-gates-says-ai-will-replace-doctors-and-teachers-in-10-yearshttps://www.nbcnews.com/health/health-news/rfk-jr-announces-plans-remove-artificial-dyes-nations-food-supply-rcna202184https://www.healthcaredive.com/news/ftc-pbm-case-move-forward-ferguson/744454/

If you'd like your question answered on next month's episode, call/text 469-213-6381 and leave us a voicemail/text.This month, we were joined by Rob Gelb in his office in Philadelphia!Welcome to Last Month In Healthcare! Each month, producer Nathaniel joins me to discuss the previous month's podcasts, headlines, and listener-submitted questions. This episode covers healthcare news from April 2025, including:- RFK banning artificial food dyes- Phasing out animal testing- The amount of microplastics in our brains- An update on the FTC lawsuit against PBMs- Can AI answer medical questions better than your doctor?- Bill Gates on AI doctors/teachers- The UnitedHealth stock crash- Heavy metals in Girl Scout cookiesAnd, we play a game of "Medical Myths."Chapters: 0:00 - Intro0:47 - The Self-Funded Review7:44 - Healthcare Headlines33:11 - Medical Myths35:12 - Ask Spencer AnythingSources: ⁠https://www.fda.gov/news-events/press-announcements/fda-announces-plan-phase-out-animal-testing-requirement-monoclonal-antibodies-and-other-drugshttps://www.health.harvard.edu/blog/can-ai-answer-medical-questions-better-than-your-doctor-202403273028https://www.instagram.com/breakfreefromplastic/p/DGBbTB5z48n/https://www.barrons.com/articles/unitedhealth-stock-falls-medicare-advantage-6c54e1c1https://www.reuters.com/business/healthcare-pharmaceuticals/unitedhealth-lowers-annual-profit-forecast-higher-costs-2025-04-17/https://unusualwhales.com/news/bill-gates-says-ai-will-replace-doctors-and-teachers-in-10-yearshttps://www.nbcnews.com/health/health-news/rfk-jr-announces-plans-remove-artificial-dyes-nations-food-supply-rcna202184https://www.healthcaredive.com/news/ftc-pbm-case-move-forward-ferguson/744454/

What do you think of Trump's performance during his first 100 days in office?   Conservative America is fired up as President Donald Trump marks his first 100 days back in office! On this week's episode of “Problematic Women,” we break down the biggest political and cultural headlines shaking up the nation.  

Food may look a little less colorful as the FDA and HHS act to remove certain dyes from the food chain. Listen for more on Two Minutes in Trade. 

A daily non-partisan, conversational breakdown of today's top news and breaking news stories Headlines: – Kennedy Wants To Phase Out 8 Commonly Used Food Dyes (05:10) – Supreme Court Poised to Back Faith Opt-Outs on LGBTQ Schoolbooks (12:40) – Pope Francis' Final Hours (15:10) – Head of ‘60 Minutes' Exits After Saying He Is Losing Independence (19:10) – Tesla's 71% Drop in Profit May Pressure Elon Musk to Return to Day Job (27:30) – Tina Knowles Reveals Breast Cancer Battle After Missed Mammogram (29:40) – Andre Agassi to play his first pro pickleball tournament with No. 1 player Waters (30:40) – On This Day In History (32:50) Thanks To Our Sponsors: – Shopify – $1 per-month trial Code: monews – Aura Frames - $35 off best-selling Carver Mat frames | Promo Code: MONEWS – LMNT - Free Sample Pack with any LMNT drink mix purchase – Industrious - Coworking office. 30% off day pass – Shipstation - Automated, discounted shipping free trial | Code: Monews – Athletic Greens – AG1 Powder + 1 year of free Vitamin D & 5 free travel packs – ZocDoc - Book Top-Rated Doctors 

(April 23, 2025)Good job RFK Jr! FDA announces it will move to rid food supply of dyes. Orange County judge Ferguson, who killed his wife, convicted of murder. L.A. Zoo puts elephant program on pause and will relocate its elephants Billy and Tina. YouTube turns 20 years old. How it changed TV as we know it.

@determineddonna4994 has been in the business space for a decade and started her journey in the Network Marketing/MLM Beachbody/BODI. Being a driven, committed, goal driven individual she knew that she needed something that could be HERS as she navigated motherhood and the challenges thrown her way in the process. Listen to her share her story of coming into her own, navigating her sobriety journey and discovering her business passion during the most unlikely season! Follow Donna: http://www.tiktok.com/@determineddonna http://www.instagram.com/determineddonna The program that she is a part of - the Play & Post Inner Circle - https://stan.store/Kaylaybanez/p/the-play--post-inner-circle Follow my social media ages! http://www.tiktok.com/@kaylaybanez http://www.instagram.com/imkaylaybanez Check out ways to work with me - https://stan.store/Kaylaybanez

Marty sits down with Mel Mattison to discuss the Trump administrations attempt at a manufactured soft landing.Mel on Twitter: https://x.com/MelMattison1Mel's website: https://www.melmattison.com/0:00 - Intro0:36 - Building homes won't fix real estate3:34 - Effects of Trump admin on market8:02 - Bitcoin breaking from NASDAQ10:14 - Fold & Coinkite11:52 - Bessent's hot and cold strategy18:18 - Playing hardball with Europe23:24 - Unchained24:24 - Middle East/Ukraine33:49 - Remaking the monetary order39:46 - Phasing out the Fed47:05 - Sovereign wealth fund makeup53:13 - Nixing income tax1:03:03 - Allocation strategyShoutout to our sponsors:Foldhttps://tftc.io/foldCoinkitehttps://coinkite.comUnchainedhttps://unchained.com/tftc/Join the TFTC Movement:Main YT Channelhttps://www.youtube.com/c/TFTC21/videosClips YT Channelhttps://www.youtube.com/channel/UCUQcW3jxfQfEUS8kqR5pJtQWebsitehttps://tftc.io/Twitterhttps://twitter.com/tftc21Instagramhttps://www.instagram.com/tftc.io/Nostrhttps://primal.net/tftcFollow Marty Bent:Twitterhttps://twitter.com/martybentNostrhttps://primal.net/martybentNewsletterhttps://tftc.io/martys-bent/Podcasthttps://www.tftc.io/tag/podcasts/

I attempted to be MacGyver, but might be closer to MacGruber. A woman stole an eatery's fancy bathroom sink. Truck hauling a load of curly fries catches fire on Maine highway. Humans only make up 38.5% of the internet. Who'd be the best celebrity to hangout with? Adam Sandler, Dwayne Johnson, Jack Black, or Shaq. The NFL is starting to move on from their old ways, and will be phasing out the chain gang. Travis Kelce told Pat McAfee that he's not going to retire this offseason. Hiker lost in China's frigid mountains for 10 days survives by eating toothpaste. But did they?

In this episode, we dive into the art of renovating in phases—smart, strategic, and family-focused! Join us as we sit down with Anna Crawford, an incredible BuildHer and DevelopHer who has been part of our community for six years, and who we believe has mastered the balance of juggling a growing family and an ever-evolving home renovation. We chat about her beautiful latest project in Kew East, named 'Hale Cottage' and explore how to make spaces work best for your current needs while leaving room for future flexibility as your life and family expand. With thoughtful planning, you can transform your home into a sanctuary without compromising on comfort or style, all while staying on budget. Whether you're a seasoned developer or taking on your first project, this episode is a practical example of phasing renovations, creating multifunctional spaces, and future-proofing your design choices. Get ready to be inspired to think creatively and strategically about your next build or reno. This stunning renovation has to be seen to be appreciated and is currently on the market - so be quick if you'd like to snap up a dream home!You can also see more of Anna's journey on Instagram:@hemma.jordSee omnystudio.com/listener for privacy information.

In this episode of Do This, Not That, host Jay Schwedelson delivers a brief yet insightful rundown of the latest marketing trends, pop culture highlights, and current events in his "What's Up This Week" segment. From LinkedIn scams to new content in the entertainment world, Jay keeps listeners updated with what's happening now and what to watch for next.=================================================================Best Moments:(01:16) New LinkedIn scam involving account rentals(02:49) Phasing out 2025 Outlook content by March 15th(04:09) Instagram testing a dislike button for comments(05:01) White Lotus season three and brand collaborations(06:28) Love is Blind season eight premiere on Netflix(07:06) Captain America movie at the box office(07:36) Invitation to connect on LinkedIn=================================================================Check out our FREE + VIRTUAL EVENTS! -> EVENTASTIC.comGuruConference.comDeliveredConference.com=================================================================MASSIVE thank you to our Sponsor, Marigold!!FREE Guide → The Loyalty Program Optimization GuideBuilding customer loyalty today means going beyond traditional rewards. Successful programs engage customers at every touchpoint, creating experiences that feel personal, valuable, and worth returning for. With nearly 70% of consumers willing to pay more for brands they love, your loyalty program can significantly drive engagement and revenue.In The Loyalty Program Optimization Guide you will learn:Customer Loyalty Today: Explore the latest loyalty trends and why customer loyalty remains a crucial growth driver in today's market.Key Strategies to Optimize Loyalty Programs: Discover must-know tactics to craft a loyalty program that's engaging, personalized, and impactful.Turning Loyal Customers into Superfans: Learn how to cultivate emotional connections that make customers feel more like brand advocates than just shoppers.Get the FREE Guide today and create better loyalty programs that drive revenue and engagement:jayschwedelson.com/marigold

Director of Academics Isaiah Sloan interviews Co-Authors Assistant Director of Academics Ricardo Fernandes and Diyar Demirkol, a Research Fellow, asking them important questions regarding this year's topic and the various ways to tackle this pertinent issue.

This Day in Legal History: Switch in Time that Saved NineOn February 5, 1937, President Franklin D. Roosevelt proposed a controversial plan to expand the U.S. Supreme Court, a move that became known as the “court-packing” plan. Frustrated by the Court striking down key New Deal programs, Roosevelt sought to add up to six new justices, arguing it would make the Court more efficient. His plan allowed the president to appoint an additional justice for each sitting justice over the age of 70 who refused to retire. Critics saw this as an attempt to undermine judicial independence and tilt the Court in Roosevelt's favor. The proposal faced strong bipartisan opposition, including from members of Roosevelt's own Democratic Party.While the plan ultimately failed in the Senate, the political pressure had an effect. Soon after, the Court began ruling in favor of New Deal legislation, a shift sometimes called “the switch in time that saved nine.” This shift preserved Roosevelt's policies without requiring changes to the Court's structure. By the early 1940s, Roosevelt had the chance to appoint multiple justices as vacancies naturally occurred. The controversy reinforced the principle of judicial independence and the separation of powers. It also set a precedent that court expansion efforts would be met with significant resistance.The court-packing episode remains relevant in modern debates over judicial reform. It serves as a historical lesson on the limits of presidential power and the resilience of the judiciary. Roosevelt, despite his immense political influence, could not force structural changes to the Supreme Court. The episode highlights the delicate balance between the executive and judicial branches, ensuring no single branch dominates the government.Pam Bondi was confirmed as U.S. Attorney General in a 54-46 Senate vote, positioning her to lead the Justice Department amid significant shifts under the Trump administration. Bondi, a longtime Trump ally, takes over as the department faces internal upheaval, with interim leadership forcing out officials involved in cases related to the January 6 Capitol attack. She has pledged to restore what she calls an "equal, fair system of justice" and to end the "partisan weaponization" of the DOJ.  Since Trump took office, the DOJ has realigned its priorities, focusing on immigration enforcement while reducing emphasis on other areas. One of Trump's first executive orders directed the agency to address alleged "weaponization" of law enforcement and intelligence agencies. Bondi supports this effort, vowing to enforce the law vigorously while backing the administration's policy shifts.  Her tenure is expected to bring further changes, including tensions between the DOJ and the FBI. Recently, the FBI was asked to provide names of employees involved in January 6 investigations, prompting lawsuits from agents concerned about retaliation. Critics warn that the administration's moves risk politicizing the DOJ and eroding institutional knowledge as career officials depart.Bondi Confirmed as Trump's Attorney General to Lead DOJ Shake-Up - BloombergThe American Federation of Government Employees (AFGE) is suing the Trump administration to stop its voluntary resignation program, "Fork in the Road," arguing it violates federal law. The program allows federal employees who resign by February 6 to continue receiving pay and benefits through September 30, but requires them to waive their right to sue their employer. The union claims this promise is illegal under the Anti-Deficiency Act, which prohibits federal agencies from committing funds before Congress approves them.  Congress has only authorized funding for most agencies through March 14, meaning agencies cannot guarantee salaries beyond that date. The lawsuit, filed in the U.S. District Court for the District of Massachusetts, is the latest challenge to efforts by Trump and Elon Musk to reduce the federal workforce. The Office of Personnel Management (OPM) argues that the resignation offer is legal because it does not provide “additional compensation.”  AFGE has received thousands of complaints from employees, saying the program forces staff to work extra hours while raising concerns about whether the government will honor its commitments. The Justice Department has not yet responded to the lawsuit.Federal Worker Union Sues to Stop Trump's Resignation Offer (1)Farmers in Curry County, New Mexico, are at a critical juncture in their fight against PFAS contamination from Cannon Air Force Base, with a key court hearing set for February 7. Art and Renee Schaap, once owners of a thriving dairy farm, were forced to slaughter their entire herd after discovering dangerously high levels of PFAS in their water supply. The chemicals, linked to firefighting foam used by the military, rendered their milk unsellable and their land contaminated.  A legal battle over the government's responsibility is unfolding, with the Schaaps' case becoming a test for broader national litigation. The Pentagon has requested dismissal of all claims under the Federal Tort Claims Act, arguing that its use of PFAS-containing foam was discretionary and therefore not subject to lawsuits. The government is also resisting cleanup demands under Superfund laws, which could delay remediation efforts.  If the court allows lawsuits to proceed, affected farmers and businesses may finally receive compensation and quicker environmental cleanup. Meanwhile, concerns over PFAS exposure continue to grow, with nearby cheese processors and residents installing costly water filtration systems to protect against contamination. The Air Force has begun cleanup efforts, including a planned $73 million water treatment facility, but obstacles remain, including regulatory changes and the lack of proven PFAS destruction technologies.  For now, the Schaaps and other local farmers face uncertainty, with their land value in question and their future livelihoods at risk. The case's outcome could determine whether the military is held accountable for widespread PFAS contamination affecting communities nationwide.Farmers Ruined by PFAS Face Key Moment in Fight AgainstDonald Trump's proposal to eliminate taxes on tips may seem like a win for hospitality workers, but it risks deepening wage inequities and further entrenching the service industry's reliance on gratuities. While tipped workers might see short-term benefits, the policy would leave out millions of low-wage workers in non-tipped sectors, such as retail or manufacturing, exacerbating disparities. It could also push more workers into precarious, tip-dependent jobs rather than stable, salaried positions.By making tips tax-free, employers may feel even less incentive to raise wages, worsening income instability for workers who already rely on inconsistent gratuities. The plan also ignores existing discrimination in tipping, which could become even more entrenched in an unregulated tip-based economy. Instead of piecemeal solutions that favor certain workers over others, policymakers should focus on raising the federal minimum wage and eliminating the tipped minimum wage exemption.The tipped minimum wage has been stuck at $2.13 per hour since 1991, despite inflation reducing its value over time. Phasing it out and aligning it with the federal minimum wage would offer workers more stability, ensuring they earn a livable income independent of customer generosity. A broader increase in the minimum wage is also necessary, as the current $7.25 rate, set in 2009, has failed to keep pace with inflation.While tax-free tips may sound appealing, they don't address the root causes of wage insecurity. True reform would prioritize fair pay for all low-wage workers, creating stability and reducing financial precarity across industries.Trump's Tax-Free Tips Proposal May Sound Good But Is a Risky Bet This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

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Two Angelenos are back with their families after serving 17 years for a murder they didn’t commit. World Series champion Walker Buehler is leaving LA for the east coast. A look at the potential future of California’s environmental policies. Support The L.A. Report by donating at LAist.com/join and by visiting https://laist.comSupport the show: https://laist.com

Being a Catholic Disney illustrator with Fabiola Garza. (3:05) Catholic children's books by a Disney illustrator – make great Christmas gifts. (23:47) Phasing into Christmas/Advent, the feast days, and Christmas decorations. (42:46) Resources Mentioned:  Fabiola Garza on Instagram  https://www.instagram.com/fabiolagarzacreates/?hl=en   A Boy Who Became Pope - The Story of St John Paul II https://paulinestore.com/a-boy-who-became-pope-the-story-of-st-john-paul-ii-anniv-ed.html    Princesses of Heaven  https://bookstore.wordonfire.org/products/princesses-of-heaven?gc_id=181327Di30sE8Ci4U3AeuYMC381nkhz7Jvi__WGfhQYHlopohyXMKsaAkb1EALw_wcB75338&g_special_campaign=true&gclid=Cj0KCQiAgJa6BhCOARIsAMiL7V8vLzO  

Chronic fatigue and long covid symptoms explained with solutions with functional medicine and MD Dr. April Lind. (3:11) Planned Parenthood exposed negotiating with and in partnership with UCSD for research on aborted baby body parts (33:50) Phasing into Christmas/Advent and Christmas decorations to be continued... (48:16) Resources mentioned :  Dr. April Lind's website: https://mnpersonalizedmedicine.com/   Strength Training and anti aging hacks  https://omny.fm/shows/trending-with-timmerie-catholic-principles-applied/anti-aging-hacks-strength-training   Institute of functional medicine  https://www.ifm.org/find-a-practitioner/   Academy of Intregrative Health and Medicine  https://members.aihm.org/find-a-provider/   Research on long covid and MECFS Mitochondria and chronic disease Is Mitochondrial Dysfunction a Common Root of Noncommunicable Chronic Diseases? - PMC   The Key Role of Mitochondrial Function in Health and Disease - PMC   Mitochondrial dynamics in health and disease: mechanisms and potential targets | Signal Transduction and Targeted Therapy Mitochondrial dysfunction: mechanisms and advances in therapy | Signal Transduction and Targeted Therapy EBV Is there a link between long COVID and Epstein-Barr virus?   Investigation of Long COVID Prevalence and Its Relationship to Epstein-Barr Virus Reactivation - PMC   The Long COVID Puzzle: Autoimmunity, Inflammation, and Other Possible Causes > News > Yale Medicine Long covid mcas Mast cell activation symptoms are prevalent in Long-COVID - PMC Mast cell activation syndrome and the link with long COVID - PubMed Mast cell activation syndrome: An up-to-date review of literature - PMC   Long covid and me/cfs Long COVID, ME/CFS and the Importance of Studying Infection-Associated Illnesses > News > Yale Medicine Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)—A Systemic Review and Comparison of Clinical Presentation and Symptomatology - PMC ME/CFS and Post-Exertional Malaise among Patients with Long COVID - PMC The overlapping conditions of Long Covid and ME/CFS | The BMJ Planned Parenthood exposed negotiating with and in partnership with UCSD for research on aborted baby body parts https://www.centerformedicalprogress.org/2024/11/breaking-viable-nonanomalous-6-month-old-fetuses-sold-from-planned-parenthood-abortions-to-university-of-california-new-documents-show/  

Patrick Hunt is a GP at New Industry VC. He joins to discuss the critical concepts of narrative command and operational mastery in the context of building deep tech hardware startups. He shares insights from his experience at Rivian and Our Next Energy, emphasizing the challenges of managing change, the importance of structured risk management, and the need for founders to effectively communicate their vision. The discussion highlights the complexities of startup dynamics and the essential qualities that venture capitalists look for in founders. Links: Show notes: http://brandonbartneck.com/buildingbetter/patrickhunt Edison Manufacturing Exchange: https://brandonbartneck.substack.com/publish/home linkedin.com/in/brandonbartneck/ https://www.nivc.us/ https://www.nivc.us/blog/operational-mastery Takeaways Entrepreneurship is incredibly challenging and requires resilience. Narrative command is essential for startups to shape market understanding. Operational mastery involves managing change effectively as a company scales. Deep tech hardware startups face unique challenges compared to software startups. Change management is crucial to avoid becoming a 'company killer.' Phasing risks helps in systematically addressing startup challenges. Founders must embody their company's vision to achieve narrative command. Building a compelling narrative can attract investment and talent. Understanding the complexities of capital deployment is vital for hardware startups. Feedback and learning agility are key traits for successful founders. About Patrick Hunt Patrick Hunt is a GP at New Industry VC. He previously built Rivian for eight years, from employee #15 to 15,000, and led Manufacturing Strategy at a unicorn battery startup. About New Industry VC New Industry VC is a venture capital firm investing in Deep Tech hardware startups at the earliest stages. They seek founders with Narrative Command and Operational Mastery. Keywords Patrick Hunt, New Industry VC, deep tech, hardware startups, narrative command, operational mastery, venture capital, entrepreneurship, startup challenges, risk management Building Better Building Better with Brandon Bartneck is focused on the people, products, and companies that are creating a better tomorrow, often in the transportation and manufacturing sectors. This show was previously called the Future of Mobility podcast. I aim to have real, human conversations to explore what these leaders and innovators are doing, why and how they're doing it, and what we can learn from their experiences. If you care about making an impact then this show might be for you. Topics include manufacturing, production, assembly, autonomous driving, electric vehicles, hydrogen and fuel cells, impact, leadership, and more. Edison Manufacturing and Engineering: Edison is your low volume contract manufacturing partner, focused on assembly of complex mobility and energy products that don't neatly fit within traditional high-volume production methods.