Everything Product

Discover how Google's NotebookLM revolutionizes learning by transforming documents, PDFs, and YouTube videos into personalized podcasts. In this comprehensive tutorial, we explore NotebookLM's powerful features including AI-generated audio overviews, mind maps, study guides, and interactive chat functionality.In this episode, product managers Fini and Sid Saladi demonstrate how to use NotebookLM for learning complex concepts like AI agents. Watch as they upload multiple sources and generate a thirty-five minute podcast conversation automatically, perfect for learning while commuting or multitasking.Timeline:0:00 - Introduction to NotebookLM and its impact on content creation1:31 - Welcome to the Everything podcast2:12 - Use case: Learning about AI agents with NotebookLM3:04 - NotebookLM interface overview and basic layout3:29 - What is NotebookLM? Quick introduction4:12 - Types of sources you can add (websites, YouTube, Google Docs, PDFs)4:41 - Understanding RAG (Retrieval Augmented Generation)5:07 - Adding sources to your NotebookLM workspace5:55 - Audio overview feature: Converting content to podcasts6:28 - Exploring mind maps and study guides7:00 - Chatting with NotebookLM about daily automation with AI agents9:00 - How to get better answers by adding more sources9:42 - Viewing citations and source references10:17 - Listening to the generated thirty-five minute podcast11:00 - Interactive mode: Joining the AI conversation11:18 - Using NotebookLM for interview preparation12:01 - Feedback options and sharing features12:57 - Generating study guides, FAQs, and timelines13:03 - Adding new sources to update your knowledge base14:27 - Building an AI agent in N8N for podcast recommendations16:08 - The content creator dilemma: Impact on views and watch time17:00 - The future of AI search and content creation revenue models18:17 - Final thoughts on information synthesis toolsTags:NotebookLM tutorial, Google NotebookLM, AI learning tools, convert documents to podcast, NotebookLM features, AI study guide generator, mind map generator, RAG application, retrieval augmented generation, AI agents tutorial, product management podcast, N8N automation, AI podcast generator, automated learning, student study tools, exam preparation AI, NotebookLM 2026, AI education tools, audio overview NotebookLM, interactive AI learning, AI content summarization, vector search AI, Google AI experiments, NotebookLM guide, how to use NotebookLM, AI powered studying, content synthesis tools, YouTube to podcast converter, PDF to audio, document analysis AI, AI search impact, content creator challenges, Google AI mode, perplexity AI alternative, automated study materials, AI interview preparation, behavioral interview practice, STAR method AI, product manager tools, Best Buy product management, startup product management, AI automation daily tasks, podcast recommendation system, machine learning education, artificial intelligence concepts, technology podcast 2026

🚨 Game-changer spotted.We took Perplexity’s new Comet Browser for a spin—and it feels like Chrome and ChatGPT merged into one.In this demo, you’ll see how an AI-powered browser can apply to jobs, analyze portfolios, and run competitor research—all while you’re logged into your own accounts.🔥 What’s inside the demo:✅ Applied to 8 LinkedIn jobs automatically via Easy Apply✅ Live portfolio analysis with actionable investment insights✅ Competitor research on Lenny’s Newsletter (sorry, Lenny 😅)✅ Real-time web scraping + actions, not just summaries✅ Instant Chrome profile import — switch with zero friction💡 Built for Product Managers who want to:Eliminate repetitive research workGet AI help on authenticated websitesSpeed up competitive analysisSave hours of manual data gathering⚠️ Note: Use responsibly. Make sure your company allows AI tools—especially if you’re in banking or healthcare.⏱️ Key timestamps:0:00 – Intro & product overview2:30 – Chrome migration demo5:06 – LinkedIn job application automation11:21 – Competitor analysis (Lenny’s Podcast)13:16 – Live web content analysis15:13 – Portfolio management demo22:28 – Voice mode24:03 – Final thoughts👉 Subscribe for more AI product walkthroughs💬 Drop your favorite use case in the comments🔁 Share if this would upgrade your workflow🏷️ Tags:#ProductManagement #AITools #CometBrowser #Perplexity #AIAgents #Automation #ProductDemo #AIBrowserSecondary:#WorkflowOptimization #CompetitorAnalysis #LinkedInAutomation #AIProductivity #PMTools2025Use-case focused:#AutomatedJobApplications #AIPortfolioAnalysis #AICompetitorResearch #ProductManagementAutomation📊 Why it matters (ROI):8 job applications in minutes—not hoursInstant competitor insights instead of days of researchReal-time access to authenticated data—no exports needed🚀 Questions for you:Which use case would save you the most time?Which logged-in site should this work on next?Want a deeper dive into enterprise workflows?

Struggling to get interview calls despite your experience? Learn how to transform your generic resume into a highly customized, ATS-optimized resume using AI in just 60 seconds!In this video, product management experts reveal why recruiters spend only 6 seconds on your resume and demonstrate a live tutorial using Google Gemini 2.5 Pro (tested against ChatGPT, Claude, and DeepSeek) to create job-specific resumes that get you noticed.🎯 What You'll Learn:Why your resume is your marketing materialHow to customize resumes for specific job descriptionsThe keyword strategy recruiters actually useLive AI resume optimization demo with Google Gemini 2.5 ProExpert prompting techniques for best resultsTimeline:0:00 - Introduction: The Most Important Thing for PM Interviews2:18 - Resume Fundamentals: What Matters Most3:27 - Your Resume as Marketing Material6:03 - The 6-Second Rule: Why Customization Matters7:00 - How to Customize Your Resume for Each Job8:36 - The Recruiter's ATS Keyword Strategy10:06 - AI Resume Optimization Introduction10:17 - Live Demo: Using Google Gemini 2.5 Pro11:10 - Writing the Perfect Prompt for AI12:00 - Real Example: Sally's Resume for Epic Games14:18 - Results: Before vs After Comparison15:25 - Final Takeaways: Generic to Customized in MinutesPerfect for: Product managers, job seekers, career changers, and anyone applying for competitive roles in tech.💡 Stop sending generic resumes! Start landing more interviews today.resume optimization, AI resume builder, product manager resume, Google Gemini 2.5 Pro, resume tips 2025, ATS optimization, job search tips, how to write a resume, product management career, resume customization, AI tools for job search, resume keywords, recruiter tips, tech resume, career advice, job application tips, resume writing, hiring tips, product manager interview, AI prompting, resume hacks, job hunting, career development, tech jobs, PM resume, applicant tracking system, resume formatting, job description matching, professional resume, career coaching

Discover the future of AI automation! In this comprehensive guide, we break down the difference between AI agents and agentic AI, explore real-world applications in HR and travel planning, and discuss how this technology is set to revolutionize every industry.🎯 What You'll Learn:The key differences between AI agents and agentic AIHow multiple agents work together to solve complex problemsReal-world implementation in HR workflows (compensation structure automation)Practical examples: Budget-based trip planning with AIModel selection strategies (OpenAI, Claude, Llama, Mistral)How agentic AI will transform business UIs and user experiences🔥 Perfect for: Product Managers, Tech Leaders, AI Enthusiasts, Entrepreneurs, and anyone interested in understanding the next wave of AI automation.📌 TIMESTAMPS:0:00 - Introduction: What is Agentic AI?0:40 - AI Agents vs Agentic AI: Understanding the Difference1:09 - How Aura AI Uses AI for HR Solutions2:17 - Deep Dive: Agentic Workflows Explained3:37 - Real Example: Building Compensation Structures with AI4:38 - Multiple Agents Working Behind the Scenes5:30 - Model Selection: OpenAI, Llama, Mistral & More6:38 - Choosing the Best AI Model for Your Use Case7:35 - Narrow vs Broad Use Cases in AI8:45 - Engineering Infrastructure for AI Success9:31 - Practical Example: AI-Powered Trip Planning12:20 - Travel Planning: From Manual Search to AI Automation14:19 - How Agents Communicate and Coordinate Tasks16:34 - The Future: How Agentic AI Will Revolutionize Every Company💡 Key Takeaways:✅ Agentic AI uses multiple specialized agents working together autonomously✅ Each agent focuses on specific tasks (job descriptions, market data, flight search, etc.)✅ Different AI models excel at different use cases - no single "best" model✅ Proper engineering infrastructure is crucial for AI accuracy✅ Future businesses will need to adapt from UI-centric to agent-centric approaches🔗 Related Topics: AI automation, machine learning, product management, HR tech, generative AI, LLMs, AI workflows, business automation📢 Subscribe for more content on product management, AI technologies, and insights from industry leaders shaping the future of tech!#AgenticAI #AIAgents #ArtificialIntelligence #ProductManagement #TechInnovation

Learn the essential product metrics that successful Product Managers use to drive growth and measure success. Join Srinath and Sid as they break down key metrics from Customer Lifetime Value to Growth Funnels, sharing practical insights on how to track and optimize each metric for your product's success.For more updates from Everything ProductCheckout our LinkedIn page - https://www.linkedin.com/company/everything-product-podcast💎 Here are more resources for you🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33o🎯 Key Highlights:Understanding Customer Lifetime Value and its relationship with CACWhy Net Promoter Score matters for mature productsHow to measure user engagement through MAU/DAUCreating effective Go-to-Market strategiesUsing growth funnels to optimize different stages of product developmentTimestamps:0:00 - Introduction29:52 - Customer Lifetime Value (CLV) explained31:20 - CLV's relationship with customer acquisition costs31:48 - Net Promoter Score (NPS) breakdown33:08 - Go-to-Market Strategy essentials35:12 - Monthly & Daily Active Users (MAU/DAU)38:32 - Customer Acquisition Cost (CAC) deep dive40:10 - Understanding Churn Rate41:36 - User Engagement metrics42:25 - Growth Funnel analysis44:03 - Conversion Rate importance👉 Check out our other videos on Product Management:OKRs for Product ManagersBuilding Product RoadmapsAchieving Product Market FitTags:product management, product metrics, customer lifetime value, net promoter score, product analytics, growth metrics, user engagement, customer acquisition cost, churn rate, product manager skills, product strategy, startup metrics, saas metrics, business metrics, product management career, product growth, user analytics, product development, product marketing, tech product management, business analytics, product management skills, product management guide

Ever wondered how Amazon builds generative AI for millions of sellers? Or how Instagram's recommendation feed knows exactly what you want to watch next? In this deep-dive conversation, we sit down with AI/ML leaders from Amazon and Meta to uncover the real strategies behind building AI products at scale. Anita shares her journey launching Amazon's first AI image generation solution for sellers, while our Meta engineer breaks down distributed inference and how Instagram's recommendation models actually work. Key Insights: → Why you should validate AI ideas with free tools (Midjourney, Canva) BEFORE building → The real difference between AI metrics vs. business metrics → How to define "quality" when there's no industry benchmark → Why giving users full control over prompts is a mistake → How Instagram updates its models without losing your preferences Timeline: 0:00 - Introduction: Building AI products at scale 1:19 - Launching Amazon's first AI image generation tool 2:06 - Balancing innovation with customer problems 3:16 - The problem: Small sellers can't afford graphic designers 4:03 - Real-world example: Food tech & restaurant images 5:07 - Validating AI with prototypes before building 5:24 - KEY INSIGHT: Use Midjourney/Canva to validate first 6:12 - Quality dimensions: Aesthetics, relevance, proportions 8:48 - Product manager's dilemma: AI metrics vs. business metrics 9:30 - Creating benchmarks when none exist 10:30 - Responsible AI: Safety, watermarks, artifacts 11:04 - Business metrics: Adoption, engagement, retention 12:05 - Defining accuracy in generative AI 13:56 - Don't make users prompt engineers (abstract the complexity) 15:26 - Fundamentals of inference explained 16:09 - Training vs. Inference: The dog analogy 17:00 - Why training and inference aren't binary 18:43 - How Meta does distributed inference 19:32 - How Instagram recommendations actually work 20:26 - Snapshot updates: Keeping models fresh 21:01 - Replacing models without losing user context 22:38 - What is distributed inference? Tree structure explained 23:31 - How Instagram serves personalized content at scale Who This Is For: Product managers building AI/ML products Engineers working on generative AI Startup founders exploring AI solutions Anyone curious about how Big Tech AI actually works Resources Mentioned: Stable Diffusion aesthetic models Midjourney for prototyping Canva for quick validation 🔔 Subscribe for more deep dives into AI product development! #GenerativeAI #MachineLearning #ProductManagement #Amazon #Meta #Instagram

Discover the inspiring entrepreneurship journeys of two successful founders who left their corporate careers to build thriving startups. Nathan shares how he transitioned from Meta and Microsoft to launch My Garden Emporium, solving urban sustainability challenges in Bangalore. Chris reveals how he built a multi-million dollar B2B gifting platform despite having no product or engineering background.In this podcast, learn about:✅ Overcoming the "golden handcuffs" of corporate life✅ Finding product-market fit and your first 100 customers✅ Pricing strategies that led to 10x growth✅ The minimum regret framework for decision-making✅ Pivoting quickly and iterating fast✅ Hiring your first sales team and scaling revenueTimeline:0:00 - Introduction: The entrepreneurship journey begins0:33 - Nathan's early startup: Computer assembly business in 20031:15 - Moving from Meta/Microsoft to entrepreneurship2:06 - The 20-year corporate career and "golden handcuffs"3:23 - The minimum regret framework for quitting your job4:52 - Why My Garden Emporium? Solving urban sustainability6:54 - From single product to 5 categories in 4 months8:56 - Chris's journey: Building without technical background9:30 - Overcoming imposter syndrome as a salesperson founder10:31 - Finding your first customers through cold outreach11:16 - Getting 50 customers from 200 outreach attempts (25% conversion!)12:28 - Pricing lessons: From $100 to $2,000/month without losing customers13:25 - Transitioning from founder-led sales to hiring sales teams14:29 - Expanding from gift cards to warehouse model15:02 - Product roadmap strategy and building your vision15:26 - Backwards math: Scaling to $1M, $10M, $100M revenueKey Takeaways:Start with MVP and iterate quickly - both founders validated ideas before going all-inCustomer discovery is crucial - talk to potential buyers before buildingPrice confidently - underpricing can limit growth potentialThe worst case? You can always return to corporate if startup failsBuild what you know - leverage your domain expertise🔔 Subscribe for more founder stories, startup strategies, and entrepreneurship insights!#Entrepreneurship #StartupJourney #ProductMarketFit #FounderStories #CorporateToStartupTagsentrepreneurship journey, startup founder stories, leaving corporate job, product market fit, finding first customers, startup pricing strategy, B2B SaaS startup, minimum regret framework, imposter syndrome entrepreneur, non technical founder, customer acquisition strategy, cold outreach tactics, scaling startup revenue, founder led sales, hiring sales team, MVP development, fast iteration startup, pivot strategy, urban sustainability startup, garden emporium, B2B gifting platform, Meta to startup, Microsoft to entrepreneur, Bangalore startups, Indian entrepreneurship, startup validation, customer discovery process, SaaS pricing model, from zero to million revenue, startup growth strategy, quitting corporate life, golden handcuffs, career transition, building without coding, sales background founder, product management career, tech entrepreneurship India, e-commerce platform launch, landscaping business, startup challenges, entrepreneur mindset, risk taking in business, startup success stories, bootstrapping strategies, go to market fit, ideal customer profile, early stage funding, revenue scaling tactics, subscription business model, warehouse logistics startup, work and upwork hiring, remote team building, startup founder advice, leaving big tech companies

Build production-ready websites without writing code! In this episode, we explore how AI coding tools like Lovable and Replit are transforming how Product Managers work. Watch us build real websites in real-time and learn which tool is best for prototyping, MVP development, and design handoffs. 🎯 What You'll Learn: Build a fully functional website in under 60 minutes Compare Lovable vs Replit for product prototyping Best practices for prompting AI coding agents How to integrate databases, authentication, and APIs without coding When to use AI tools vs hiring engineers 💡 Key Takeaways for PMs: Chat with AI agents BEFORE building (treat them like junior developers) Create PRDs and get AI to review the plan first Front-end prototyping is exceptional, backend integration needs patience Always enable confirmation mode to prevent unexpected changes 🛠️ Tools Discussed: Lovable (lovable.dev) - User-friendly, fast prototyping Replit (replit.com) - Developer-friendly with built-in deployment Anthropic's Claude for PRD generation Supabase for authentication & database ⏱️ Timestamps: 0:00 - Introduction: Building Without Engineers 1:04 - Real Experience with Lovable & AI Coding 2:52 - Life Before vs After AI Coding Tools 4:26 - Best Practice: Treat AI Like Your Developer 5:18 - Live Demo: Building with Replit 8:54 - Database, Authentication & Deployment 12:00 - Building a Podcast Website Live 16:00 - Anthropic Computer Use Integration 16:55 - Lovable Demo: Better UI, Faster Results 19:43 - YouTube API Integration Discussion 📌 Featured Projects Built: ✅ Prompt Template Marketplace for PMs (60 min build) ✅ Podcast Website with Episode Management (13 min build) ✅ User Authentication & Database Integration ✅ Search, Filter & Rating Functionality 🔗 Resources Mentioned: Replit Templates & Documentation Lovable Platform YouTube API Integration Supabase Backend Services 💬 Your Turn: Which AI coding tool should we explore next? Comment below! 🎙️ About Everything Product: Your go-to podcast for Product Management insights, AI tools, and career growth. Hosted by three experienced PMs sharing real experiences and practical advice. 👍 Like this video? Subscribe for weekly PM content! 🔔 Hit the bell icon to never miss an episode! #ProductManagement #AITools #NoCode #Lovable #Replit #ProductManager #TechForPMs #AIForProductManagers #WebDevelopment #Prototyping

In this episode, we dive deep into how to crack Product Management interviews at Amazon and other top tech companies. You’ll learn how to structure behavioral answers using Amazon’s Leadership Principles, how to think through product design prompts step-by-step, and what interviewers are really looking for when they ask about impact, metrics, and prioritization. Featuring insights from experienced product leads across Amazon, Google, Intuit, and Tesla — this guide helps you master both the behavioral and product sense rounds with clarity and confidence. What You’ll Learn • The mindset Amazon looks for in Product Managers and why leadership principles matter so much. • The best structure for behavioral answers (STAR and CAR) and how to quantify your impact. • A repeatable framework for tackling product design questions clearly and confidently. • How to balance user needs, business goals, and technical feasibility in your answers. • Real examples — from Uber Eats redesign to Trader Joe’s delivery app — showing how to frame your thinking. • A preparation roadmap for practicing and building your story bank before your next interview. Timestamps 00:00 – Introduction: What Amazon evaluates in PM interviews 02:00 – Behavioral Interviews: Leadership principles and storytelling frameworks 05:00 – Product Design Round: Framework for problem solving and product sense 10:00 – Example: Improving Uber Eats and breaking down probing questions 15:00 – Example: Trader Joe’s delivery app and prioritization under constraints 18:00 – Final Tips: Practice structure, quantify results, and stay under two minutes per answer Takeaways Build a library of 8–10 behavioral stories that map directly to Amazon’s Leadership Principles. Use STAR or CAR format to keep answers concise and measurable. Always define success metrics when proposing product ideas or improvements. Focus on clarity over creativity — structure wins interviews. Rehearse stories aloud and record yourself to improve delivery and timing. If you found this episode helpful, hit subscribe and drop a comment telling us which leadership principle you find toughest to demonstrate — we’ll break it down in the next video. Tags product management, amazon interview, product design, behavioral interview, amazon leadership principles, pm interview, interview preparation, star format, car format, product sense, product manager, career advice, google interview, tesla interview, intuit, product design framework, probing questions, leadership principles, customer obsession, disagree and commit, interview tips, mock interview, product strategy, product thinking, ux

In this episode of Everything Product, hosts Sid and Funny discuss how AI tools are revolutionizing the way aspiring product managers can build portfolio projects. They demonstrate how tools like Replit and Lovable AI allow anyone to create functional websites in under an hour without coding knowledge, solving the classic "chicken and egg" problem of needing experience to get a product management job. Watch as they build podcast websites in real-time and compare the developer-focused Replit with the more user-friendly Lovable AI.For more updates from Everything ProductCheckout our LinkedIn page - https://www.linkedin.com/company/everything-product-podcastMeet Hosts: Srinath - [https://www.linkedin.com/in/skotela/]Phani - [https://www.linkedin.com/in/phanivuyyuru]Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/ [https://mobile.twitter.com/Sidsaladi]💎 Here are more resources for you🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oIf you're an aspiring product manager looking to build your portfolio or anyone interested in the latest AI website builders, this episode shows you how to create impressive projects with minimal effort. Subscribe for more content on product management and AI tools!Timestamps0:00 - Introduction to the podcast and hosts0:57 - The "chicken and egg" problem in product management2:11 - How AI has changed building product prototypes3:57 - Sid's experience building a prompt template website with Replit6:05 - Demonstration of the website built with Replit7:17 - How Replit handles database and user authentication8:36 - Tour of Replit features (deployments, resources, bounties)10:36 - Live demo: Building a podcast website with Replit13:41 - Discussion about API connections in Replit15:18 - Mention of Anthropic's "Computer Use" project16:07 - Funny's experience with Lovable AI website builder17:43 - Comparing UI and features of Lovable vs Replit18:33 - Exploring the podcast website created by Lovable19:39 - Discussion about database connections and authentication20:09 - Closing remarks and call to actionRecommended Tags#ProductManagement #AITools #WebsiteBuilder #NoCode #ReplitAI #LovableAI #ProductPortfolio #TechStartup #AIWebDevelopment #SideProjects #ProductDesign #WebPrototyping #AIAgents #TechDemo #ProductManagerSkills

In this episode, we dive deep into how AI shortcuts and tools like Perplexity are completely transforming the way we manage emails, markets, meetings, and research — no code, no friction, just prompts.We explore how users can now do Bloomberg-level financial analysis, run competitor watch reports, and even automate daily workflows — directly inside Perplexity.If you’ve ever wondered how to use AI agents and shortcuts for real-world productivity — this episode is for you.⏱️ Timestamps0:00 – The rise of email automation with AI0:40 – Why shortcuts are redefining productivity1:20 – Using Perplexity for market pulse and stock analysis2:45 – Automating financial summaries like Bloomberg ($20K/mo alternative)3:20 – Calendar digest & meeting prep automation4:00 – Linking Gmail, Slack & Calendar to manage your day5:10 – Tab and browser management with Comet shortcuts6:00 – Perplexity’s new email management product explained7:15 – Real-time financial prompts: creating your own market pulse8:40 – Understanding daily stock and crypto trends with AI9:50 – Bloomberg vs Perplexity: can prompts replace pro terminals?10:30 – Real examples: market update, crypto update, competitor watch12:10 – How to set up a competitor watch shortcut (demo)13:00 – Why references and credible sources matter in AI research14:30 – Building your own custom prompt workflows15:30 – Final thoughts: saving time with AI automation in daily life16:00 – Outro + where to watch the previous episodes💡 Key Highlights:Automate your entire email workflow using Perplexity’s new tools.Replace $20,000/month Bloomberg terminals with AI-powered prompts.Build shortcuts for competitor analysis, market trends, and research summaries.Connect your Slack, Gmail, and Calendar for complete productivity sync.Learn how AI agents can handle research, reporting, and prep automatically.📺 Subscribe for more deep-dive episodes every week.🏷️ Tags Perplexity AI, AI shortcuts, AI automation, email automation, Bloomberg terminal alternative, AI tools 2025, productivity tools, AI workflow automation, Perplexity pro, Comet AI, Comet Chrome extension, finance AI, stock analysis AI, AI research tools, GPT shortcuts, AI competitor analysis, AI meeting prep, market pulse AI, financial automation, AI podcast, AI for finance, AI productivity, AI daily tools, GPT-5 productivity, AI tech talk, AI use cases, AI workflow management

AI tools won’t replace your dev team.But they will change how PMs build.In this episode of Everything Product, Phani and Srinath break down what really happens when you try to build a functional product using Vibe-coding tools like Lovable, Supabase, Firebase, and Replit.They tried to build real workflows. With real APIs. And real deadlines.Meet Hosts: Srinath - [https://www.linkedin.com/in/skotela/]Phani - [https://www.linkedin.com/in/phanivuyyuru]Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/ [https://mobile.twitter.com/Sidsaladi]💎 Here are more resources for you🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oThe result?🧠 Insights on where AI tools shine — and where they absolutely break🧩 Unexpected gaps in basic flows like Google Auth, form actions, and Shopify integrations🚨 Trade-offs between simulation, real-world functionality, and scaleThis episode is a must-watch for:→ Product managers trying to ship prototypes solo→ Founders hacking MVPs→ Builders trying to integrate AI tools into real shipping processes🎧 From bugs and surprises to wins and breakthroughs — here’s everything we learned from 90 days of building with AI.⏱️ Timestamps:0:00 – Intro: Why we tested Vibe-coding tools in real builds1:20 – The real difference between demo tools and functional products2:30 – How Lovable works — and where it breaks4:15 – Why Supabase Auth is trickier than expected6:00 – Frontend UI is easy — real data flows are the problem8:30 – Can AI tools build with APIs like Shopify or Razorpay?10:00 – Simulation vs Reality: What PMs need to know11:30 – Where Firebase still outperforms others13:00 – Why testing is the blind spot in most AI builders14:45 – What actually helped us build faster16:30 – Final take: Would we use these tools again for v1?Tags :AI tools for product managers, Vibe coding tools review, no-code with Supabase, Lovable tool review, firebase vs supabase, building with Replit, MVP with AI tools, product manager MVP tools, how to build without engineers, AI product building, shipping without dev team, frontend AI builders, Shopify integration AI, API challenges with no-code, Everything Product podcast, Srinath Kotela, Phani Vuyyuru

Discover how real startup founders are using AI to automate their businesses and slash costs by thousands of dollars. In this episode, we dive deep into practical AI use cases that any founder or product manager can implement today. 🎯 What You'll Learn: How to build a professional website for $20-50/month instead of $5K-10K Automating social media marketing (saved $800/month) AI-powered email marketing with customer personalization Building custom inventory management systems with AI Using AI voice agents for sales outreach and follow-ups Data-driven advertising optimization 💡 Key Highlights: ✅ Built a complete e-commerce website using Lovable (AI tool) for under $150 ✅ Replaced $800/month social media agency with AI-generated content ✅ Automated email marketing flows with personalized customer content ✅ Created custom inventory management app using AI (BaskinRobbins case study) ✅ Exploring AI voice agents for distributor outreach and customer follow-ups 🛠️ Tools Mentioned: Lovable (website building) Shopify (e-commerce backend) Klaviyo (email marketing automation) Lindy.com (customer action automation) N8n (workflow automation) Midjourney, Sora (AI content generation) Substack (newsletter automation) 👥 Featured Founders: Flavor Fusion (ready-to-cook curries company) Event venue business owner BaskinRobbins franchise owner (inventory management case study) 📌 Perfect for: Product Managers, Startup Founders, Small Business Owners, Solopreneurs exploring the "one-person billion-dollar business" concept 🔔 Subscribe to Everything Product for more insights on AI tools and technology for founders! Timestamps 00:00 - Introduction: AI Automation for Founders 00:53 - Topic Overview: One Person, Billion Dollar Businesses 02:55 - Website Building: $10K → $50/month with AI 04:17 - Deep Dive: Using Lovable for Custom Website Development 05:27 - Event Venue Website Case Study ($1,000 saved) 07:22 - Content Generation & Social Media Marketing 09:05 - Replacing $800/month Marketing Agency with AI 10:28 - Email Marketing Automation with Klaviyo 12:15 - Customer Data & Personalization Strategies 13:17 - Automation Tools: N8n vs Lindy comparison 15:13 - Event Venue Marketing Challenges 17:37 - BaskinRobbins Inventory Management Case Study 19:25 - AI Voice Agents for Sales & Distributor Outreach 22:00 - Building Products for Shopify Ecosystem 22:36 - Data Analysis & Advertising Optimization AI automation for founders Product management AI tools Startup cost reduction AI for small business No-code AI solutions Product management strategies Founder automation tools Lovable AI AI website builder Email marketing automation Klaviyo automation AI content generation Social media automation Inventory management AI AI voice agents Lindy automation N8n workflows Startup tips Small business automation AI tools 2025 Entrepreneurship Business efficiency Marketing automation Cost cutting strategies Solopreneur tools

In this episode of Everything Product, we dive into the latest AI tools and how they’re reshaping product management — with a special focus on Claude Artifacts. Meet Hosts:  Srinath - [https://www.linkedin.com/in/skotela/] Phani - [https://www.linkedin.com/in/phanivuyyuru] Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/   [https://mobile.twitter.com/Sidsaladi] 💎 Here are more resources for you 🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀 https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt 🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰 https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE ⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️ https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33o We share how these tools can automate daily tasks, simplify app creation, and supercharge productivity. From building quick applications to repurposing content for social media, to synthesizing feedback for sharper decisions — we cover it all. Our big takeaway? Product managers who lean into AI will be the ones who streamline processes, save hours, and make better calls, faster. Takeaways AI tools can significantly automate daily tasks for product managers. Claude Artifacts allows users to create apps without extensive coding knowledge. Repurposing content for social media can save time and enhance engagement. Creating templates helps maintain a consistent writing style across platforms. Automation can simplify the process of generating weekly business reviews. AI can analyze large sets of feedback for better product decisions. Using AI tools can lead to more efficient content generation. Interactive applications can make learning and development more engaging. Claude Artifacts offers a variety of fun and useful applications. Leveraging AI can transform productivity in product management.

We've been using Perplexity's Comet browser for 30 days, and here's our honest take on whether it's worth switching from Chrome. In this video, we share real use cases that product managers will love - from automating email workflows to managing job applications at scale. Meet Hosts:  Srinath - [https://www.linkedin.com/in/skotela/] Phani - [https://www.linkedin.com/in/phanivuyyuru] Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/   [https://mobile.twitter.com/Sidsaladi] 💎 Here are more resources for you 🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀 https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt 🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰 https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE ⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️ https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33o 🎯 Key Highlights for Product Managers: Automated email filtering for stakeholder communications Smart LinkedIn outreach management for recruiting/networking Customer feedback aggregation from multiple channels Time-saving shortcuts for repetitive product tasks Real productivity gains vs. traditional browsers ⚡ What We Cover: Lightning-fast onboarding (but with one major catch for power users) 5 practical automation workflows we actually use daily The good, bad, and ugly of AI-powered browsing Why small business owners and PMs are loving this tool Tips for maximizing Comet's AI assistant 🔥 Perfect For: Product managers drowning in emails Small business owners handling customer support Job seekers wanting to automate applications Anyone curious about AI-powered productivity tools 💡 Our Verdict: Is it worth switching from Chrome? Watch to find out! Drop a comment with your Comet use cases - we'll test them in our next video! #CometBrowser #ProductManagement #AIProductivity #Perplexity #TechReview #ProductivityTools ⏱️ Timestamps 0:00 - Quick Take: Best & Worst of Comet 0:06 - Onboarding Experience Review 0:25 - Chrome vs Comet: Design Philosophy 0:46 - Email Automation Deep Dive 1:14 - Channel Introduction 1:38 - 30-Day Review Overview 2:10 - What is Comet Browser? 2:35 - The Good: Zero-Friction Setup 2:57 - The Bad: Multi-Profile Limitations 3:28 - Power User Perspective 4:21 - UI/UX Comparison with Chrome 4:46 - The Assistant Experience 5:10 - Use Case #1: LinkedIn Recruiter Management 6:11 - Use Case #2: Podcast Guest Filtering 7:19 - Use Case #3: Job Application Tracking 7:58 - Email Intelligence Testing 8:45 - Small Business Owner Applications 9:23 - Automation Possibilities (Invoicing, Follow-ups) 9:49 - Community Call-to-Action 10:16 - Final Thoughts & What's Next Primary Tags: Comet browser review Perplexity Comet AI browser 2024 Chrome alternative Product management tools AI productivity tools Browser automation Comet browser tutorial Secondary Tags: Product manager productivity Email automation tools LinkedIn automation Job search automation Small business automation AI assistant browser Comet vs Chrome Perplexity browser review 30 day review Tech tool review Everything Product AI tools for PMs Customer support automation Workflow automation Browser AI assistant Long-tail Tags: How to use Comet browser for job search Comet browser email automation tutorial Is Comet browser worth it for product managers Best AI browser for small business Perplexity Comet browser honest review

🚀 Product Managers, This Changes Everything! We put two powerful AI tools head-to-head: Comet Browser vs ChatGPT Agent, testing them on real customer research for DocuSign. The results will surprise you! What We Cover: ✅ Live comparison of AI-powered customer research ✅ Real-world DocuSign review analysis (6 months of data) ✅ Speed vs accuracy trade-offs ✅ Which tool actually saves PMs the most time ✅ Actionable insights you can use immediately Key Findings: Comet completed analysis in SECONDS vs ChatGPT's minutes Both identified similar pain points (billing issues, customer support) Critical differences in presentation and believability Game-changing impact: What used to take 1+ month now takes 10 minutes Tools Covered: 🔧 Comet Browser (Perplexity's agentic browser) 🔧 ChatGPT Agent (computer use + deep research) 🔧 Real integrations: Gmail, WhatsApp, and more Perfect for: Product Managers doing customer research Anyone evaluating AI tools for work Teams looking to 10x their research speed Discovery and analysis workflow optimization Timestamps in comments ⬇️ About Everything Product Podcast: We explore the latest technologies and product management concepts, with deep dives into AI tools that are reshaping how PMs work. Hosts: Phani - Product Manager at startup Sidhu - Product Manager at startup 🔔 Subscribe for more PM AI tool comparisons! 📧 Questions? Drop them in the comments! #ProductManagement #AITools #CustomerResearch #DocuSign #Productivity Timestamps 00:00 - Introduction & Tool Overview 02:00 - What is Comet Browser? (Perplexity's Agentic Browser) 03:08 - Consumer-Facing PM Persona & Use Case Setup 04:18 - Comet Browser Deep Dive & Capabilities 05:18 - Can Comet Take Actions? (Real Property Management Example) 07:00 - Available Connectors (Gmail, WhatsApp vs Claude's 15+) 08:17 - ChatGPT Agent Explanation (Computer Use + Deep Research) 08:55 - Setting Up DocuSign Analysis Challenge 10:08 - Model Selection: What's Under the Hood? 11:15 - 🔥 LIVE BATTLE BEGINS - Comet vs ChatGPT Speed Test 12:12 - First Results: Comet's Lightning Speed Analysis 13:07 - ChatGPT Agent's Detailed Review Crawling 15:31 - 📊 Results Comparison - Speed vs Detail Trade-off 16:48 - Believability Factor: Why Speed Raised Suspicions 18:42 - DocuSign Pain Points Revealed (Subscription Hell!) 19:12 - Top Bugs & Feature Requests Identified 20:22 - Road Map Recommendations from AI Analysis 21:25 - Final Verdict: Which Tool Wins for PMs? 21:48 - 🚀 Game Changer Moment - 1 Month → 10 Minutes 22:17 - Key Takeaways & Recommendations 🔥 Most Important Sections: 11:15-16:48 - Live tool comparison (Must watch!) 21:48-22:17 - Revolutionary time savings revealed Recommended Tags Primary Tags (High Search Volume): #ProductManagement #AITools #CustomerResearch #ProductManager #AIProductivity Secondary Tags (Specific/Niche): #CometBrowser #ChatGPTAgent #Perplexity #DocuSign #CustomerFeedback #ProductDiscovery #AIComparison #PMTools #TechReview #StartupTools Long-tail Tags (Lower Competition): #ProductManagerAI #CustomerReviewAnalysis #AIResearchTools #PMProductivity #AgenticBrowser #ProductManagerWorkflow

🚀 Historic first: Gemini finally wins against ChatGPT in our tool comparisons! We tested three major video generation tools - Gemini Veo, ChatGPT Sora, and Midjourney - using the exact same prompt to create a promotional video for our podcast. The results shocked us. What we discovered: ✅ Gemini Veo delivered polished video with audio and platform logos ✅ ChatGPT Sora created corporate-style visuals without sound ✅ Midjourney focused on frame-by-frame editing approach Key insights for Product Managers: Why Gemini's deep research now references 100+ sources vs ChatGPT's 50 How ChatGPT's memory feature creates unbeatable context retention Practical video generation use cases for product marketing Tool selection criteria: time, quality, and usability Perfect for PMs exploring AI video tools for marketing, presentations, or product demos. See which tool wins for your specific needs! Tools Covered: Gemini Veo, ChatGPT Sora, Midjourney, prompt engineering strategies #ProductManagement #VideoGeneration #AIComparison #GeminiVeo #ChatGPTSora #midjourney  Timestamps 00:00 - Introduction & Video Generation Tool Comparison Setup 02:06 - Meet the Hosts: Everything Product Team 03:05 - Challenge Setup: Creating 45-Second Promotional Video 03:42 - The Master Prompt: ChatGPT-Generated Strategy 04:50 - Pro Tip: Using ChatGPT to Create Better Prompts 06:02 - Evaluation Criteria: Time, Quality & Usability 06:25 - All Three Tools Begin Generation Process 07:08 - Gemini Veo Results: Professional Video with Audio 8:06 - ChatGPT Sora Results: Corporate Style Visuals 9:14 - Midjourney Approach: Frame-by-Frame Generation Strategy 10:03 - Side-by-Side Comparison: Audio vs Visual Quality 11:40 - WINNER DECLARED: Gemini Wins for First Time Ever 12:06 - Why Gemini 2.5 Pro is Game-Changing for Research 12:29 - ChatGPT's Secret Weapon: Memory & Context Retention 13:34 - Practical Applications: Voice Mode & Personal AI Assistant 14:01 - Closing & Next Tool Comparisons Tags #VideoGeneration #GeminiVeo #ChatGPTSora #Midjourney #AIComparison #ProductManagement #AITools #VideoMarketing #ContentCreation #TechComparison #AIProductivity #PromptEngineering #ProductManagerTools #AIVideo #marketingautomation  Keywords- AI video generator comparison, best AI video tools 2024, how to create promotional videos, AI marketing tools for business, video generation software review, ChatGPT vs Gemini comparison, AI tools for product managers, automated video creation, business video marketing, AI productivity tools, video editing alternatives, marketing automation tools, AI content creation, promotional video maker, tech tool comparison, AI software review, digital marketing tools, content marketing automation, AI for small business, video marketing strategy, artificial intelligence tools, machine learning video, automated content creation, AI business tools, video production software, marketing technology stack, AI comparison 2024, best AI tools review, video creation workflow, AI marketing solutions

🚀 Watch AI do hours of product research in just 9 minutes! In this live demo, we showcase ChatGPT's new Agent mode performing comprehensive competitor analysis for a Zoom PM - and you can see every step it takes in real-time. This is the future of product management research, automated. 🎯 Perfect for Product Managers who want to: Automate competitor analysis and app store research Save hours on manual review collection and analysis Get AI-powered insights on user feedback and pain points Scale their research capabilities with agent workflows Learn practical AI automation for PM tasks 🔥 What You'll See: Live 9-minute agent research session (fully recorded) Real competitor analysis: Zoom vs Google Meet vs Webex Automated app store review extraction and sentiment analysis AI identifying top user complaints and feature gaps Comparison with other agent platforms (N8N, Lindy, Zapier) 💡 Key Insights Discovered: Battery drain issues plaguing Zoom users Google Meet's login limitations with phone numbers Webex receiving mostly negative recent feedback Automated rating and review volume analysis 🛠️ Tools Covered: ChatGPT Agent Mode (Deep Research + Computer Use) N8N workflow automation platform Lindy drag-and-drop agent builder Comet Browser comparison Enterprise automation possibilities ⚡ PM Use Cases Discussed: Automated lead generation and outreach YC founder research and contact extraction Market research and industry analysis Daily workflow automation (email responses, approvals) Code analysis and system documentation 👥 Hosts: Everything Product Team Srinath Kotela Special mention: Flavor Fusion Foods 🎯 Why This Matters for PMs: This isn't just another AI demo - it's a practical guide to scaling your research capabilities. See how AI can handle the grunt work while you focus on strategic decisions. ⚠️ Enterprise Note: Ensure your company policies allow AI tool usage, especially in regulated industries like banking and healthcare. #ProductManagement #ChatGPTAgent #AIAutomation #CompetitorAnalysis #ProductResearch #PMTools Timestamps: 00:00 - Introduction & What We Want AI to Automate 02:13 - ChatGPT Agent Explained: Deep Research + Computer Use 05:53 - Agent Platforms Comparison: N8N vs Lindy vs Zapier 07:42 - Live Demo Setup: Zoom Competitor Analysis 10:45 - Agent in Action: Real-time App Store Research 12:10 - Comet vs ChatGPT Agent Comparison 14:22 - Use Case: YC Founder Research & Outreach Automation 16:31 - Flavor Fusion Business Use Cases 17:58 - N8N Platform Walkthrough & Workflow Builder 20:01 - Research Results: 9-minute Analysis Complete 20:47 - Key Findings: User Pain Points & Competitor Insights 22:25 - PM Automation Ideas: Daily Workflows 24:32 - Advanced Use Cases: Code Analysis & System Documentation 26:14 - Closing & Call for Part 2 on N8N/Lindy Tags: #ChatGPTAgent #ProductManagement #AIAutomation #CompetitorAnalysis #ProductResearch #AppStoreAnalysis #PMWorkflow #AIProductivity #AgentAutomation #MarketResearch #TechDemo #ProductStrategy #AITools #WorkflowAutomation #N8N #Lindy #ZapierAutomation #ProductManagerTools #AIForPMs #ResearchAutomation

GAME CHANGER ALERT! We explored Perplexity's new Comet Browser - and it's like Chrome and ChatGPT had a baby! Watch as we demonstrate how this AI-powered browser can automatically apply to jobs, analyze your portfolio, and perform competitor research while you're logged into your accounts. 🔥 What You'll See: ✅ Auto-applied to 8 jobs on LinkedIn using Easy Apply ✅ Real-time portfolio analysis with investment recommendations ✅ Competitor research on Lenny's Newsletter (sorry Lenny! 😅) ✅ Live web scraping and action-taking capabilities ✅ Seamless Chrome profile import - zero friction switching 💡 Perfect for Product Managers who want to: Automate repetitive research tasks Get AI assistance while browsing authenticated sites Streamline competitive analysis workflows Save hours on manual data collection ⚠️ Important: Only use if your company allows AI tools. Banking/healthcare workers, check your policies first! Key Timestamps: 0:00 - Introduction & Product Overview 2:30 - Seamless Chrome Migration Demo 5:06 - LinkedIn Job Application Automation 11:21 - Competitor Analysis (Lenny's Podcast) 13:16 - Real-time Web Content Analysis 15:13 - Portfolio Management Demo 22:28 - Voice Mode Capabilities 24:03 - Final Thoughts & Recommendations Subscribe for more AI product demos Comment your favorite use case below Share if this would help your workflow! 🏷️ Tags: #ProductManagement #AITools #CometBrowser #Perplexity #Automation #AIAgents #ProductDemo #WorkflowOptimization #ProductManagement #AITools #CometBrowser #Perplexity #AIAgents #Automation #ProductDemo #AIBrowser Secondary Tags (Targeted) #WorkflowOptimization #ProductManagerTools #CompetitorAnalysis #LinkedInAutomation #AIProductivity #BrowserAI #PMTools2025 #TechDemo Long-tail Tags (Specific Use Cases) #AutomatedJobApplications #AIPortfolioAnalysis #ProductManagerWorkflow #AICompetitorResearch #ProductManagementAutomation 📊 ROI Statistics to Highlight: 8 job applications in minutes vs. hours of manual work Instant competitor analysis vs. days of research Real-time authenticated data access vs. manual exports 🚀 Call-to-Action Ideas: "Which use case would save you the most time?" "What authenticated site would you want this to work with?" "Should we do a deeper dive on enterprise use cases?

In this episode, we sit down with Ankur Choudhary, a serial FinTech entrepreneur and IIT Kanpur alumnus, to discuss his journey from working at hedge funds to building two impactful startups: Goalwise and his current venture, Belong.Ankur shares the story behind Belong, a platform designed to simplify investing in India for Non-Resident Indians (NRIs). [cite_start]He delves into the significant challenges NRIs face, from complex KYC processes and the need for an active Indian mobile number [cite_start]to navigating double taxation and the difficulties of repatriating funds.Discover how Belong is leveraging India's new GIFT City, a special economic zone with its own financial regulator, to overcome these hurdles. [cite_start]Ankur explains how this innovative regulatory framework allows for USD-denominated investments, easier fund transfers, and a more streamlined, tax-friendly experience for the Indian diaspora.[cite_start]Join us as we explore Ankur's entrepreneurial path, the lessons learned from his first startup, Goalwise [cite_start], his experience as a VC investor, and his insights on building a product, fundraising, and identifying the right time to exit.This episode is a must-watch for aspiring entrepreneurs, product managers, and anyone interested in the future of FinTech and investment in India.