Prompt and Circumstance

DescriptionDavid and Ilan take Outbond for a spin, the new "vibe GTM" tool from Christian Peverelli that promises to turn lead generation into a conversation with AI—complete with prospect scraping, Perplexity-powered research, and personalized outreach that's either the future of sales or another reason your inbox is about to get interesting.Chapters[00:22] - Introducing Outbond: The Vibe GTM Tool[02:14] - Exploring the Landing Page and Pricing[05:34] - Generating Prospects from a Website[08:13] - Research Angles and Lead Enrichment[10:39] - Creating Personalized Outreach Emails[13:33] - Final Thoughts and Market FitBusiness ApplicationsGenerate targeted prospect lists by simply providing your website URL and letting the AI infer your ICPEnrich leads with custom research angles like organizational initiatives or hiring activity using Perplexity-powered deep researchExport personalized email copy and contact data as CSV for mail merge workflowsSponsorsQuerio → querio.aiLinksOutbond - https://outbond.ai/WeAreNoCode YouTube (Christian Peverelli) - https://www.youtube.com/c/WeAreNoCodeLovable - https://lovable.dev/Lindy.ai - https://www.lindy.ai/Perplexity - https://www.perplexity.ai/Xing - https://www.xing.com/Find UsYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

David and Ilan tackle a very practical problem of copyright flags on their podcast music by generating a new theme song with Suno. Along the way, they explore:How to get great prompts for AI tools using NotebookLMSuno's interesting PLG viral loops to help with RLHFWhy the music industry has a lawsuit against SunoChapters[00:16] - The Copyright Problem and AI Music Solution[01:25] - Suno's $2.45 Billion Valuation[02:05] - Crafting the Perfect Suno Prompt[04:06] - Creating the Theme Song[09:29] - Earning Credits Through Human Feedback[12:02] - The Music Industry Lawsuit Against SunoSponsorsQuerio: Your AI Data analyst → querio.aiLinksSuno - https://suno.com/NotebookLM - https://notebooklm.google.com/Find UsYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

Sefunmi Osinaike, co-founder of Co.Lab and author of "How to Product," joins David and Ilan to explore his company's bold pivot from B2C to B2B, why distribution has become the real competitive moat in the AI era, and how to validate customer willingness to pay without building a single landing page.CHAPTERS[00:25] - Introduction and Welcome[01:29] - Who is Sefunmi and Co.Lab's Evolution from B2C to B2B[04:55] - Distribution is the New Moat in the AI Era[19:06] - Validating Customer Willingness to Pay in B2B[23:19] - AI Tools for Validation and SalesGUESTSefunmi Osinaike - Co-Founder at Co.Lab | LinkedIn: https://ca.linkedin.com/in/sefunmiosinaikeSPONSORSQuerio → querio.aiLINKSCo.lab: https://www.joincolab.io/The Mom Test: https://www.momtestbook.com/ $100M Leads: https://shop.acquisition.com/products/single-hardback Replit: https://replit.com/Lovable: https://lovable.dev/GPT: https://chatgpt.com/Claude: https://claude.ai/ Exa: https://exa.ai/websets FIND USIlan: https://www.linkedin.com/in/ilan-rotenberg/ David: https://www.linkedin.com/in/dvuong/YouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

DescriptionIlan goes solo to test AI Context Flow, a Chrome extension promising to end the endless copy-pasting of context between ChatGPT, Claude, and other AI tools. Does it actually work, or is it just adding to the chaos?Chapters[00:00] - Introduction and Episode Overview[01:15] - AI Context Flow: What It Promises to Solve[02:42] - Testing in ChatGPT: First Impressions[06:05] - Moving to Claude: UX Bugs and Workarounds[10:32] - Pricing Tiers and Final Recommendation3 Key TakeawaysAI Context Flow solves a real problem: The Chrome extension lets you save context once and reuse it across ChatGPT, Claude, and Perplexity, eliminating repetitive copy-pasting between toolsThe tool needs polish: While the core concept works, UX bugs require workarounds like clicking in and out to properly load saved contexts, and it's not yet available in all AI platformsBest for specific users: Most valuable if you frequently switch tools with changing daily context; less useful if you already have a stable context library you can copy-pasteSponsorsQuerio → querio.aiLinksAI Context Flow - https://chromewebstore.google.com/detail/ai-context-flow-improved/cfegfckldnmbdnimjgfamhjnmjpcmgnfPlurality Network - https://plurality.network/Product Hunt - https://www.producthunt.com/products/ai-context-flowChatGPT - https://chatgpt.com/Claude - https://claude.ai/Google AI Studio - https://aistudio.google.com/Perplexity - https://www.perplexity.ai/Mistral Le Chat - https://chat.mistral.ai/Find UsYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

DescriptionDavid and Ilan break down Microsoft's ambitious Co-Pilot updates (including a feature Ilan swears they stole from him), compare AI browsers in real-time with one literally hallucinating its own downloads, and explore why OpenAI's restructuring might have you passing the same $10 bill around like a Three Stooges routine.Chapters[00:35] - Microsoft Fall Update and Co-Pilot Features[04:39] - Real Talk Feature and Sycophantic AI[08:43] - AI Browser Showdown: Comet vs Copilot in Edge[10:56] - Security Vulnerabilities in AI Browsers[12:53] - OpenAI's Restructuring and Going PublicSponsorsQuerio: never wait for product insights again → querio.aiLinksMicrosoft Fall Update - https://youtu.be/j4jXM8yTdnQMicrosoft Fall Update blog post - https://www.microsoft.com/en-us/microsoft-copilot/blog/2025/10/23/human-centered-ai/ H1 - https://h1.co/ Perplexity Comet - https://www.perplexity.ai/cometComet Vulnerabilities pt. 1 - https://brave.com/blog/comet-prompt-injection/Comet Vulnerabilities pt. 2 - https://brave.com/blog/unseeable-prompt-injections/ Atlas security vulnerability - https://www.esecurityplanet.com/news/openai-atlas-vulnerability/ 3 Stooges bit - https://youtu.be/1aVYJ-krSMA?si=wu_Im8bkc95mgJvW&t=9 Find UsYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

From Wix’s upsell hell and clunky prompts to Lovable and Base44’s near-perfect prompt adherence, the hosts break down what separates gimmicky automation from true AI leverage. If you’re building, shipping, or just curious how far AI website builders have come.  This episode is your filter for signal over noise.CHAPTERS[00:00] - Intro[02:41] - The showdown starts[03:03] - Wix[12:00] - Lovable[15:09] - Base 44[18:33] - ConclusionsLINKSQuerio: Natural language analytics for your product team - https://bit.ly/panc_querioBase 44 - https://base44.com/ Wix - https://www.wix.com/ Lovable - https://lovable.dev/  FIND USYouTube: https://www.youtube.com/@PandCpodcast Bluesky: https://bsky.app/profile/pandcpodcast.bsky.social X: https://x.com/_pandcpodcast Instagram: https://www.instagram.com/_pandcpodcast LinkedIn: https://www.linkedin.com/company/p-and-c-podcastMUSICOleksandr SavochkaClick here to watch a video of this episode.

Most people think building a powerful AI copilot takes months of coding and a team of engineers, but in this episode Ilan shows how he built one in just one evening that could plan strategy, analyze competitors, write product documents, and even automate workflows. We break down exactly how to set up your system prompt, feed it real context, and use recursion to make it smarter with every iteration, plus how to turn it into a productivity machine that does the work of an entire product team. If you have ever wished for an AI business partner that actually thinks with you, this is the blueprint.CHAPTERS[00:00] - Introduction & Setting the Stage[01:25] - Building an AI Copilot from Scratch[09:30] - Enhancing the Copilot with Research & Requirements[15:40] - Automations, Applications & Final TakeawaysLINKSQuerio: Natural language analytics for your product team - https://bit.ly/panc_querioTal Raviv’s post on Lenny’s Newsletter - https://www.lennysnewsletter.com/p/the-super-ic-pm-tal-ravivFIND USYouTube: https://www.youtube.com/@PandCpodcast Bluesky: https://bsky.app/profile/pandcpodcast.bsky.social X: https://x.com/_pandcpodcast Instagram: https://www.instagram.com/_pandcpodcast LinkedIn: https://www.linkedin.com/company/p-and-c-podcastMUSICOleksandr SavochkaClick here to watch a video of this episode.

DescriptionDavid and Ilan catch you up on the flurry of AI news from mid-October, from Anthropic's latest Sonnet release to OpenAI's Dev Days announcements. Plus, they dive deep into Sora 2's video generation capabilities and share the structured prompting techniques that actually work for creating multi-shot videos (including mountain-biking dogs).Chapters[00:38] - Anthropic Sonnet 4.5 and Full-Stack Coding Tools[03:19] - Microsoft's Text-to-Audio Models[06:09] - OpenAI's Big Announcements: Commerce, Sora 2, and Dev Days[12:24] - AI Slop Goes Corporate and Lionsgate's Failed Experiment[14:56] - Sora 2 Deep Dive and Video Creation TechniquesSponsorsQuerio: your AI data analyst → querio.aiLinksAnthropic Claude - https://www.anthropic.com/news/claude-sonnet-4-5Lovable - https://lovable.dev/cloudBolt - https://bolt.new/blog/bolt-v2Microsoft Copilot Labs - https://copilot.microsoft.com/labsOpenAI - https://openai.com/devday/Sora - https://sora.chatgpt.com/Runway & Lionsgate - https://3dvf.com/en/generative-ai-one-year-later-the-runway-lionsgate-alliance-faces-reality/Deloitte & AU government - https://fortune.com/2025/10/07/deloitte-ai-australia-government-report-hallucinations-technology-290000-refund/Find UsYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

DescriptionIlan takes David on a deep dive into N8N, the workflow automation platform that's somehow worth $2.3 billion despite making developers set up Google API projects manually. They explore how this "Goldilocks" tool sits between Zapier's simplicity and full-on coding, with Ilan walking through his real-world workflow that automates LinkedIn posts from podcast episodes—complete with all the nerdy technical hurdles he encountered along the way.Chapters[00:28] - What is N8N and Why It Exists[03:58] - N8N's Meteoric Rise and Funding Rounds[06:38] - Pricing Model and Developer Community[08:28] - How Workflows and Agents Work in N8N[10:06] - Building a Real Workflow: LinkedIn Post Automation[16:18] - Lessons Learned and RecommendationsBusiness Use Cases/ApplicationsAutomated social media content creation workflow using webhooks, AI agents, and Google integrations to draft LinkedIn posts from podcast transcriptsSetting up custom API connections in Google Cloud Platform to enable N8N integrations with Drive and GmailUsing N8N's code nodes to run custom JavaScript or Python for data transformation within workflowsSponsorsQuerio → https://querio.ai LinksN8N - https://n8n.ioTransistor - https://transistor.fmLindy AI - https://www.lindy.aiZapier - https://zapier.comSequoia Capital - https://www.sequoiacap.comFind UsYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

DescriptionIlan puts Lindy.ai to the test for podcast automation and customer discovery, only to find himself debugging workflows until 2 AM while his wife waits for date night. David and Ilan break down what works, what doesn't, and how Lindy compares to ChatGPT's agent mode.Chapters[00:00] - How Lindy Ruined Date Night[03:34] - The Lindy Workflow Disaster[08:11] - Pricing and Credits Problem[13:17] - Integration Issues and Hallucinations[23:00] - What Actually Works Well[30:08] - Final Verdict and AlternativesSponsorsQuerio → https://querio.ai LinksLindy.ai - https://www.lindy.aiTransistor - https://transistor.fmN8N - https://n8n.ioZapier - https://zapier.comCrunchbase - https://www.crunchbase.com/organization/lindyFind UsYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

DescriptionDavid and Ilan take you on a Nano Banana Bonanza and explore Google's viral image generation model. They tell you why it's creating such a buzz, how to use it effectively, and practical business applications beyond viral memes.Chapters[00:00] - What is Nano Banana and Why the Hype?[02:26] - Identity Preservation: The Secret Sauce[04:22] - Live Demo: Creating a Tech CEO Meme[08:30] - When AI Struggles: Multiple People Problems[09:15] - Pro Tips for Better Results[11:17] - 91 Use Cases: Beyond the Basics[12:23] - Business Applications: Slides and Mockups[14:55] - Cost and Speed AdvantagesKey TopicsIdentity Consistency: How Nano Banana preserves facial features across transformationsStep-by-Step Approach: Breaking complex generations into manageable piecesContext Limitations: Why multiple people in scenes cause problemsBusiness Applications: From presentation slides to app prototypesSpeed vs Quality: Fast generation with reroll capabilitiesNatural Language Prompting: Less technical jargon requiredPro TipsDo complex edits one step at a timeExtract elements (like clothing) separately before combiningUse the reroll button liberally - variability is expectedFewer people in scenes = more consistent resultsLeverage the 91 examples repository for inspirationSponsorQuerio – AI-powered data analysis tool for natural language product queries  → Try it at querio.aiLinksAccess Nano Banana: aistudio.google.com91 Use Cases Repository: https://github.com/PicoTrex/Awesome-Nano-Banana-images/blob/main/README_en.md E-boy image style examples: https://www.eboy.com/?srsltid=AfmBOoo4zi4NY619ErO9PV-Qobf6ClOBK3kjuuVyboNxhoPNlHf8eN2VFind UsYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastInstagram - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

David and Ilan dive into the news from the last week of AI and Vibe Coding, covering shifting partnerships between tech giants, breakthrough achievements in AI capabilities, and emerging concerns around safety and security. SponsorQuerio - AI agent for natural language data insights https://querio.ai Chapters00:00 - OpenAI Diversifies: $300B Oracle Cloud Deal 03:15 - Microsoft Chooses Anthropic Over OpenAI for Office 05:26 - Claude's New File Creation and Team Memory Features 06:38 - Google Report: 15% Productivity Gains (With Caveats) 08:54 - Child Safety Concerns with Meta's AI Characters 10:06 - Breaking: GPT-4.5 Passes the Turing Test 12:59 - AI Models Enter Fashion: Synthetic Vogue Campaign 16:15 - Security Alert: Claude Used in $17M Extortion Scheme LinksOpenAI to use Oracle for compute: https://finance.yahoo.com/news/openai-oracle-reportedly-ink-historic-190034718.html Microsoft uses Anthropic for Office AI: https://www.reuters.com/business/microsoft-use-some-ai-anthropic-shift-openai-information-reports-2025-09-09/ Claude can edit files: https://www.anthropic.com/news/create-files Claude memory for teams: https://www.anthropic.com/news/memory Google AI Cloud Trends Report: https://services.google.com/fh/files/misc/google_cloud_ai_trends.pdf Meta AI safety report: https://www.reuters.com/investigates/special-report/meta-ai-chatbot-guidelines/ Regulators investigating Meta: https://www.nytimes.com/2025/09/11/technology/google-meta-chatgpt-ai-chatbots.html UC San Diego Turing Test Study: https://arxiv.org/pdf/2503.23674 Vogue AI model ad: https://www.bbc.com/news/articles/cgeqe084nn4o Vibe Hacking with Claude: https://www.nbcnews.com/news/amp/rcna227309 Find Us- YouTube: https://www.youtube.com/@PandCpodcast - Bluesky: https://bsky.app/profile/pandcpodcast.bsky.social - X: https://x.com/_pandcpodcast - Instagram: https://www.instagram.com/_pandcpodcast - LinkedIn: https://www.linkedin.com/company/p-and-c-podcast

CHAPTERS[00:00] Intro[02:33] Defining problems using AI[06:07] Generating hypotheses using AI[12:30] The Mom Test[15:04] Next StepsSPONSORQuerio - https://bit.ly/panc_querioLINKSThe Mom Test - https://www.momtestbook.com/Music by Oleksandr SavochkaFIND USYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastIG - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

DESCRIPTION David and Ilan catch you up on the latest AI news, covering OpenAI's new budget tier, why 95% of AI projects fail, and Google's impressive new image generation capabilities.OpenAI's $5 "Go tier" expands AI access globallySmall language models finding their niche in manufacturingMIT report reveals harsh reality: 95% of AI projects failWorld models represent the next evolution beyond LLMsGoogle's Nano Banana delivers lightning-fast image generationCHAPTERS [00:00] - OpenAI's Go Tier: $5 AI for Global Markets [06:13] - Latam-GPT: Regional AI for Latin America[07:13] - Small Language Models vs. LLMs [12:34] - MIT Report: Why 95% of AI Projects Fail [16:43] - Accenture CEO's Red Flags for AI Adoption [20:33] - World Models: Beyond Language Understanding [26:12] - Google's Nano Banana Image Generation DemoKEY LINKSSmall language models https://www.wired.com/story/why-researchers-are-turning-to-small-language-models/https://developers.googleblog.com/en/google-ai-edge-small-language-models-multimodality-rag-function-calling/https://aimagazine.com/news/llms-vs-slms-how-ai-models-impact-sustainabilityWorld Models https://www.theguardian.com/technology/2025/aug/05/google-step-artificial-general-intelligence-deepmind-agihttps://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/https://www.youtube.com/watch?v=eyrDM3A_YFc&ab_channel=NVIDIADeveloperVsim https://techcrunch.com/2024/09/25/vsim-founded-by-nvidia-alums-raises-21-5m-for-robotics-simulation-tech/GPT Go https://www.windowscentral.com/artificial-intelligence/openai-chatgpt/openai-quietly-launches-chatgpt-go-in-limited-regionshttps://x.com/btibor91/status/1955170910694183005https://www.forbes.com/sites/rebeccasadwick/2020/06/22/how-to-price-products/Latam-GPT https://www.wired.com/story/latam-gpt-the-free-open-source-and-collaborative-ai-of-latin-america/95% of AI project fail https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdfAccenture CEO on failed AI projects https://fortune.com/2025/08/31/accenture-ceo-julie-sweet-ai-advice-success/Nano Bananahttps://blog.google/products/gemini/updated-image-editing-model/SPONSORSCo.Lab – Turn your idea into a working product with your first customers pre-loaded. Get $250 off here → https://bit.ly/pandc_colabQuerio – AI agent for natural language data insights. Use this link to book a demo and get 2 months free ($1,200 value) → https://bit.ly/panc_querioFIND US YouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcast IG - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcast

Welcome to season 2! In this season, David and Ilan are exploring the process of becoming an AI native product team by building a product from scratch using AI tools along the way. This week, you’ll get to hear about how they’re thinking of building a product and how deep research does just a mediocre job at coming up with business ideas.Chapters00:13 Building in Public: The Journey Begins03:36 Exploring Problem Discovery10:54 Niche Markets and Personal Interests15:30 Evaluating GPT-Generated Problems24:53 Sustainability and Consumer Choices31:29Exploring AI Tools for DiscoveryLINKSIlan’s product for teachers: https://teachr.me/Bastion Cycles: https://bastioncycles.com/Allura Red - https://web.archive.org/web/20170502145045/https://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/FoodAdvisoryCommittee/UCM248549.pdfSPONSORS Co.Lab Build Co-Pilot – Turn your idea into a working product with your first customers pre-loaded→ https://bit.ly/pandc_colabQuerio – Natural language analytics for your product team→ https://bit.ly/panc_querioFIND US YouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.social X - https://x.com/_pandcpodcast IG - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcastMusic: Oleksandr Savochka

Nabeel Khan shares his journey from operations manager to Amazon's youngest Senior PM, and why he believes product management will thrive alongside AI development.What we cover:Career progression from warehouse operations to senior product leadershipWhy product management fundamentals remain critical as AI tools evolveThe emergence of "vibe coding" in PM interviews and what it meansHow AI prototyping tools are changing product development workflowsPractical advice for growing your PM career in an AI-integrated workplaceCHAPTERS[00:00] - Introduction to Nabeel[08:03] - The Future of Product Management[24:23] - Getting Hired and Hiring StrategiesLINKSNabeel Khan - https://www.linkedin.com/in/nabeel-y-khan/Nabeel’s company: Nayru - https://www.linkedin.com/company/trynayru/Madhu Guru - Google moving from a writing first culture to a building-first one: https://x.com/realmadhuguru/status/1950336434126336154?s=46&t=ipsnrJAOf8pNNhup0-xHnQVibe coding interview post: https://www.linkedin.com/posts/nabeel-y-khan_google-tech-productmanagement-activity-7349447677396312065-AyIo?utm_medium=ios_app&rcm=ACoAAA1kDVQBLeuCVf2Li66BAzt9_K3rn_283dU&utm_source=social_share_send&utm_campaign=copy_linkJobs to be done: https://www.christenseninstitute.org/theory/jobs-to-be-done/SPONSORSCo.Lab Build Co-Pilot – Turn your idea into a working product with your first customers pre-loaded→ https://bit.ly/pandc_colabQuerio – Natural language analytics for your product team→ https://bit.ly/panc_querioClick here to watch a video of this episode.

DESCRIPTIONIlan interviews Rami, co-founder of Querio, about his journey from Amazon operations to product management to founding an AI-enabled startup. Rami drops knowledge on what PMs need to know when starting a company.From warehouse operations to Alexa PM to AI startup founderBuilding Querio: AI-native business intelligence platformThe art of "un-AI-ing" - when to remove AI from workflowsShape Up framework and startup product developmentReal AI workflows that actually help product teamsCHAPTERS[00:00] - Rami's background: From Amazon warehouses to Alexa PM[10:48] - Founding Querio and startup lessons learned[19:39] - Querio demo: AI-powered data queries in action[27:40] - "Un-AI-ing" your product and AI philosophy[34:39] - Shape Up framework and where to find RamiGUESTRami - LinkedIn: /in/datarami | X: @ramiabh | Calendar: calendly.com/ramiabhSPONSORSQuerio – AI-native business intelligence platform for self-service data analytics → https://querio.aiLINKSReid Hoffman quote - https://x.com/reidhoffman/status/847142924240379904?lang=en FIND USYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastIG - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

DESCRIPTIONIlan and David demystify AI agents and show you that building them is more accessible than you think! They explore the difference between "agentic AI" and true "AI agents," walk through a practical framework, and build a working news summarization agent live using Replit.What makes an AI agent vs. agentic AIBreaking down agent development with product thinkingLive building demo: news summarization agentWhy the barrier to entry is lower than expectedCHAPTERS[00:00] - Intro & Defining AI agents vs agentic AI[06:18] - Testing the framework with examples[10:06] - Breaking down the news agent problem[13:39] - Step-by-step agent building tutorial[20:13] - Technical implementation strategy[23:59] - Live building demo in Replit[27:51] - Results and key takeawaysSPONSORSQuerio – Natural language analytics for your product team. Two-month free trial for listeners. → https://bit.ly/panc_querioCo.Lab Build Co-Pilot – Turn your idea into a working product with your first customers pre-loaded. $250 off for listeners. → https://bit.ly/pandc_colabFIND USYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastIG - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

DESCRIPTIONDavid is joined by Ray Kanani and Adam Kropf to discuss the evolving role of AI in product management, exploring its implications for society, practical applications, and the skills needed for product managers in this new era.* How AI shifts the product manager’s job* What expertise means in an LLM-powered world* Why puzzles (yes, puzzles!) are a form of rebellion* And the role of passion in the future of workCHAPTERS[00:00] - Intro[01:00] - Intelligence going to zero[03:30] - Is the hype real? Or are we hitting a plateau?[05:00] - Cheap intelligence, expensive expertise[07:00] - Using AI to challenge your own thinking[09:00] - Marketing stacks are now AI-only[10:30] - The sparring partner: ChatGPT with context memory[12:00] - Voice interfaces and anthropomorphism[17:00] - AI assistants vs. human patterns[20:00] - Product skills that still matter: discovery, storytelling, context[23:00] - What would you build if money didn’t matter?[26:00] - The case for analog experiences: puzzles & purpose[29:00] - Where to find Ray & AdamSPONSORS**Co.Lab Build Co-Pilot** – Turn your idea into a working product with your first customers pre-loaded→ https://bit.ly/pandc_colab**Querio** – Natural language analytics for your product team→ https://bit.ly/panc_querioLINKSAdam Kropf - https://www.linkedin.com/in/akropf/Ray Kanani - https://www.linkedin.com/in/raykanani/Good Fortune Puzzle Co. - https://goodfortunepuzzleco.com/FIND USYouTube - https://www.youtube.com/@PandCpodcastBluesky - https://bsky.app/profile/pandcpodcast.bsky.socialX - https://x.com/_pandcpodcastIG - https://www.instagram.com/_pandcpodcastLinkedIn - https://www.linkedin.com/company/p-and-c-podcast

What if you could get a comprehensive market analysis that would normally take weeks of research in just 13 minutes, complete with competitor breakdowns, financial projections, and strategic frameworks? In this episode, we put AI's newest "deep research" capabilities to the ultimate test, pitting Gemini, ChatGPT, and Perplexity against each other in a head-to-head battle to analyze the explosive $30 billion vibe coding market. While AI companies are raising billions and getting acquired overnight (we're looking at you, Windsurf drama), we discovered which AI tool actually delivers actionable insights versus pretty charts with outdated data. And the results might surprise you! Whether you're a product manager hunting for market opportunities or just someone who wants to stop spending countless hours on research rabbit holes, this deep dive reveals which AI research assistant deserves a more prominent spot in your workflow.CHAPTERS[00:00] - News[06:02] - The Setup[10:52] - Perplexity[20:10] - Gemini[28:46] - GPT[40:38] - ConclusionSPONSORS Build Co-Pilot - https://bit.ly/pandc_colab Querio - https://bit.ly/panc_querioNEWS Open AI releases ChatGPT agent: https://openai.com/index/introducing-chatgpt-agent/Lovable raised 200M at 1.8B valuation: https://techcrunch.com/2025/07/17/lovable-becomes-a-unicorn-with-200m-series-a-just-8-months-after-launch/Windsurf reverse acqui-hire by Google, then acquisition by Cognition (makers of Devin): https://devops.com/cognition-ai-to-acquire-windsurf-after-google-licensing-deal/FIND USYouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.social X - https://x.com/_pandcpodcast IG - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcastClick here to watch a video of this episode.