Podcast
Prompt and Circumstance
Hosted by David Vuong and Ilan Rotenberg · EN
Real professional product people review AI tools!
19episodes
Episodes
Newest firstAll episodes
Total Freedom! How to Generate Audio Locally
Mar 1000:20:10Tap to summarizeWe teach you how we are generating music and speech entirely on a local machine using open source models in ComfyUI, no cloud subscriptions to ElevenLabs or Suno required. You'll see how ACE-Step 1.5 produces full pop songs from a text prompt and how Qwen3-TTS clones voices from a short audio clip, all on consumer-grade hardware.Chapters00:00 - Intro and What We're Covering00:56 - Making Music Locally with ACE-Step 1.502:47 - Setting Up the Workflow in ComfyUI04:40 - Prompting for Songs: Descriptions, Lyrics, and Settings10:22 - Generating an Instrumental EDM Track with Gemini12:43 - Local Speech Generation and Voice Cloning with Qwen3-TTS18:18 - Deepfake Concerns and Wrap UpSponsorsQuerio → querio.aiDevil Wears Product (Merch Store) - https://devilwearsproduct.shopLinksACE-Step 1.5 (GitHub) - https://github.com/ace-step/ACE-Step-1.5ACE-Step 1.5 (Hugging Face) - https://huggingface.co/ACE-Step/Ace-Step1.5Qwen3-TTS (GitHub) - https://github.com/QwenLM/Qwen3-TTSComfyUI-Qwen-TTS (ComfyUI Nodes) - https://github.com/flybirdxx/ComfyUI-Qwen-TTSComfyUI - https://www.comfy.org/ElevenLabs - https://elevenlabs.ioSuno - https://suno.comGoogle Gemini - https://gemini.google.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
Transcribe →
RAG, Clearly Explained
Feb 2400:24:35Tap to summarizeBuild your own RAG (Retrieval Augmented Generation) agent in 25 minutes. If you're building AI products, or you want to be, you've heard the term thrown around. We believe in learning by doing, so on this episode we teach you how to build your own RAG agent from scratch. You'll learn key terminology like vector store and embedding, and you'll have a working agent by the end. Walk away with the confidence to talk about RAG with your business and technical stakeholders.The workflow examples from this episode are available for download on Github here. Simply open a new workflow, click the import from URL button, and paste the link from Github.A step-by-step guide can be found here.Chapters00:00 - What Is RAG and Why Product Teams Should Care04:10 - Tools and Prerequisites for the Build07:07 - Building the Data Ingestion Workflow in N8N13:11 - Connecting Embeddings and Document Loaders17:20 - Building the Chat Agent21:50 - Testing the RAG Agent LiveKey TopicsRAG (Retrieval Augmented Generation): How RAG lets an LLM search over specific documents instead of pulling from its entire training dataVector Databases: What they are, how they store information for LLM retrieval, and why Supabase works well for thisEmbeddings Models: How Cohere's embedding model translates text into a format LLMs use for similarity searchN8N Workflow Setup: Step-by-step walkthrough of building both the data ingestion and chat agent workflowsDimension Matching: Why your embeddings model and database table must use the same number of dimensions or your results will be uselessThe Think Tool: How a scratchpad tool helps AI agents remember why they made decisions during multi-step processesMetadata in Vector Stores: Adding properties like author, likes, and retweets to give the LLM more context about stored documentsSponsorsQuerio → querio.ain8n → https://n8n.partnerlinks.io/9tsc8o37mvs2Linksn8n Workflow for Download - https://github.com/canuckamok/agents/tree/main/tweet-ragSupabase - https://supabase.comCohere - https://cohere.com8N - https://n8n.ioX Developer Console - https://console.x.comGoogle NotebookLM - https://notebooklm.googleQuerio - https://querio.aiFind 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
Transcribe →
Privacy First! Setting Up a Local Image Generation Model
Feb 1000:20:30Tap to summarizeDavid shows you how to generate and edit AI images completely free on your own machine using open source models and ComfyUI. This means you can generate AI images without any watermark, no privacy concerns, and no additional API costs. Watch as David takes you through how these models work and shows the amazing results that were good enough to be used in our web store.CHAPTERS00:00 - Welcome and Episode Overview01:18 - Why Local Image Generation Matters02:25 - Getting Started with ComfyUI05:40 - Comparing Qwen Image vs Z Image Turbo12:46 - Image Editing with Flux 2 Klein16:28 - Creating Stock Photos for Your Brand17:54 - Advantages of Local GenerationSPONSORSQuerion8nDevil Wears Product (Merch Store) - https://devilwearsproduct.shop [RELAUNCHING SOON]LINKSComfyUI - https://www.comfy.orgBlack Forest Labs (Flux) - https://bfl.aiQwen-Image-2512 model page - https://huggingface.co/Qwen/Qwen-Image-2512Z-Image-Turbo model page - https://huggingface.co/Tongyi-MAI/Z-Image-TurboFIND 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
Transcribe →
3 Important Lessons For Creating Production Grade Agents
Jan 2700:18:18Tap to summarizeWondering how to take your proof of concept agent to production? Ilan walks through three key lessons from building a competitive analysis agent in n8n, including tips for optimizing your prompts, how to break work into sub-agents, analyze logs, and rethink your workflow design.CHAPTERS00:00 - Intro and Episode Overview01:31 - Sponsor: Querio01:59 - The Competitive Analysis Agent Problem04:29 - Lesson 1: Use Observability and Logs to Debug06:43 - Hitting Token Limits and Iteration Caps09:05 - Lesson 2: Split Into Sub-Agents When Needed12:40 - The Parallel Processing Problem in n8n14:11 - Lesson 3: Sequential Design When Tools Don't Run Parallel16:29 - Wrapping Up and Key TakeawaysKEY LESSONSLesson 1: Use observability and logs to debug agent performance. When the market research agent missed a $100M Series C raise, analyzing n8n logs revealed superficial Perplexity requests, leading to prompt optimization techniques like specifying exact information types (official news, product updates, partnerships, industry coverage) instead of letting the agent decide what to search for.Lesson 2: Split into sub-agents when hitting limits or performance issues. Token limits (10,000 per second on Anthropic) and iteration caps (10 default in n8n) mean one agent doing too many jobs leads to context growth and hallucination risk. Breaking into focused sub-agents (news researcher, sentiment analysis) with specific prompts solves this.Lesson 3: Design for sequential execution when tools don't support parallel processing. n8n runs left to right, top to bottom, so forcing a parallel-looking workflow creates unpredictable execution order. Accepting sequential design and removing deterministic steps (like pulling competitor lists from Google Sheets) from agent control improves reliability.SPONSORSQuerio → querio.ain8n → n8n.ioLINKSDownload the n8n workflow here n8n - https://n8n.ioPerplexity - https://www.perplexity.aiProduct Compass (Pawel Huryn) AI Agent WorkshopFIND 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
Transcribe →
Vibecoding the Cure to Digital Addiction | Interview with Andrew Williams
Jan 1300:31:17Tap to summarizeAndrew Williams, CEO of the Toronto Product Management Association, shares his approach to AI-powered product building. He focuses on his app Heyday Focus that makes it easy to follow best practices for increasing focus while online. He discusses how he started his journey in Lovable, then switched to Claude Code and Cursor. He also dives deep into how to use AI tools to create tasteful designs for consistent, polished development.Chapters 00:00 - Andrew's Background: From Publishing to Music to Product 03:52 - The Focus Problem and Introducing Heyday 09:18 - Vibe Coding Journey: From Lovable to Cursor 12:18 - Heyday Demo: Chrome Extension Walkthrough 16:39 - Feature Scoping and the Shadow App Concept 20:46 - Live Demo: Using Figma Make to Redesign Heyday in an Afternoon 24:14 - Next Steps and Where to Find AndrewGuestAndrew Williams - CEO, Toronto Product Management Association & Founder, HeydayLinkedIn: linkedin.com/in/andrewrwilliams X: https://x.com/andrew_reset Substack: andrew_reset.substack.comSponsors N8N → n8n.io Querio → querio.aiLinks Heyday - https://heydayfocus.com Toronto Product Management Association - https://tpma.ca Figma Make - https://figma.com/make v0 by Vercel - https://v0.dev Cursor - https://cursor.com Claude - https://claude.ai Lovable - https://lovable.dev 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-podcastNote: Andrew will be sharing his Claude Skills files and design philosophy templates - we'll add those links once available!
Transcribe →
From Research Papers to Real Paying Customers: A Technical Founder's Guide to Success
Jan 600:32:25Tap to summarizeWe interview Hira Siddiqui, the technical founder who hit #1 on Product Hunt with AI Context Flow while working full-time. She breaks down how she got okay asking for money, built a productivity tool with a mission, and why the difference between context and memory might be the most important thing you're not thinking about.CHAPTERS00:00 - Introduction and Guest Welcome01:47 - Hira's Background: From R&D to Solutions Architect03:40 - The Origin Story: Self-Sovereign Identity and Data Silos13:29 - The 10x Pivot: When AI Agents Changed Everything26:43 - Context vs Memory: What Most People Get Wrong31:41 - Where to Find Hira and ClosingGUESTHira Siddiqui - Founder of Plurality Network | LinkedIn: https://www.linkedin.com/in/hirasiddiqui247/SPONSORSQuerio → querio.ain8n → n8n.io LINKSAI Context FlowProduct HuntPlurality NetworkHira's Medium Blog on Zero-Knowledge ProofsFIND 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
Transcribe →
AI in 2026
Dec 3000:22:02Tap to summarizeIn this episode, we discuss three major trends they expect to see unfold in 2026, covering the evolution of software products, advances in robotics and AI world models, and critical concerns around AI system security.Book your free workflow audit: https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ3d3TghYnjziKB8uteUuJ-EzEgcTfBXash6vl8XfsjPrp2SbDJSJH-1ZYxqS3zrzgipg-guC-LT SPONSORSN8N → https://n8n.partnerlinks.io/pandcpodcast Querio → https://querio.ai/demo MERCHDevil Wears Product → https://devilwearsproduct.shop/ LINKSRobotics investments: https://hard2beat.vc/insights-resources/robotics-startups-2025-the-who-cares-sector-thats-suddenly-breaking-out/ Genie 3:https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/SIMA 2: https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/1X Neo:https://youtu.be/f3c4mQty_so AI is incomplete without spatial intelligence: https://www.ft.com/content/d8fec7b5-f64a-4c5b-8439-6b8fe557be95 World Labs: https://www.worldlabs.ai/AI safety fail: https://www.reuters.com/business/ai-companies-safety-practices-fail-meet-global-standards-study-shows-2025-12-03/ OpenAI safety departures:https://fortune.com/2024/08/26/openai-agi-safety-researchers-exodus/Anthropic espionage report:https://www.anthropic.com/news/disrupting-AI-espionage CHAPTERS00:00 - Intro00:37 - First Prediction06:34 - Second Prediction14:00 - Third PredictionClick here to watch a video of this episode.
Transcribe →
2025 Wrap Up - Top 25 products of 2025
Dec 2300:36:52Tap to summarizeBook your free workflow audit hereWe count down our top 25 AI products of 2025, from privacy-first chatbots to the coding model that changed everything. You'll hear about which tools democratized software development, why we picked one particular note-taking tool, and which products delivered outsize value for product teams this year.Chapters:00:00 - Starting the Top 25 Countdown02:26 - #25 to #2108:12 - #20 to #1614:14 - #15 to #1119:42 - #10 to #429:04 - #330:41 - #233:20 - #1Sponsors:N8N → n8n.io Querio → https://querio.ai/demo Merch:Devil Wears Product → devilwearsproduct.shopLinks:Outbond - https://outbond.ai/ Lumo - https://lumo.proton.me/about Duck.ai - https://duck.ai/ AI Context Flow - https://plurality.network/blogs/ai-context-flow-for-ai-without-memory/ Meta SAM Audio - https://ai.meta.com/samaudio/ Gong - https://www.gong.io/ Suno - https://suno.com/ Gamma - https://gamma.app/ Linear - https://linear.app/homepage Adobe Express - https://express.adobe.com/ Canva - https://www.canva.com/ Wisprflow - https://wisprflow.ai/ Aquavoice - https://aquavoice.com/ Superwhisper - https://superwhisper.com/ Granola - https://www.granola.ai/ Perplexity Comet - https://www.perplexity.ai/comet Perplexity TikTok Acquisition News - https://ca.finance.yahoo.com/news/ai-startup-perplexity-offers-buy-182958943.html Dia Browser - https://www.diabrowser.com/ ChatGPT Atlas - https://chatgpt.com/atlas DeepSeek - https://api-docs.deepseek.com/news/news250120 Sora - https://sora.chatgpt.com/explore Google Veo 3 - https://aistudio.google.com/models/veo-3 Wan.video - https://wan.video/ N8N - https://n8n.io/ ElevenLabs - https://elevenlabs.io/ Gemini Image Generation - https://gemini.google/ca/overview/image-generation/ Perplexity - https://www.perplexity.ai/ Claude Code - https://claude.com/product/claude-code OpenAI Codex - https://openai.com/codex/ Antigravity (Google) - https://antigravity.google/ Cursor - https://cursor.com/ Windsurf - https://windsurf.com/ Windsurf Community Post - https://community.openai.com/t/openai-is-acquiring-windsurf-for-3-billion/1253475 Reuters Windsurf Article - https://www.reuters.com/business/google-hires-windsurf-ceo-researchers-advance-ai-ambitions-2025-07-11/ Cognition Windsurf Blog - https://cognition.ai/blog/windsurf Gemini - http://gemini.google.com/ Microsoft Copilot - https://copilot.microsoft.com/ Claude - https://claude.ai/ ChatGPT - https://chatgpt.com/ Lovable - https://lovable.dev/ Bolt - https://bolt.new/ Replit - https://replit.com/ V0 - https://v0.app/ NotebookLM - https://notebooklm.google.com/ NotebookLM Behind the Product - https://www.reddit.com/r/notebooklm/comments/1g0qp0n/behind_the_product_notebooklm_raiza_martin_senior/ Anthropic Claude 4 - https://www.anthropic.com/news/claude-4 Anton Osika Tweet - https://publish.twitter.com/?query=https%3A%2F%2Ftwitter.com%2Fantonosika%2Fstatus%2F1926719161935233139&widget=Tweet Lovable Claude 4 Reddit - https://www.reddit.com/r/lovable/comments/1kucygi/lovable_now_uses_claude_4/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
Transcribe →
Build an AI Agent in Less Than 10 Minutes
Dec 1600:11:54Tap to summarizeLearn to automate your email flow with your very first AI agent in under 10 minutes using N8N. No coding required. You'll learn how to create an executive assistant that can read your emails, check your calendar, and even draft responses, all while you wonder why you didn't automate this sooner.Grab your free audit here (Limited spots available): https://bit.ly/audit_appointment_pandcChapters00:00 - Introduction to AI Agents02:23 - Getting Started with N8N04:05 - Choosing the Right AI Model05:31 - Adding Tools: Gmail, Calendar, and Think Tool07:25 - Creating the System Prompt09:19 - Testing Your AI AgentBusiness Use Cases/ApplicationsBuild an AI assistant that accesses your email and calendar to draft responses, check unread messages, and manage scheduling without manual interventionDeploy your agent through messaging platforms like WhatsApp or Telegram for on-the-go access via voice notesSponsorsQuerio → querio.aiLinksN8N - https://n8n.ioQuerio - https://querio.aiOpenAI - https://openai.comGmail - https://gmail.comGoogle Calendar - https://calendar.google.comWhatsApp - https://whatsapp.comTelegram - https://telegram.orgN8N Workflow Template (mentioned in episode) - https://docs.google.com/document/d/1-ILVLwujtJ4uB9a7n4lhDPl9uRWBkfnSWq9y3P2XhLY/edit?usp=sharingFind 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
Transcribe →