The Vibe PM

You've built your app's foundation in Lovable or AI Studio, and suddenly, you have multiple feature ideas flooding your brain. You likely jump into a sequential chat-based coding app to start building all these ideas, and you realize it feels painfully slow. You request a feature. You wait. It builds. You request another. You wait. It builds. Repeat. It's just become too slow.In this episode of The Vibe PM, Pendo Field CPO EMEA Dave Killeen shows you how to move beyond sequential building to rapid iteration using parallel agents.Dave demos the exact workflow for working with parallel agents to vibe code faster. Dave suggests starting with Lovable or Google AI Studio to get your app foundation set. Then you can explore ideas using tools such as GitHub and Cursor, and when you’re ready, fire up multiple agents simultaneously, each working on different features at the same time. The pace of progress becomes fundamentally different, which Dave calls "lightning pace" vibe coding.So what did Dave build with his parallel agents? He built a KPI Driver Tree app in two hours on a plane. He was inspired after reading an Atlassian stat that only 12% of PMs feel connected to business outcomes. The app maps company metrics to north star outcomes, helps teams understand how their work connects to board-level dollars , and includes a feature that critiques its own strategy.This episode isn't about the KPI tree itself - it's about showing you what becomes possible when you stop waiting for one AI agent to finish before starting the next idea.Chapters:00:00 Intro: Why most PMs can't connect work to dollars00:21 Beyond Lovable: The next level of vibe coding01:24 The problem with sequential AI coding02:00 Why you need parallel agents to build faster02:35 Demo: Lovable and Google AI Studio for foundations03:30 Pushing to GitHub and pulling into Cursor03:50 Inside Cursor IDE: Setting up your workflow04:15 GitHub trending: Forking existing projects to start fast05:11 Agent mode in Cursor: Building without seeing code05:45 Firing up multiple agents simultaneously06:30 The fastest way forward: Lightning-pace vibe coding06:34 The KPI driver tree demo begins07:00 The Atlassian 12% stat: Why strategic alignment matters07:55 Live demo: Generating a KPI strategy for Trade Me08:30 Understanding the three vectors: Revenue, cost, risk09:00 Red team analysis: AI critiques AI09:45 "Your KPI structure has structural flaws"10:30 "You're incentivizing a landfill" (AI roasts the strategy)11:30 Deep dives on metrics and benchmarks12:00 Building a sparring partner for your work12:44 Wrap: Moving to the next level of vibe codingTools mentioned:Lovable (foundation building)Google AI Studio (app scaffolding)GitHub (version control)Cursor IDE (parallel agent workflows)Alternative IDEs: Windsurf, GravityThe Vibe PM: Quick tips. AI flows. Big vibes.Presented by PendoConnect with Dave Killeen on LinkedIn | Explore more at pendo.io

You know the feeling. You open that resume you haven't touched in months or years, stare at it, and think: "How do I describe what I’ve accomplished? How do I describe that project? How do I quantify the impact I’ve made?"Here's the brutal truth: we're terrible at remembering our own achievements. We actually do amazing work, but when it's time to write it down, our minds go blank. Then we ask ourselves: How can AI help make my resume better? How can AI help my LinkedIn profile better?The big idea today, though, isn't actually about the resume. In this episode, Pendo Field CPO EMEA Dave Killeen shows you the power of “burger prompting” in the LLM. It’s time to move from the old way of LLM prompting, where you're guessing what context the AI needs. Instead, you’ll learn how to build and improve prompts so the AI extracts the information it needs from you to create a usable output. Dave demonstrates this through six-phase structured prompt that instructs the AI to conduct a structured interview to surface your brilliance and specific achievements so you can have an outstanding resume.Chapters:00:00 The resume problem (why we all go blank)01:00 Flipping the script (AI interviews you, not the other way around)02:00 The six-phase structure (from upload to LinkedIn profile)02:30 Phase 3: Achievement extraction (where the magic happens)03:30 Live demo: Alex's mediocre resume gets transformed05:00 How the prompt refuses vague answers07:00 The full prompt structure breakdown08:00 Building burger prompts with Claude Console09:00 Wrap (the bigger idea: context pulling in action)Tools mentioned:Claude (structured interview process)Claude Console (Prompt Improver for building these workflows)Dave's exact resume builder promptYou'll walk away with:A six-phase prompt that interviews you to extract forgotten achievementsThe methodology that refuses vague statements and demands quantifiable resultsA system that generates both your resume and LinkedIn profile from one conversationUnderstanding of how to build "burger prompts" that pull context from youThe Vibe PM: Quick tips. AI flows. Big Vibes.Presented by PendoConnect with Dave Killeen on LinkedIn | Explore more at Pendo.io

What if you could advance your career by building an entire application—complete with multiple modes, persistent memory, and personalized intelligence—using nothing but your voice in natural language? No code. No developers. Just words.Most teams are still treating AI like a search bar: ask a question, get an answer, start over. They're missing the bigger opportunity entirely.In this episode of The Vibe PM, Pendo Field CPO EMEA Dave Killeen demonstrates how to shift from transactional prompting to building prompt-based applications—sophisticated tools that remember context, ask intelligent questions, and compound value over time.Dave's example: building a multi-mode AI Career Coach live on the show. This isn't a chatbot, it's a prompt-based application architecture designed in minutes that handles weekly check-in summaries, monthly reflections, promotion readiness assessments, and executive report generation.The methodology is refreshingly simple: prompt the AI to serve as your personal career coach, asking you the right work value questions, load job-related context once, and consistently return to the same work value conversation throughout the year.Chapters: 00:00 Introduction: Applications built with words, not code 02:00 Foundation: Setting up Claude Projects for persistent context 02:50 Architecture: Generating the multi-mode mega prompt 05:05 Input method: Weekly brain dumps via voice 06:00 The flip: When AI starts asking the questions07:05 Live demo: Unstructured thoughts to polished weekly report 08:20 The four modes: Beyond basic check-ins 09:00 Your blueprint: Three steps to build prompt-based apps 10:00 The compounding advantage: Why consistency winsTools mentioned:Claude Console (prompt generation)Claude Projects (persistent context storage)Mobile voice mode The Vibe PM: Quick tips. AI flows. Big Vibes.Presented by PendoConnect with Dave Killeen on LinkedIn | Explore more at pendo.io

Here's the uncomfortable truth: if you're getting mediocre output from AI, it may not be the technology; it may be you. In this episode of The Vibe PM, Dave Killeen demos how to switch up that dynamic using the Claude Console's Prompt Improver - a tool that transforms your vanilla AI prompts into detailed, results-oriented prompts that actually get you strategic, usable results faster. This takes practice, but once you begin focusing on the prompt, you’ll achieve dramatically better results with your work, helping you transition from a good PM to a great one. Chapters:00:00 Why your AI prompts are failing you 02:07 Claude's Prompt Improver (the game-changer) 02:40 Demo pt. 1 (creating a test strategy doc) 03:36 Demo pt. 2 (the "magical" prompt generation) 04:47 Side-by-side (basic vs. expert prompt comparison) 06:05 The secret sauce (treat AI like an expert consultant) 06:50 Three ways to use this in your workflow now 07:46 How much does this cost? (spoiler: almost nothing) 08:14 Your challenge (the one-way door decision) 08:44 Wrap (get more time back in your day)Tools mentioned:Claude Console (Prompt Improver tool)Free account access at console.anthropic.comThe Vibe PM: Quick Tips. AI Flows. Big Vibes.Presented by PendoConnect with Dave Killeen on LinkedIn | Explore more at pendo.io

Are you struggling to bring your product idea to life? What about the speed in which it takes you to complete your discovery and validation cycles? Yeah, the frustration is real.Here's the thing: If you’re using an LLM to flesh out your ideas, you've been doing it backwards. In this episode, Pendo Field CPO, EMEA, Dave Killeen, introduces context pulling - a method that flips traditional AI prompting on its head. Instead of struggling to get anything useful out of the AI with the context you're providing, you engineer the AI to actively pull the context it needs from you. It then turns your idea into a spec'd, flow-mapped, demo-ready prototype faster than you thought possible.This isn't theory. Dave walks you through the exact prompt, the magic commands that generate instant assets, and why answering AI questions with voice mode is the secret weapon most PMs are missing out on.Chapters:00:00 The context-pushing trap (and why your outputs aren’t useful)01:20 Context pulling: flip the script, let AI lead02:40 Build your Virtual PM (the prompt breakdown)04:15 Magic commands that do the heavy lifting05:30 Voice mode = cheat code for speed06:20 Real talk: idea to prototype in under an hourTools mentioned:ClaudeLoveableMobile voice modeDave's exact prompt (in description)Dave’s Prompt for Context PullingYou are an AI agent with extensive experience in product building, product management, and product design. You excel at taking requirements and generating clear scopes, creating user flows and detailed key screen specifications.When presented with a product idea or feature, your task is to act as a product manager and designer to help refine and develop the concept into a detailed requirements document for AI-powered coding platforms.Proceed through these steps:CLARIFYING QUESTIONSAfter receiving a product idea, generate 8-10 important questions as a product manager to understand the requirements better. Present these in a numbered list.SPEC DOCWhen user says "spec doc", analyze previous responses to generate a product spec for so that we're in a position to design the flows after this, including:Product summaryProblems solvedTarget audienceKey features and functionalitySuccess metricsDESIGN FLOWSWhen user says "design flows", create detailed user flows and screen specifications. For each screen:Describe layout and UI elements in detailList all possible user actions and outcomesSpecify navigation flows and transitionsDetail any validation rules or state changesPRDWhen the users says “create PRD”, create a detailed PRD that would be in enough detail for a squad to be able to pick up and run with.After each of the above steps, include:Next step command promptOption to revisit previous stepsKeep responses thorough but structured and clear. Focus on requirements (what) rather than implementation (how).The Vibe PM: Quick Tips. AI Flows. Big Vibes.Presented by PendoConnect with Dave Killeen on LinkedIn | Explore more at https://www.pendo.io/https://www.pendo.io/