
Prayerson's Podcast - What to Build | Why It Matters
A weekly podcast about product management, hosted by Prayerson. Each episode explores frameworks, real-world case studies and current trends in building products, aimed at helping listeners grow their product careers. The show pairs practical advice with reflection on why certain products and decisions matter. It is connected to the host's product newsletter at newsletter.iamprayerson.com.
Episodes

why ai tools feel exhausting to use
Listen now:Spotify // Applein this conversation, you’ll learn:* why most ai tools feel powerful but create more work in practice.* the hidden problem with standalone ai interfaces and broken workflows.* how context switching kills productivity in ai products.* what real workflow integration actually looks like.* how to design ai systems that reduce friction instead of adding it.* why the future of

how to track success in ai products
Listen now: Spotify // Applein this conversation, you’ll learn:* why traditional product metrics don’t work for ai systems anymore* the real reason ai products feel powerful but frustrating* how measuring outputs instead of outcomes creates false confidence* what actually causes friction in ai products* how product managers should rethink success in the ai erawhere to find prayerson:* x: https://x

why ai products fail even when the code works?
Listen now:Spotify // Applein this conversation, you’ll learn:* why traditional software assumptions break when applied to ai systems.* how probabilistic outputs change the way product managers design features.* why reliability in ai products comes from systems design, not model intelligence.* the new mental models product teams need to ship ai products safely.where to find prayerson:* x: https://

when is an ai feature ready to launch?
Listen now:Spotify // Applein this conversation, you’ll learn:* why the question “is the feature ready?” stopped working for ai products.* how product managers now evaluate systems instead of features.* what reliability actually means in probabilistic software.* how launch decisions changed from a moment into an ongoing process.where to find prayerson:* x: https://x.com/iamprayerson* linkedin: htt

ai evals for product managers
Listen now:Spotify // Applein this conversation, you’ll learn:* why ai demos feel magical but real product usage feels exhausting.* what ai evals actually are and why they are becoming essential to shipping ai products.* how reliability, not intelligence, determines whether users trust ai.* what product managers must build around models to make them usable in the real world.where to find prayerson

ecosystem led growth in the ai era
Listen now:Spotify // Applein this conversation, you’ll learn:* why traditional growth channels stopped working in a saturated software economy.* how ecosystem-led product growth creates durable dependency instead of rented attention.* how ai turns integrations into the new distribution layer.* why the network itself has become the real product.where to find prayerson:* x: https://x.com/iamprayers

the pmf paradox: why "good enough" is no longer enough
Listen now: Spotify // Apple in this conversation, you’ll learn:* why product market fit feels shakier even when growth looks strong.* how ai changed the economics of building and copying software.* what “habit gravity” is and why it replaced features as the real moat.* how modern products become part of a user’s daily mental workflow.where to find prayerson:* x: https://x.com/iamprayerson* linked

the ai toolkit every product manager needs in 2026
Listen now:Spotify // Applein this conversation, you’ll learn:* how to build an ai stack that behaves like a small product team, not a folder of tools.* why ai copilots, research agents, qa systems and orchestration layers are now core pm infrastructure.* the eight pillars that matter for pm leverage in 2026.* how orchestration ties everything together into a system that thinks and works with you.

the new product pod
Listen now:Spotify // Applein this conversation, you’ll learn:* why an invisible reorg is quietly reshaping product teams right now* how the ai stack acts like a nonhuman team member, not a tool* which layers of work are collapsing into autonomous systems* the concrete skills pms need to operate the new hybrid stackwhere to find prayerson:* x: https://x.com/iamprayerson* linkedin: https://www.link

the ai native pm
Listen now:Spotify // Applein this conversation, you’ll learn:* why breaking into product management in 2026 feels like decoding a moving target* how ai has rewritten entry rules and crushed the old playbook* what hiring managers actually look for in the post-hype market* and how to build a portfolio that screams signal, not noisewhere to find prayerson:* x: https://x.com/iamprayerson* linkedin: h

product management careers after ai
Listen now:Spotify // Applein this conversation, you’ll learn:* how ai has rewritten what it means to be a product manager* why velocity, fluency, and leverage define the next decade of pm* what the collapse of the generalist role means for career paths* and how to build products at the speed of the machine, without becoming onewhere to find prayerson:* x: https://x.com/iamprayerson* linkedin: htt

google vs ai browsers
Listen now:Spotify // Applein this conversation, you’ll learn:* why the internet’s old ad-based economy is collapsing under ai* how agentic browsers are replacing clicks with completed actions* what’s fueling the second great browser war* and how businesses can survive in a post-click webwhere to find prayerson:* x: https://x.com/iamprayerson* linkedin: https://www.linkedin.com/in/prayersonchristi

responsible product management with ai
in this conversation, you’ll learn:* how ai has shifted from a roadmap feature to being baked into almost every digital product.* why pm’s now face a foundational crisis: speed, amplification, and ethical responsibility.* the challenges of designing ai products that are both delightful and socially responsible.* practical lessons from real-world examples like wellness bots and hiring ai tools.wher

delta 4 and ai product adoption
in this conversation, you’ll learn:* what the delta 4 effect is and why some products explode while others fizzle.* how ai accelerates adoption and habit formation.* the new pillars for product management in the ai era.* how to evaluate whether a new product is truly transformative.where to find prayerson:* x: https://x.com/iamprayerson* linkedin: https://www.linkedin.com/in/prayersonchristian/in

why prompt engineering is not enough
in this conversation, you’ll learn:* why using ai as a "butler" is actually making you a micromanager* the difference between giving a command and giving a mission* the new skills product managers need, from designing guardrails to architecting workflows* how to think about ai as a coworker, not just a toolwhere to find prayerson:* x: https://x.com/iamprayerson* linkedin: https://www.linkedin.com/
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