Product Bakar

If you’ve ever opened Netflix and instantly found the right show — or hit play on a Spotify playlist that felt designed for you — you’ve seen AI at its best: discovery and personalization.

In this episode of Product Bakar, we break down how AI transforms the way users discover products, content, and experiences. From collaborative filtering and contextual recommendations to the rise of generative personalization, we explore practical frameworks PMs can use to design smarter, more intuitive products.

We also tackle the big challenge: How do you personalize without creeping users out?
You’ll learn how to build transparency, trust, and control into the experience — and why great personalization should feel like a service, not surveillance.

Perfect for Product Managers, founders, designers, and anyone building AI-first experiences.

Keywords: AI personalization, product discovery, product management, recommender systems, user experience, generative AI, contextual AI, PM podcast, AI in product management.

Agentic Commerce is coming — and it’s about to rewrite how products are discovered, evaluated, and purchased. In today’s episode, we unpack the rise of autonomous AI agents that don’t just recommend… but actually transact on our behalf.

From AI travel agents booking full trips to procurement bots negotiating supplier contracts, agentic commerce reshapes funnels, loyalty, differentiation, and decision-making itself.

As a PM, learn:

• What Agentic Commerce really means

• How autonomous buying/selling will change competition

• Why brands must now persuade AI agents, not humans

• How to design for AX (Agent Experience)

• The trust, API, data, and ethical foundations you need to build

If you want to understand the next wave of AI-driven product disruption, this episode is your edge.

Most Product Managers building AI features get obsessed with one number — accuracy. But here’s the truth: accuracy doesn’t tell you if your AI product actually works for users.

In this episode of Product Bakar, Rishikesh breaks down the five real metrics that define success for AI products — adoption, trust, effort reduction, task completion, and business impact.

We’ll explore how to connect model metrics (like precision and recall) with product outcomes (like user satisfaction and ROI), and why focusing too narrowly on technical performance can hide what truly matters.

Tune in to learn:

• Why “accuracy” can mislead PMs.
• How to measure trust in AI experiences.
• How to track AI’s true business and user impact.

If you’re a Product Manager, builder, or founder working with AI — this episode will change how you measure success.

Keywords: AI metrics, AI product management, Product Manager podcast, accuracy vs adoption, AI success metrics, product KPIs, user trust in AI

LLMs are everywhere — ChatGPT, Claude, Gemini — and every PM is being asked, “Can we build something with them?”

In this episode of Product Bakar, we cut through the hype and talk about what really works (and what doesn’t) when building products powered by Large Language Models.

You’ll learn:

• The real strengths of LLMs — from text generation to summarization.
• Common failure zones — hallucinations, logical reasoning, and high-stakes autonomy.
• The Product Manager’s true role when building with AI — guardrails, UX, and metrics that actually matter.

If you’re a Product Manager, founder, or builder navigating the AI wave — this episode helps you understand where to double down and where to draw the line.

🎧 Listen to Product Bakar: Building with LLMs — What Works and What Doesn’t for PMs.

Keywords: Product Management, AI Products, LLMs, ChatGPT, Building with AI, PM Podcast, Product Bakar, AI Strategy, Product Design, Responsible AI

Episode Description

AI is powerful — but it’s also a black box. Users don’t always know how it works, why it made a decision, or whether to trust it.

In this episode of Product Bakar, Rishikesh Kankal dives into one of the most critical — and overlooked — aspects of AI product design: trust.

You’ll learn why adoption depends more on confidence than accuracy, and how product managers can embed Explainability, Transparency, and Control into their AI experiences.

👉 Here’s what we cover:

• Why trust matters more than technical accuracy
• How Spotify, Gmail, and Duolingo design trust into their products
• The 3 pillars of trustworthy AI: Explainability, Transparency, and Control
• A practical PM checklist to design confidence and reduce user anxiety

Because in the world of AI, the question isn’t “Can it work?” — it’s “Will users trust it enough to use it?”

Tags and Keywords:

Product Management, AI, Explainability, Transparency, Trust in AI, UX, Product Design, Machine Learning, Human-AI Interaction, Responsible AI, Product Bakar, Rishikesh Kankal, Product Strategy, PM Podcast

Your CEO wants AI in the product. Your engineers are excited. Customers are asking for it.

Now there are dozens of AI ideas on the table — but which ones actually create user and business value?

In this episode, Rishikesh Kankal shares a clear, actionable framework for prioritizing AI use cases in your product roadmap using three lenses: Value, Feasibility, and Risk.

You’ll learn how to evaluate which AI ideas matter most, identify quick wins that drive impact fast, and choose strategic bets that align with your long-term vision — all while avoiding hype-driven decisions.

Because great product management isn’t about adding AI everywhere — it’s about using AI where it truly makes a difference.

🎧 Key Topics Covered:

• Framework: Value × Feasibility × Risk for AI prioritization

• How to spot “AI for show” vs “AI that solves real problems”

• Balancing short-term wins with long-term innovation bets

• Keeping your roadmap focused on users, not hype

🧠 AI & SEO Keywords (for discovery):

AI product management, AI roadmap prioritization, product strategy, product leadership, AI frameworks, AI use cases, feature prioritization, AI-driven innovation, PM and AI, AI product lifecycle, AI feasibility, AI value assessment, AI risk management

#ProductBakar #AI #ProductManagement #Prioritization #Roadmapping #TechLeadership #ArtificialIntelligence #ProductStrategy

Should AI be a feature in your product — or should AI be your product? 🤔

It’s a subtle difference that completely changes your product strategy, roadmap, and even your business model.

In this 5-minute episode, Rishikesh Kankal breaks down how product managers can make this call with clarity — using real-world examples like Gmail, Canva, ChatGPT, and Notion.

You’ll learn:

• When to use AI as a feature to improve existing workflows

• When to build AI as the core product itself

• 3 guiding questions to decide the right approach

• The risks and upsides of each path

• How PMs can avoid the “AI for the sake of AI” trap

💡 Key Takeaway:

AI as a feature improves your product.

AI as a product defines your product.

Your job as a PM is to know the difference — and make that call intentionally.

🎙️ Product Bakar brings weekly 5-minute episodes that spark sharper thinking for modern product managers.

Next up: How to Prioritize AI Use Cases in Your Roadmap.

🔖 Tags:

#ProductManagement #AIProducts #ProductBakar #ProductStrategy #ArtificialIntelligence #ProductManager #TechPodcast #AIFeatures #ProductDesign #Roadmapping #Innovation #PMCareer #AIForPMs #RishikeshKankal

Once upon a time, every product became mobile. Then cloud. Then data-driven. Now it’s AI’s turn.

In this episode of Product Bakar, host Rishikesh Kankal breaks down why it’s inevitable that every product will soon be an AI product — and what this shift means for Product Managers.

You’ll learn:

• The 3 stages of AI adoption (Invisible, Assistive, Autonomous)

• Why AI is moving from feature to fabric

• How PMs can stay ahead by designing for AI-native workflows

🎙️ Tune in to understand the mindset shift every PM needs:

Stop asking “Should we use AI?”

Start asking “What happens if we don’t?”

#ProductManagement #AI #ProductBakar #ProductTank #ProductManagers #AIinProducts

Most product managers today are AI tourists — they explore AI, experiment with it, maybe even launch a few features. But thinking like an AI-native PM? That’s a different game.

In this short, crisp episode of Product Bakar, we unpack what it really means to be an AI-native product manager — someone who builds with AI as the foundation, not as an afterthought.

You’ll learn:

• How to shift from adding AI on top to designing from AI up.

• The three traits that define AI-native PMs:

  1️⃣ Curiosity about data, not just features.

  2️⃣ Comfort with probabilistic, “imperfect” systems.

  3️⃣ Focus on human + AI collaboration instead of replacement.

• How to reframe your product questions with an AI-first mindset — from measuring trust to designing for model errors.

If you’re a PM, founder, or builder trying to stay ahead of the AI curve — this one’s for you.

Tags / Keywords

AI Product Management, Product Thinking, Data Strategy, Product Leadership, PM Mindset, Product Bakar, AI-native PM, Artificial Intelligence, Product Management Podcast, Rishikesh Kankal

We’ve always designed products for humans. But in an AI-first world, not all of your product’s “users” are human anymore. Increasingly, AI agents are researching, comparing, and even transacting on behalf of people.

In this episode of Product Bakar, we explore:

• What AX (Agent Experience) actually means
• Why AI agents will become the new decision-makers
• How PMs can design for AX: clarity of data, trust, and agent-first signals

The shift from UX to AX isn’t optional — it’s already happening. The real question is: is your product ready for agents as well as people?

🎧 Follow Product Bakar for more episodes in our AI season — from building with LLMs to rethinking product metrics in an AI-first world.

Tags / Keywords:

Product Management, AI, Artificial Intelligence, Agent Experience, UX vs AX, PM Skills, Product Strategy, AI for PMs, Product Bakar, Tech Innovation

Show Notes / Links:

• Connect with me on LinkedIn: [Your LinkedIn link]
• Share this episode with a PM who still thinks only about UX
• Next up: Building with LLMs — What PMs Need to Know