HackrLife is a Podcast on the practical application of AI and PLG in growth and product marketing. I am @ Growth marketer for Google's AI product suite and have a decade of growth experience across Google, Linkedin, Adobe,SAP and IBM.
In every episode, I share practical AI use cases, the latest in AI research along with no-code automation workflows and growth tactics which I am building in the open in my spare time.
Real demos, real tear-downs of AI theory versus practical use case. Perfect for marketers, founders, and creators who want actionable takeaways on AI over hype.
In this episode of HackrLife, you’ll discover why the way we measure AI performance might be misleading . A recent study that examined 23 major Large Language Model (LLM) benchmarks has found that small changes in formatting, prompt style, and test conditions can swing results dramatically. T
he episode reveals how this fragility challenges the accuracy of leaderboard claims and why “top scores” may not translate into better results for your work.
You’ll learn about the hidden factors that shape benchmark outcomes — from cultural and language bias to the trade-off between safety and usefulness — and how these can distort real-world performance.
Why relying on AI to grade AI can create circular results that hide weaknesses instead of exposing them.
By the end, you’ll have a clear, practical framework for evaluating AI tools yourself. You’ll know how to run small, task-specific tests, stress-test models for robustness, and choose tools based on how they actually perform in your environment — not just how they look on a leaderboard.
13 Aug 2025
Multimodality agents using No Code tools
In this episode of HackrlIfe I take as a critical look at Samsung's research on building "multimodal AI agents" using no-code platforms like Flowise.
While the paper sounds impressive with terms like "multimodal LLM-based Multi-Agent Systems," I dug into what these tools actually do versus the marketing hype.
What I Found It Really Is: API orchestration tools that connect existing AI services (OpenAI, Stable Diffusion, Luma AI) through visual drag-and-drop interfaces.
You're not building AI – you're chaining together existing APIs with better UX.
Where I Think It Actually Works:
Routine content workflow automation (blog posts → social media variants)
Customer research processing (audio transcription → analysis → reporting)
Basic content generation pipelines
Repetitive multimedia tasks that don't require complex business logic
The Real Value I See: Speed of implementation and iteration for non-technical teams. Instead of waiting weeks for developer resources, growth teams can prototype automation workflows in days.
Not revolutionary AI development – just workflow automation with AI APIs
Limited by underlying API capabilities – you can't create custom logic
Costs scale with usage – multiple paid APIs add up quickly
Quality still requires human oversight – automation ≠ autonomous operation
I believe tools like Flowise are useful for operational efficiency, not AI innovation. They're worth exploring if you have routine, rule-based content tasks that currently eat up team time. But I recommend approaching them as workflow automation tools, not magical AI solutions.
My advice: Start small, test one simple use case, measure time savings, then expand gradually if it proves valuable.
My main insight: The competitive advantage isn't in the AI capabilities – it's in reducing friction between having an automation idea and implementing it.
In this episode, I give growth professionals a realistic assessment of what these tools can actually do for their teams.
12 Aug 2025
Do LLM's really think?
Those "reasoning" AI models everyone's raving about?
Apple's research suggests they're not actually thinking—they're just really good at pattern matching.
In my latest HackrLife episode, I break down why this is EXACTLY why AI can help you think better, but cannot really think on your behalf.
Key insights:✅ Why reasoning models fail completely past a certain complexity✅ When standard models actually outperform "reasoning" ones✅ How to build human-AI workflows that amplify your thinking instead of replacing it
#AI #GrowthHacking #ProductivityHacks #AIResearch #FutureOfWork
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