AI journey logs on experiments, learnings & insights

Cognitive biases aren’t bugs—they’re features. Until they become rigid, exploited, imbalanced, or stop adapting. Discover the four-layer framework mapping how we think individually, collectively, under manipulation, and when merged with AI. Your cognitive sovereignty depends on it.

Here’s an uncomfortable truth: most “user-centered” design teams are building features users don’t actually want. Not because the features are poorly designed, but because users don’t want features at all-they want outcomes. Using the inversion thinking framework, we discover that Design Thinking and Agile Development are broken in exactly the same way: both have become feature factories disguised as outcome-driven processes. Once you see it, you can’t unsee it.

While most people chase success by asking “How do I win?”, Charlie Munger built a $300 billion fortune by obsessively asking “How do I avoid losing?” This ounterintuitive approach-called inversion thinking-flips our natural problem-solving instincts on their head. Instead of building toward positive outcomes, it systematically eliminates negative ones. Discover why this framework often succeeds where forwardthinking fails and how to apply it systematically in our increasingly complex world.

The most groundbreaking discoveries aren’t emerging from isolated laboratories – they’re born at the intersection where different disciplines converge. But interdisciplinary knowledge alone isn’t enough. Complex challenges also require cognitive agility—the ability to switch between different thinking frameworks as problems evolve. Discover the three core cognitive mechanisms that enable breakthrough innovation and why building a toolkit of diverse analytical approaches has become a societal imperative.

Oopsie Daisy delivers their most adventurous track yet with “Disco Elevator,” featuring creative collaborator Peder Pan. The project channels the euphoric energy of classic disco legends like Chic and Earth, Wind & Fire while incorporating the playful electronic sensibilities found in Justice and Daft Punk. This isn’t just retro pastiche—it’s a contemporary exploration of what happens when disco fundamentals meet modern electronic production, creating something that feels both familiar and refreshingly unexpected. The track represents a perfect convergence moment: when AI music and video tools finally matured enough to support a complete creative vision from concept to finished music video, revealing new possibilities for AI-assisted artistic collaboration.

Recent developments in quantum physics and consciousness research are challenging our fundamental
assumptions about the nature of mind. What if the brain doesn’t create consciousness, but acts as a
sophisticated antenna tuning into a fundamental field of awareness? From near-death experiences to ancient
wisdom traditions, emerging science suggests consciousness might be the ground of reality itself—with
profound implications for how we understand identity, death, and human potential.

From building simple web applications with AI to confronting the limitations of “vibe coding” in complex projects, this exploration navigates the delicate balance between AI acceleration and human wisdom in modern development. While AI tools promise quick results, they often falter when complexity increases—requiring strategic approaches to prompt engineering, modular design, and rigorous validation. Discover how to leverage these powerful tools while avoiding their pitfalls, and why the future belongs to the “augmented developer” who combines algorithmic efficiency with irreplaceable human judgment.

Working with AI, I developed the Mental Model Score (MMS) framework—a system that evaluates applications from the user’s perspective rather than focusing on isolated application characteristics. Unlike traditional UX methods, MMS captures how users’ mental models shape their experiences within specific contexts, enabling meaningful comparisons between different tools. The framework’s five components (Effort, Trust, Expectation Alignment, Impact, and Concern Factors) measure whether perceived gains outweigh perceived pains in user experiences. This human-AI collaboration addresses a critical blind spot in current UX evaluation approaches.

Discover your cognitive blind spots with the Cognitive Resilience Diagnostic – a self-assessment tool that maps your mental vulnerabilities to digital manipulation and provides personalized strategies to strengthen your digital autonomy.

AI and digital platforms are shaping our thoughts and decisions in ways we barely notice. This article explores the hidden mechanisms of digital influence and offers strategies to reclaim cognitive independence. Will we let AI control our perceptions, or will we take back the reins?