Building small things with AI. Seeing what sticks.
High inequality in India is not only a fairness concern but an economic constraint. Credit gaps, elite network effects, and reduced social trust limit mobility and misallocate talent. When opportunity depends on background rather than ability, growth slows and institutional capacity weakens, reinforcing a cycle that sustains inequality across generations.
Modern economies aren’t driven primarily by survival needs. They’re driven by status, belief, coordination, and symbolic competition. From money and markets to luxury brands, finance, and social media, this essay explores how human civilization became an economy organized around shared fictions, prestige, and the management of collective desire.
Money works because people collectively believe it works. From gold and cowrie shells to fiat currency and Bitcoin, every monetary system is ultimately a coordination story built on trust, institutions, and shared belief. This essay explores why some monetary stories endure for centuries while others collapse almost overnight.
Trust functions like economic infrastructure: it lowers transaction costs, enables scale, and allows markets to extend beyond personal networks. When institutional reliability is weak, individuals rationally rely on relationships instead of rules, keeping firms small and growth constrained. Strengthening courts, accountability, and equity can gradually expand generalized trust.
Once a vibrant showcase of Odisha’s artisanal heritage, Baliyatra now reflects the quiet erosion of traditional crafts under economic pressure. Rising costs, stagnant wages, and shifting market incentives push vendors toward mass-produced goods, turning a cultural institution into a generic marketplace and threatening the survival of skills built over centuries.
India’s institutional outcomes often reflect rational behavior inside flawed systems rather than individual failure. Incentives reward visible, short-term results over long-term capacity building, while interconnected weaknesses—low trust, slow courts, limited state capacity—reinforce each other. Yet successes like digital public infrastructure show that deliberate institutional design can produce world-class outcomes.
I used AI to find where my capabilities actually stopped before designing a product that assumed they extended further. I asked it to evaluate what my previous work said about what I was capable of building next. The product spec didn’t shrink after the assessment. It sharpened into a reality.
Designing for machine readability creates cleaner architecture than designing solely for human convenience. By using structured data, predictable markup, and a single source of truth in theme.json, WordPress themes become easier for AI agents to interpret. The result is improved performance, consistency, accessibility, and a more reliable system for generating coherent content.
After months of failed AI-assisted projects, the author realized the issue wasn’t tools but lack of clarity. By defining the product, creating structured documents (PRD, TRD), and following phased execution with clean context and audits, development became predictable—proving that planning, not prompting, is the real leverage.
Bitcoin has evolved from a peer-to-peer payment system into a macroeconomic asset competing with gold as a store of value. Driven by scarcity, institutional adoption, and global monetary instability, it is gaining legitimacy. However, risks like volatility, regulation, inequality, and energy use continue to shape its uncertain path forward.