My evolving understanding of the technical foundations, economic realities, and trade-offs of modern artificial intelligence. This section focuses on comprehension, not execution: how AI systems work, where they fail, what they change economically, and what founders should be skeptical about.
Practical application lives in The Operator Stack. This space exists so my use of AI is grounded in understanding, not novelty.
Tech analyst Benedict Evans argues AI is transformative but not apocalyptic. A contrarian framework for understanding the current platform shift.
100 AI-optimized blog posts generated zero leads. I rewrote 5 with a thinking-first approach. Result: ₹7 lakh revenue. Understand why it
Building O9X taught me: AI context rot isn't a bug, it's architecture. Real examples of dangerous forgetting + validation workflow I use to catch it
AI allows you and your team to do lot more. Even if the AI's unit cost falls down, you won't see a reduction in cost as usage explodes by 10X
The 20 USD we pay for AI Subscription can be considered as a Subscription to a Software Factory, allowing us to build custom software for our needs
Avoid paying a "per-word" tax for niche AI tools. Understand why owning your logic for any work you need can replace expensive AI tool subscriptions.
Bond Capital's 2025 report reveals a truth most leaders are missing - AI has moved from a cool-to-have tool to a Tier 1 infrastructure buildout on the scale of the electrical grid