I explored a curated list of generative AI companies currently disrupting traditional SaaS incumbents in the martech space, focusing on how emerging AI tools are reshaping established software markets and categories.
I challenged several LLMs to generate funny Tamil puns ending in ".ai". While DeepSeek and Claude struggled with accuracy, Gemini captured the cultural nuance perfectly with clever wordplay like Tholl.ai (annoyance) and Kaval.ai (worry).
I learned why expert personas don't improve LLM accuracy, explored new AI insurance products, and developed a workflow to turn constraints into opportunities. I also looked into architecture advice processes and Zillow's algorithmic real estate failure.
I learned about JavaScript's Temporal object, appending hidden data to PDFs, and using embeddings for ML classification. I also explored AI-driven business models, including zero-employee companies, and how compute dominance shapes global AI power.
I used the Claude Code agent to search 24,000 Wikipedia entries for names starting and ending with "AI." In ten minutes, I identified ten individuals, including Aishwarya Rai and Ai Nagai, through automated pattern matching and scripting.
I asked ChatGPT to audit 440 claims I made in 2025. Directional predictions about CLIs, shadow apps, verification, and solo founders held up; extreme replacement predictions did not, suggesting prediction-auditing businesses may grow.