What I Learned at SMU's Legal Database Launch (And My Decision About zeeker.sg)
After 150+ hours building data.zeeker.sg, I attended SMU's SOLID database launch to see institutional legal data infrastructure in action. I applied my decision framework and made my choice: I'm continuing. Here's what I learned about when solo builders should persist alongside institutions.
Building data.zeeker.sg: Technical Architecture
The complete technical stack behind Singapore's first public legal news API: zeeker CLI standardizes data collection, Datasette serves SQLite straight from S3, and canned queries make legal research accessible without SQL. Built solo, runs on $6-12/month, designed to scale from 1 to many sources.
Open Source, AI, and Why October Matters
This Hacktoberfest, I'm not contributing code—I'm maintaining my own. Two years after redlines went viral, I'm adapting it for AI agents. The lesson: tools that don't work with AI will fade. Open source needs to evolve with how people actually work.
When AI Makes You Look Busy, Not Productive
A new term is making headlines: "workslop"—AI-generated work that looks polished but lacks substance. Research found 40% of workers encountered it last month, costing $186 per employee in cleanup time. For resource-constrained lawyers, you can't spend time fixing what's irretrievably broken.
Singapore Court Rules on AI Hallucination: A Reality Check for Small Firms
Singapore's High Court just handed down what might be its first formal ruling on AI-generated fake cases in legal practice (2025 SGHCR 33). For resource-constrained practices, this case validates a hard truth - you might be better off avoiding AI entirely.