
My Database Was "Correct." It Was Also 296x Too Slow.
I discovered my Postgres database had 89 foreign keys but zero indexes on them—turning millisecond queries into 843ms nightmares and nearly killing my alpha launch.
492 posts about AI, learning, and building products

I discovered my Postgres database had 89 foreign keys but zero indexes on them—turning millisecond queries into 843ms nightmares and nearly killing my alpha launch.

I found 31 blank screens in my SaaS—all because I forgot multi-tenancy isn't just about data access, it's about URL context. Here's how Claude Code helped me fix them all in one night.

I thought adding org_id to every table meant bulletproof multi-tenancy. Then my security audit revealed agencies were writing to SME tables—not through a bug, but by design.

After 20 years in agencies, I knew multi-tenant architecture couldn't wait—so on Day 2, with just one working AI agent, I tripled my dev complexity to avoid a future rewrite.

I fed my own landing page to my AI strategy agent and rebuilt it in 24 hours—conversion messaging transformed by dogfooding the product I'm selling.

I built a 9-agent marketing platform in 75 days that learns from every conversation—tell one agent about your business, and all nine get smarter together.

I spent 24 hours debugging why my React app kept making HTTP requests from HTTPS pages—even though my code was converting them. The culprit shocked me.

I built 3 AI marketing agents with multi-tenant architecture in 4 weeks—the same amount I accomplished in a month building my previous product that took 7 months to launch.

I almost shipped a major TTS engine swap by just "hoping for the best"—until my AI assistants flagged the risks and helped me build a bulletproof feature flag strategy instead.

I hunted down a 3-minute signup delay that turned out to be Schrödinger's user—existing and not existing at the same time due to database replication lag between writes and reads.

I rebuilt my AI tool after watching it confidently spout wrong information about my own expertise—here's the 4-step workflow that puts you in control instead.

I thought my Cloud Run migration was flawless until a single AI parameter—temperature set to 0.7 instead of 0—caused 30% failed API calls and cost me $54/month in wasted tokens.