
I Knew What Agencies Needed—So I Built Multi-Tenancy on Day 2
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.
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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.

I migrated from AWS to GCP and achieved 92% cost reduction with 10x faster performance—here's what I learned ditching "best practices" for pragmatic architecture that actually works.

I built an AI podcast generator that lets you shape the content before it's created—because I was tired of AI just reading Wikipedia at me during my commute.

After 5,000 hours testing AI models, Gemini 2.5 Pro beats Claude and ChatGPT for coding—here's why it became my default tool for building complex applications.