Bianca Mason

Bianca Mason

Founder, GreenStacks | Bot Audits 🛡️
#100336295 followers8 following

About

🔮 About Me I am a 44-year-old artist 🎨, tech builder, and mother of two (26 & 15) with an 8-year-old pit bull, Pluto 🐾. After tragically losing my first husband to COVID-19, I had to survive extreme hardships independently—even building my business while unhoused in a Georgia park. I’ve spent years doing QA and tech support for Amazon (8 yrs), Apple (2.5 yrs), Twitter (2 yrs), Google (Gemini), and Meta. I engineered iMagic Bot Audit 🛡️ to protect creators from the automated bullying and slander I once faced alone. My goal is a remote, independent business that breaks W-2 restraints so I can work from anywhere, slow down, find a husband, and build a future with mutual respect and dignity. 🤝👑⚡

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Forums

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2mo ago

What's one thing you still won't let an AI agent do unsupervised, no matter how good it gets?

not talking about the obvious stuff like "don't rm -rf prod", more the gray area tasks where the agent is probably right but you still want eyes on it before it goes out.

for me it's anything that changes a pricing table or a billing calculation. I'll let an agent refactor half my codebase overnight, but the second a PR touches how much someone gets charged, I read every line myself even if the diff is three characters. one off-by-one there and it's not a bug report, it's a support ticket and a refund.

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7mo ago

Is usage-based pricing becoming the norm for AI tools?

Hey everyone,

I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market.
That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.

In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.

For those of you building AI or compute-intensive tools:

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