A single live debugging run through a multi-agent incident response system: how a shared incident board, per-agent tool scoping, evidence minted by tools, and a deterministic gate catch a silent …
Once a week I sat down with pen and paper to work out how much budget I had left. Now a WhatsApp bot does it from my credit card SMSs. One rule made it work: numbers never come from the AI.
For years we’ve forced text-generating LLMs to make yes/no decisions and then parsed the prose back into a boolean. Jev, TypeSafe AI’s first System One model, skips text entirely and …
Ownership debt isn’t a code problem. It’s a people problem. When AI writes the code and humans just approve it, the relationship between developer and codebase changes from author to …
My blog ran on someone else’s theme for five years. I finally stopped patching and rebuilt from the studs. Zero dependencies, LLMO-ready, accessibility-first, and the bee was the answer all …
Your AI bill tripled last quarter and your CTO is asking about open models. Here’s the real hardware, real costs, and whether it makes sense for a team of 10 or a company of 500.
The top 1% of companies spend $7,500/employee/month on AI. Token prices dropped 98% but bills tripled. 84% of CFOs see no ROI. The AI spending binge is over and the bill is arriving.
This is post #0 of the OWASP Agentic AI Top 10: What Builders on AWS Need to Know series.
You’ve secured your GenAI chatbot. You’ve got prompt injection filters, output validation, maybe …