Honest takes on AI,
from builders

No press releases. No sponsored content. No hype. Just observations from people who build with AI every day and aren’t afraid to say what they actually think.

“A Zubnet nasceu de uma convicção simples: a relação entre as pessoas e a IA não precisa ser de extração. Pode ser de parceria. Já vimos o que acontece quando a tecnologia serve as pessoas em vez de explorá-las — foi o que nos ajudou a encontrar esperança quando mais precisávamos.”
Pierre-Marcel De Mussac · Fundador

Latest Perspectives

Your Data Stays Yours. Period.
The real cost of “free” AI platforms. What happens to your prompts, your images, your voice recordings when you hit “generate.” We read the fine print so you don’t have to. Spoiler: it’s not pretty.
What 63 Providers Taught Us About the AI Industry
We’ve integrated 63 AI providers into one platform. We’ve seen the good (DeepSeek’s pricing revolution), the bad (silent model deprecations), and the ugly (APIs that return 200 OK with error messages in the body).
Why We Monitor 63 AI Providers And You Should Care
Models get silently deprecated. Prices change overnight. API names get swapped without announcement. We built an automated monitor that scans every provider daily. Here’s what it catches.
AI Ethics Isn’t a Feature. It’s a Foundation.
Every platform claims to care about ethics. Few build their architecture around it. We didn’t add privacy after launch — we started with it. Here’s what it actually costs to mean it.
From 3DS Max to 60 Seconds: The State of AI 3D Generation
We tested Tripo, Trellis 2, and fal.ai’s 3D offerings. One worked beautifully, one had potential, and one was a serverless nightmare. Here’s our honest assessment.
HuggingFace Inference: The Open Source Wrapper Nobody Told You About
HuggingFace’s “Inference Providers” is marketed as open-source AI inference. In reality, it’s a routing layer to fal.ai, Replicate, and WaveSpeed. We traced the requests.
ESC