Back in 2020, we launched The Spaghetti Detective — the first AI-powered failure detection for 3D printing. Since then, our AI has watched over 80 million hours of printing and caught more than 800,000 real failures across the Obico community.

A few months ago, we invited beta testers to try a completely rebuilt detection engine. Hundreds of you signed up, ran prints, and gave us invaluable feedback. The verdict was clear: the new model is a significant leap forward.

Starting May 1, 2026, the next-gen AI model is available to all Pro subscribers.

I built Obico (originally The Spaghetti Detective) because I had a print fail overnight and wanted a way to catch that kind of thing automatically. What started as a personal project has grown into a platform with over 800,000 detected failures across our user community.

In that time, we've learned a lot about what AI-based failure detection can and can't do — and we want to share that honestly.

One of the most persistent misconceptions we see about Obico is that it "requires a paid subscription." It doesn't. We've offered a free tier since day one, and we intend to keep it that way.

This guide breaks down exactly what you get at every pricing tier so you can decide what's right for your setup.

When you connect a webcam to a cloud service, privacy is a legitimate concern. We want to be straightforward about exactly what Obico collects, why we collect it, and what choices you have.

This isn't a legal document — it's a plain-English explanation of how we handle your data.

Every 3D printing enthusiast — from first-time Ender 3 owners to seasoned Voron builders — runs into print quality problems. The difference between a frustrating hobby and a rewarding one is knowing how to diagnose and fix issues quickly.

This guide covers every common 3D printing defect with clear symptoms, root causes, and step-by-step fixes. Use the table of contents below to jump to your specific problem, or read through to build a complete troubleshooting toolkit.

Nobody wants to come back to their 3D printer and find a failed print — especially after hours of waiting. That's why 3D printer failure detection has become one of the most important features in modern 3D printing. But which tools actually work, and how do they compare?

In this guide, we'll compare every major 3D printer failure detection solution available in 2026 — from AI-powered cloud monitoring to built-in hardware sensors — so you can choose the best option for your setup.

Quick Comparison​

If you've ever walked back to your 3D printer only to find a tangled mess of plastic instead of your model, you've experienced what the 3D printing community calls "spaghetti." It's one of the most common and frustrating 3D printing failures — your printer keeps extruding filament, but the plastic has nowhere to go, creating a bird's nest of wasted material.

The good news? Spaghetti is almost always preventable once you understand what causes it. In this guide, we'll cover every cause of spaghetti in 3D printing and give you step-by-step fixes for each one.

Back in 2020, we pioneered AI-powered failure detection for 3D printing. We called it The Spaghetti Detective. It was a little bit magic, a little bit sci-fi, and it saved a whole lot of print jobs from turning into plastic pasta.

Since then, we never stopped innovating. We launched Nozzle Ninja (our first-layer AI sentinel), and even introduced JusPrin to handle the slicing for you.

But today? Today is about going back to our roots and making them stronger.

We are officially reinventing our core failure detection with a next-generation AI model.

Introduction : Naviguer dans la complexité cachée des profils OrcaSlicer​

Pour de nombreux passionnés d'impression 3D, OrcaSlicer se distingue par sa puissance et sa polyvalence, offrant un contrôle précis des paramètres d'impression et des fonctionnalités d'étalonnage avancées. Cependant, la réussite d'impressions parfaites est souvent gâchée par un défi récurrent et extrêmement frustrant : la gestion des profils. Ce qui peut sembler une tâche administrative simple – organiser, sauvegarder et migrer les paramètres de l'imprimante, des filaments et des processus – se transforme souvent en une source importante de perte de temps, de calibrations répétées et d'un sentiment d'insécurité généralisé quant à l'intégrité de paramètres minutieusement configurés. C'est particulièrement vrai pour ceux qui utilisent plusieurs imprimantes 3D ou qui expérimentent avec une large gamme de filaments personnalisés.

Cette difficulté omniprésente peut être attribuée à ce que l'on pourrait appeler la « complexité cachée » du système de gestion des profils d'OrcaSlicer. La structure des fichiers sous-jacente et le modèle d'héritage des profils sont souvent peu intuitifs, ce qui complique la compréhension du stockage, des liens et de l'impact des paramètres sur les mises à jour logicielles ou les interactions entre comptes. Ce manuel vise à démystifier ces complexités en fournissant un guide étape par étape et fiable pour maîtriser les profils OrcaSlicer. De la compréhension de leur architecture de base à la mise en œuvre de stratégies d'organisation robustes, en passant par la création de profils de filaments personnalisés, l'exécution de sauvegardes fiables et la résolution du problème complexe de la disparition des profils, ce guide offre une feuille de route claire pour vous donner les moyens d'améliorer votre expérience d'impression 3D.

Frustré par l'étalonnage « subjectif » du débit dans OrcaSlicer ? Ce guide rapide vous aidera à éliminer les approximations et à maîtriser objectivement votre débit pour des impressions toujours parfaites.