I found they had been very helpful and contributes greatly to research and study for my workflow. It allows me to quickly adjust my workflow in a hands-on way, avoid repeated mistakes, build more meaningful tools and methods, explore different frameworks, and gain clearer product definitions.
I use NotebookLM to systematize my documents and notes, while employing GPT to explore frameworks and clarify scope, architecture, and pipelines. I also use Grok in a more conservative way, which I really appreciate. It helps me stay grounded and realistic by engaging with real-world data, surveys, audits, and measurements before moving into project planning. In that sense, Grok helps challenge assumptions and debate scope and definitions. Meanwhile, Claude is very useful for quietly assisting with hands-on tasks and helping produce practical tools that I can apply directly in manual workflows.
I’ve also noticed some mismatches online when people discuss AI in the context of VFX and animation. Many conversations confuse generative AI (for images or video) with AI used for automation, reasoning, or workflow support. These are very different applications. In production environments, AI is often more useful for speeding up processes, reducing repeated mistakes, and helping frame the correct scope of a project.
For technical and visual production, it’s important to clarify what type of AI we are actually referring to before discussing solutions. Doing so helps align both the questions and the answers, ensuring everyone is on the same page. This kind of clarity creates the constructive and energetic discussions that I always appreciate when engaging with the Houdini/Technical Art community.
These things remind me of the Houdini community when I first tried to break in from scratch. There were many mysteries and untold details, sometimes things people preferred not to share, especially when there was no clear commercial benefit. Over time, I realized that sharing knowledge is actually a way for me to learn more myself.
In reality, only a small number of people will truly understand these ideas and extract what is useful for their own workflows, allowing them to evolve. Meanwhile, AI is advancing rapidly, often faster than major corporations can fully realize. Because of that, I feel comfortable sharing new discoveries, while still valuing the importance of revisiting old topics, practicing fundamentals, and digging deeper into the foundations.
In the end, strong fundamentals are what improve real understanding, not hype, marketing scam, or FOMO driven trends that produce flashy ideas but vanishes within weeks.