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AI for Blender in 2026 | Agentic MCP Agents vs Assistant Mode | ChatGPT, Claude, Local LLMs
Artificial Intelligence is rapidly transforming how we work in #Blender, but not all #AI solutions are the same. Here we will show you how ChatGPT, Claude and Local AI like Ollama can assist you in Blender workflows
In this video, I break down two fundamentally different approaches to AI in Blender:
(1) AI assistants that support your workflow, and
(2) Agentic AI systems using #MCP that can autonomously plan and execute tasks.
You will see how AI evolves from simple assistance to fully agentic workflows, where local Large Language Models (#LLM) run directly on your machine and take responsibility for complex actions inside Blender.
Chapters:
0:00 Intro
1:18 AI assitant (ChatGPT + Belnder)
6:45 Agentic AI - Blender MCP + Claude
10:08 Create a robot (WALL-E)
11:47 Create the Solar System
13:16 Create a doughnut
14:37 Minecreaft style Stonehenge + UFOs
15:12 Fix sheders for BIM projects
17:07 Genereate a report from a BIM project
18:27 Modigy a BIM project
19:40 Connect ChatGPT and Local LLM to Blender
24:30 Setup AnythingLLM with Blender MCP
25:41 Gemma 3 + AnythingLLM + Blender MCP
26:39 ChatGPT 5 nano + AnythingLLM + Blender MCP
27:30 Conclusions
We cover:
- What AI assistants do well in Blender, and where they stop
- How agentic MCP tools work, and why they represent the next level
- The difference between “AI helping you” and “AI doing the work”
- Why local LLMs matter for performance, privacy, and control
- Practical examples of plug-and-play agentic workflows
- What this means for designers, engineers, VFX artists, and researchers
Whether you are a Blender power user, developer, researcher, or decision-maker, this video will help you understand which AI architecture fits your needs today, and where Blender workflows are heading in 2025.
This is not hype. It is a clear, technical comparison of AI assistance versus autonomous agentic systems, explained through real-world workflows and practical insights.
Keywords:
Blender AI, AI for Blender, Agentic AI, MCP Blender, AI agents Blender, Local LLM Blender, Blender automation, AI workflows 2025, Generative AI Blender, AI tools for 3D modeling
#Claude #ChatGPT #Ollama #LocalLLM #Gemma #AnythingLLM
Rino's website: https://www.lovreglio.info/
Rino's Wikipedia page: https://en.wikipedia.org/wiki/Ruggiero_Lovreglio
Rino's Linkedin page: https://www.linkedin.com/in/ruggiero-rino-lovreglio-75a61659/?originalSubdomain=nz
Видео AI for Blender in 2026 | Agentic MCP Agents vs Assistant Mode | ChatGPT, Claude, Local LLMs канала Prof Rino and Caroline the boss
In this video, I break down two fundamentally different approaches to AI in Blender:
(1) AI assistants that support your workflow, and
(2) Agentic AI systems using #MCP that can autonomously plan and execute tasks.
You will see how AI evolves from simple assistance to fully agentic workflows, where local Large Language Models (#LLM) run directly on your machine and take responsibility for complex actions inside Blender.
Chapters:
0:00 Intro
1:18 AI assitant (ChatGPT + Belnder)
6:45 Agentic AI - Blender MCP + Claude
10:08 Create a robot (WALL-E)
11:47 Create the Solar System
13:16 Create a doughnut
14:37 Minecreaft style Stonehenge + UFOs
15:12 Fix sheders for BIM projects
17:07 Genereate a report from a BIM project
18:27 Modigy a BIM project
19:40 Connect ChatGPT and Local LLM to Blender
24:30 Setup AnythingLLM with Blender MCP
25:41 Gemma 3 + AnythingLLM + Blender MCP
26:39 ChatGPT 5 nano + AnythingLLM + Blender MCP
27:30 Conclusions
We cover:
- What AI assistants do well in Blender, and where they stop
- How agentic MCP tools work, and why they represent the next level
- The difference between “AI helping you” and “AI doing the work”
- Why local LLMs matter for performance, privacy, and control
- Practical examples of plug-and-play agentic workflows
- What this means for designers, engineers, VFX artists, and researchers
Whether you are a Blender power user, developer, researcher, or decision-maker, this video will help you understand which AI architecture fits your needs today, and where Blender workflows are heading in 2025.
This is not hype. It is a clear, technical comparison of AI assistance versus autonomous agentic systems, explained through real-world workflows and practical insights.
Keywords:
Blender AI, AI for Blender, Agentic AI, MCP Blender, AI agents Blender, Local LLM Blender, Blender automation, AI workflows 2025, Generative AI Blender, AI tools for 3D modeling
#Claude #ChatGPT #Ollama #LocalLLM #Gemma #AnythingLLM
Rino's website: https://www.lovreglio.info/
Rino's Wikipedia page: https://en.wikipedia.org/wiki/Ruggiero_Lovreglio
Rino's Linkedin page: https://www.linkedin.com/in/ruggiero-rino-lovreglio-75a61659/?originalSubdomain=nz
Видео AI for Blender in 2026 | Agentic MCP Agents vs Assistant Mode | ChatGPT, Claude, Local LLMs канала Prof Rino and Caroline the boss
AI for Blender Blender AI Blender automation Agentic AI MCP agents Model Context Protocol Blender AI assistant Blender AI agents AI workflows 2025 Blender 3D AI local LLM local AI offline AI Blender scripting Python Blender AI tools Blender generative AI 3D AI modeling Blender AI productivity procedural Blender AI for designers AI for engineers Gemma 3 LLM agents autonomous AI AI pipeline Blender Blender for beginner Blender BIM
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28 ноября 2025 г. 5:28:10
00:28:47
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