Introduction: Why spatial computing is transforming AI assistants
By 2026, artificial intelligence has evolved far beyond answering text-based queries. Platforms like Andrew Ng’s OpenWorker, Anthropic’s Claude Opus 5, and Nvidia’s new Medical Physics Simulation demonstrate how spatial computing is bridging the gap between AI’s abstract thinking and its application in the physical world.
If you’re looking to collaborate with an AI assistant in 3D environments, design spatial interfaces, or develop healthcare robotics, this article will guide you through the process step by step.
1. Understanding spatial computing and its applications
Spatial computing combines augmented reality (AR), virtual reality (VR), and location tracking to enable AI to interact with and respond to its surrounding environment.
Key applications in 2026
- Immersive product prototyping:Designers use AR-based HUDs to visualize 3D prototypes.
- Practical training:AI instructors provide real-time feedback on movements in robotics labs.
- Healthcare:Surgical robots receive real-world feedback through Nvidia’s simulation data.
2. The new AI assistants making this possible
OpenWorker: A local desktop coworker
OpenWorker is a MIT-licensed desktop agent that transforms user requests into production-ready outputs, such as reports, prototypes, and scripts. It operates entirely offline, making it ideal for privacy-sensitive workflows.
Code example: Launching an OpenWorker instance to generate a 3D product visualization.
# Installation (local, no GPU required)
pip install openworker
# Launch the agent
openworker --workspace ./designs --output ./render.png
# Use the API to create a scene
from openworker import Client
client = Client()
scene = client.generate_scene(prompt="minimalist metal chair model", format="glb")
scene.save("chair.glb")Claude Opus 5: Agentic programming with computer control
Claude Opus 5 maintains its $5 per million token pricing but introduces advanced computer control capabilities. It can click, drag, and compile code in IDE-assisted design editors, making it perfect for spatial computing workflows.
Nvidia Medical Physics Simulation: Healthcare robotics trained in the physical world
By treating robots as physical AI systems, Nvidia’s framework provides models with hands-on experience. Virtual surgeons can now practice procedures on digital twins with realistic tactile feedback.
3. Crafting effective prompts for spatial AI assistants
A well-structured prompt guides the AI by specifying the desired geometry, interactions, and output format.
Basic structure:
- Goal:What needs to be created.
- Spatial constraints:Dimensions, coordinates, reference system.
- Style/output:File format, resolution, rendering notes.
- Additional context:Brand, target audience, branding guidelines.
Example prompt for Claude Opus 5
Design an AR dashboard for a wearable medical device.
- Location: Hologram overlay on the doctor’s chest.
- Dimensions: 720p, 60 Hz.
- Style: Minimalist, blue/white color scheme.
- Output: .gltf file ready for Unity.This prompt provides Claude Opus 5 with all the necessary information to create a ready-to-use 3D asset.
4. Integrating workflows: From design to assistant
A typical 2026 workflow might look like this:
- Concept definition(using OpenWorker for initial drafting).
- 3D prototyping(Claude Opus 5 generates meshes).
- Validation(Nvidia Medical Physics Simulation tests physical interactions).
- Iteration(Automatic prompt updates based on feedback).
By automating each step, teams can reduce time-to-market from months to weeks.
5. Real-world case studies
Portable heart device
A healthcare company previously relied on 2D models for their devices. By integrating OpenWorker for initial drafting, Claude Opus 5 for 3D modeling, and Medical Physics Simulation for stability testing, they reduced their design cycle by 40% and achieved a production-ready prototype in just three months.
-surgical training
A partner hospital created a VR surgical training environment using the above pipeline. Trainees performed virtual procedures with realistic tactile feedback, resulting in a 25% improvement in practical assessments.
6. Concrete actions you can take today
- Try OpenWorker:Install it locally and generate a simple 3D scene to experience its speed firsthand.
- Explore Claude Opus 5:Use its computer control features to create an AR user interface within an IDE.
- Access Medical Physics Simulation:Import a basic robot to simulate surgical movements.
- Experiment with prompts:Copy the prompt template above and adapt it to address specific industry challenges.