AI Builders: Building an AI agent for interior design
In this episode of AI Builders, I break down an AI application that lets users upload room photos and visualize store catalog items in their home using AI image models. You’ll see the full workflow, from prototyping in a notebook to optimizing the agent with tracing and evaluation tooling. If you’re a developer excited about building practical AI applications and not just demos, this video is for you.
Ready to build your own version? Use the blog post and GitHub repo below to follow along and start experimenting.
💻 *GitHub repo:* https://github.com/rratshin-wandb/ai-builders
📘 *Blog post:* https://wandb.ai/wandb_fc/ai-builders/reports/Building-an-AI-agent-for-interior-design--VmlldzoxNjY1NjY5MA
⏳Timestamps:
0:00 Welcome to AI Builders
0:33 Building a real-world agent for interior design
1:05 Prototype walkthrough: The application notebook
2:38 Reviewing the AI image model results
3:40 Exploring the agent traces
4:12 Evaluating, monitoring, and iterating on the AI application
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Chapters (6)
Welcome to AI Builders
0:33
Building a real-world agent for interior design
1:05
Prototype walkthrough: The application notebook
2:38
Reviewing the AI image model results
3:40
Exploring the agent traces
4:12
Evaluating, monitoring, and iterating on the AI application
🎓
Tutor Explanation
DeepCamp AI