What I learned building a RAG customer-service agent for a car dealership
Hybrid retrieval, trust scoring and fallback chains — what it actually took to make answers reliable.
Notes from the field
Notes from building AI systems.
Practical writing for learners and teams working with modern AI systems.
Live
AI updates from around the world
Pulled automatically from arXiv, Hacker News and major AI research blogs — refreshed on a schedule, not written by us.
OpenAI Blog3h ago
Building advertising for the way people use AI
OpenAI introduces a new visual ad format in ChatGPT and expands measurement tools, attribution partnerships, and brand suitability for advertisers.
Read sourceHugging Face Blog1d ago
The Agent Said It Was Done. The Database Disagreed.
Read sourcearXiv2d ago
Less Decoder is More Encoder: Geometric Representation Learning from Novel View Synthesis
Read sourcearXiv2d ago
4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes
Read sourcearXiv2d ago
What Should World Models Forget? Stratified Retention for Continual Adaptation
Read sourcearXiv2d ago
RNADyn: A Benchmark for Generating and Understanding RNA Dynamics
Read sourcearXiv2d ago
EyeRobot 2.0: Active Gaze for Precise Manipulation without Wrist Cameras
Read sourcearXiv2d ago
From Mixing to Tearing: Graph Decomposition in Decentralized Optimization via Message Passing
Read sourcearXiv2d ago
LESSER: Post-Training Data Selection with Output-Layer Gradients
Read sourceComing soon
Field notes are being prepared.
Real posts from real projects — not generic AI content.
Inside an AI-powered product-matching platform
Semantic search and LLM-assisted validation for matching retailer catalogs at scale.
What actually makes a course "project-first"
Why the structure of a project matters more than the number of lectures around it.
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