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.
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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 Blog18h ago
Supporting Thailand’s next generation of AI startups
OpenAI and Thailand’s MHESI launch an eight-week accelerator helping 10 health, wellness, and education startups turn AI prototypes into trusted products.
Read sourcearXiv1d ago
CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure Modes
Read sourcearXiv1d ago
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Read sourcearXiv1d ago
SWE-Prime: Fewer Trajectories, Better Performance
Read sourcearXiv1d ago
TTPO: Test-Time Policy Optimization
Read sourcearXiv1d ago
From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
Read sourcearXiv1d ago
RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution
Read sourcearXiv1d ago
Mechanistic Reaction Prediction via Discrete Flow Matching on Graph-Structured Electron Occupation
Read sourcearXiv1d ago
Stochastic Estimation of Transduced Language Models
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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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