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.
Practical writing for learners and teams working with modern AI systems.
Pulled automatically from arXiv, Hacker News and major AI research blogs — refreshed on a schedule, not written by us.
How Greptile uses GPT-6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework.
Read sourceOpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on them.
Read sourceCodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.
Read sourceExplore OpenAI Signals data on 165 work activities across nearly 100 countries, revealing how people use ChatGPT for work and how usage changes over time.
Read sourceFanatics uses OpenAI to help fans complete their game-day outfits with Shop the Look. Testing across roughly 30,000 MLB products showed 10% higher engagement.
Read sourceSee how OpenAI engineers use Codex Ultrafast to investigate incidents in minutes. Explore faster security analysis, code refactoring, and daily workflows.
Read sourceBringing fast and capable computer use to everyone
Read sourceReal posts from real projects — not generic AI content.
Hybrid retrieval, trust scoring and fallback chains — what it actually took to make answers reliable.
Semantic search and LLM-assisted validation for matching retailer catalogs at scale.
Why the structure of a project matters more than the number of lectures around it.
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