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Evaluating LLM Agents in Rails
How a Rails team knows whether its LLM agents still work: bounded schemas at the boundary, and a per-iteration audit trail you can read a month later.
· JetThoughts Team
Multi-Agent LLM Pipelines in Rails
Our production multi-agent LLM pipeline in Rails: eight RubyLLM agents on a 21-line base class, a 16-line loop, and the deploy that starved the database pool.
· JetThoughts Team
Ruby Fibers for LLM Streaming in Rails
LLM responses stream for 30 seconds while a Rails thread waits. The arithmetic of Puma threads vs open SSE streams, and when Falcon's fibers earn the switch.
RubyLLM in Rails: Chat, Tools, Streaming
Add LLM chat to Rails with RubyLLM: one API for OpenAI, Claude, and Ollama, acts_as_chat persistence, tool calling, streaming into Turbo, and real trade-offs.
· JetThoughts Team
How to Cut LLM Application Costs With Token Budgets
Where LLM spend actually goes: the fixed prompt you resend every call. Measure tokens from API usage, use prompt caching, batch what can wait, and cache identical requests.
The Engineering Unlocks Behind DeepSeek | YC Decoded
DeepSeek R1 engineering breakdown from the YC Decoded video: V3 efficiency, reinforcement learning, mixture of experts, and what the $5.6M training figure covers ✓
Mastering Generative AI: The 4-Stage Blueprint for Success
Four stages of adopting generative AI: give staff API access, add your internal data, retrain models for your brand, then treat Gen AI as a product.
Bob McGrew: AI Agents And The Path To AGI
Bob McGrew (OpenAI CRO) on AI agents and AGI: Learn AI reasoning, scaling laws, reliability strategies. Build AI startups, understand future of work, leverage AI capabilities ✓
Bob McGrew, Ex-OpenAI Research Chief, on the Road to AGI
Bob McGrew, former Chief Research Officer at OpenAI, shares insights on AI's evolution, the importance of scaling laws, and the future of jobs in an AI-driven world. Discover how reasoning and advanced AI agents will shape our future.
How Scaling Laws Will Determine AI's Future | YC Decoded
Explore the debate on scaling laws in AI and how they shape the future of large language models. Discover insights from the YC Decoded episode featuring Garry Tan.
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