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Pydantic + OpenAI: The Cleanest Way to Get Structured Outputs from LLMs
In my latest post on structured outputs, the three main approaches for getting machine-readable responses from an LLM. Those are JSON Mode, Function Calling, and…
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Anthropic Claude Sonnet 5 vs Sonnet 4.6 vs Opus 4.8: Agentic Coding Benchmarks, API Pricing, and Cost-Performance Tradeoffs Compared
Anthropic just shipped Claude Sonnet 5. They call it its most agentic…
Skyfall AI Releases MORPHEUS: A Persistent Enterprise Simulation Benchmark That Makes Continual Reinforcement Learning Necessary Under Structured Non-Stationarity
Most reinforcement learning benchmarks reset the world after every episode. Real operations…
Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks
def tool_shot_planner(instruction, captions): """Global-aware storyboard sub-queries from instruction + caption bank.""" bank…
Context Rot: Why Claude Code Sessions Decay, and How to Govern Them
The context window is a core feature of every frontier model. Measured…
Building Models in Two Worlds: From Latent Constructs to Behavioral Signals
Two response variables that look identical and aren’t , the thing I…
The Three Dimensions of Custom Agentic Alignment: Purpose, Principles and Practices
are rapidly moving from experimental prototypes to embedded actors across industries, government…
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