Cohere just broke down the exact architecture for scaling reasoning models - better than any $5000 prompt engineering bootcamp.
chat models predict text -> agent models use verifiable rewards -> reinforcement learning filters bad actions -> agent scaffolding handles the environment.
That training loop is why raw prompt engineering is dead and RLVR is the only way forward for autonomous agents.
RLVR + deepseek GRPO + verifiable rewards + agentic scaffolding - that's the production stack.
Watch and save it, then stop writing chat prompts and start building agents.
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