Agents don't chain models by default — concrete goals make them do it on first try
PrateekVJoshi · x · 2026-11-14
An empirical observation: agents running models in parallel rarely compose them into pipelines on their own — even when chaining is supported, open-ended tasks default to a single model across inputs. But when given a concrete goal like "generate a photo and turn it into 3D," a fresh agent chains multiple models successfully on the first try.
Takeaway: task-specific skills and good starting prompts matter more than adding more models to an agent's toolbox.
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