Model choice and task-specific harnesses for AI agents
One post argues that agent-building has two priorities: finding the right balance of model cost and intelligence, and designing a harness that supplies the right context at any step.
TLDR
A post frames an AI agent as a model plus a harness. It recommends choosing a model that hits the cost/intelligence sweet spot for the job, then tailoring the harness to get the right context to that model at any step. It also shares a guide on LangChain’s site described as explaining how to build a domain-specific harness.
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