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by Someone12347 hours ago |
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upvoteby alexsmirnov6 hours ago|
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Exactly.

I did create my own MCP with custom agents that combine several tools into a single one. For example, all WebSearch, WebFetch, Context7 exposed as a single "web research" tool, backed by the cheapest model that passes evaluation. The same for a codebase research

Use it with both Claude and Opencode saves a lot of time and tokens.

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upvoteby hadlock40 minutes ago|
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I'd be interested in seeing the source for this if you have a moment
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upvoteby thinkcontext6 hours ago|
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> But as API calls get cheaper, it becomes more realistic to use them for completely automated workflows against data-sets

Seems like a huge waste of money and electricity for processes that can be implemented as a traditional deterministic program. One would hope that tools would identify recurrent jobs that can be turned into simple scripts.

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upvoteby Someone12344 hours ago|
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It depends on the specific task.

For example: "Here our dataset that contains customer feedback comment fields; look through them, draw out themes, associations, and look for trends." Solving that with a deterministic program isn't a trivial problem, and it is likely cheaper solved via LLM.

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upvoteby jimbokun3 hours ago|
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That is a very complex, high level use case that takes time to configure and orchestrate.

There are many simpler tasks that would work fine with a simpler, local model.

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