Both of those orchestrations will work for sure.
Smart agent to orchestrate cheaper agents for labour.
Dumber agents to be very explicit about asking smarter agents for requests that require deep information.
This is a thing - the SOTA models really light up the more information you can provide them, and humans are too lazy / incapable of doing that in every prompt.
Entirely depends on what you are trying to do.
Edit: you can also use a smart agent to ask another smart agent, obviously, which is good for personal workflows.
Doesn't that muddle intent of the original prompt? If the smarter model didn't understand your intent correctly, the dumber one sure won't and it rephrasing and expanding the prompt will just amplify it's misunderstanding, no?
It could make sense to use a cheap model to decide if you need to run a long, high effort or otherwise costly effort. Then you can take many decisions at low cost, but think hard when it’s time to make an important decision.
You wouldnt normally use a dumb model as a personal agent to get a smarter model to do work, but you may make use of that mechanism in some kind of automation process.
But there are definitely cases.
GPT Pro is an absolutely spectacular model, that almost cannot be used without 'prompt help'. Or rather, it can only be effectively leveraged by very intricate prompting, which requires the help of another agent.
I typically use Claude Code to write prompts for GPT Pro , and cut and paste the prompt in, and let GPT Pro work for 20 minutes, then take the response back to Claude Code and work with Opus to consider the results.
Opus is 'dumber' (nominally) then GPT Pro.
>you can also use a smart agent to ask another smart agent
What's the best method to have a 'smart' agent just.. ask itslef?
Generally, you want a different smart agent as they have different strong sides (e.g. call Sol for a review from Opus)
You may use https://github.com/pingdotgg/t3code as a wrapper above claide/codex/pi/... harnesses, or a proxy below (forgot which one, as agent what theo uses for balancing multiple claude subs)
I highly doubt that claim, has it been tested rigorously? I understand mixing different models to save money and time by using cheaper and faster models for certain tasks. But different models just to increase accuracy seems implausible.
[dead]
Just ask. The agents already know how. To boost it, have it read the exact docs that OAI/Anthropic provide.
Asking Claude to make prompts is like a Math teacher stuck working at a cafe about Math problem, the just light up.
They are very good at at it.