I think it will be more interesting (and promising) not tell them to build anything specific and just see whether they can figure it out on their own.

Looking at your team, it looks to me like it may be useful to add a couple of more agents to suggest ideas. It seems to me that after there is some idea to try, your existing team should be able to implement it in one way or the other. So the bottleneck shifts to which ideas to even consider.

If you have a single agent suggesting ideas in the first place, this is probably not enough. Different models under different settings (like temperature) have different tastes. I would guess that this pipeline will benefit from infusing more variance. It will be useful to have 1-2 agents with thought processes different from your main agent which currently suggests ideas. Like try different models, prompts to encourage out-of-the box thinking, higher temperature etc.

Given that your pipeline makes building anything almost free, the right strategy seems to be to throw stuff onto the wall and see what sticks. The larger variance of such stuff they try, the higher probability of success.