Curated by Vinod Kumar Jain & Amit Jain · All Frontier Global · free, no login
Give a theme and any constraints that matter, and this returns a spread of ideas deliberately different from one another rather than eight versions of the same thought. Respin until something catches. These are AI suggestions — judge them yourself. The value is in the one that makes you think of a better one.
How to get something useful out of it
Give it real constraints. "No budget, one week, forty people in an office" produces sharper ideas than an open brief, because the constraints do the work.
Respin rather than refine. The second and third sets diverge more than asking it to improve the first.
Judge them yourself. A language model has no idea what will work in your situation, what has already been tried, or what your colleagues will tolerate. It produces plausible options; the judgement is entirely yours.
The best outcome is often not on the list. It is the idea you have while reading one that is nearly right.
This is one of six tools on the estate that use the network. It talks only to this site’s own endpoints — nothing you type goes to a third party directly, and nothing is stored. The other fifty-seven run entirely in your browser.
Honest limits
Plausible is not good. Fluency is the thing these models are best at, and it is uncorrelated with whether an idea works.
Expect the obvious. Common ideas are common in the training data too; the unusual setting is there because the first pass will often be conventional.
It cannot check novelty. An idea it offers may already exist, be patented, or have failed publicly. Search before you invest anything in one.
Nothing is stored, and the list disappears when you close the tab.
Sources
None. The ideas are generated by a language model from your prompt and its training data — they are not drawn from a database of what has worked, and no claim of novelty, originality or feasibility is made or implied.