Use case
Concepting is the job where a general AI tool helps least and a context-aware one helps most, because the constraint is not idea volume — it is whether a direction fits this brand, this audience and this budget. Multiply explores directions against the client context already loaded on the project, and generates benchmarked alternatives when a concept comes back too expensive.
Today
Every agency now has the same tools, the same prompts and the same training data, which means the fastest route to output is also the fastest route to work that looks like everyone else’s. Push a general assistant far enough on ideation and it starts returning variations of the same idea. Meanwhile the genuinely painful moment is late: a concept the client loves comes back over budget, and the alternative has to be as good, cheaper, and ready by Thursday.
How it runs
Brand guidelines, tone and prior work sit on the client’s workspace and steer every project underneath. Nobody pastes the brand book into a prompt, and nobody forgets to.
Directions come back framed by what the material says about the audience and the category, and each is traceable to what it drew on — which is what makes a direction defensible in an internal review rather than just interesting.
When a concept is too expensive, generating benchmarked alternatives with adjusted creative angles takes minutes rather than another round of internal meetings. This is the moment teams tell us they feel the difference most sharply.
Agencies build and own their own agents, tuned to how their creative process works. They are centralised, so a good one becomes the team’s rather than one person’s.
We would rather say it plainly: concepting is the use case where AI is most oversold across this entire category, ours included. The leap is human. What a platform can honestly do is remove the retrieval around the leap, keep the brand context present without anyone re-supplying it, and make the expensive late-stage rework cheaper.
If your bottleneck really is generating more ideas rather than running the work around them, an ideation-first tool may serve you better, and we would rather you knew that before a trial than after.
Related: the product for how the pieces fit together, multi-client operations for running several of these at once, agency operations for the underlying idea, and the other use cases if concepting is not the job you want to start with.
Bring a concept that came back over budget. That is the honest test of this one.
That is the risk with any shared model, and the reason context matters more than capability. Output steered by this client’s brand material, this agency’s frameworks and this project’s research is not the same output as a generic prompt — and the agents your team builds stay yours.
Concepting here means directions, angles and written development rather than finished visual execution. The product pages set out what each part actually does.
Usually not. Start where the work is mostly retrieval — research or pitch preparation — and come to concepting once the context is already accumulating.
Generating a benchmarked alternative live is a fairer test than any ideation demo.