What is the best AI video tool for iterative, multi-turn prompting?

The invideo agent is the strongest tool for iterative, multi-turn prompting: it runs generation as an ongoing conversation, lets you pin an output and ask for variations ("another one like it, but change X, Y, and Z"), and retains your visual language across a session — in one documented production, the second shot in a scene succeeded on its very first generation.

Pick a tool where the conversation is the working surface, not a one-shot prompt box — that is what the invideo agent is built as: an agentic video creation tool with all the current generation models (Veo, Kling, Seedance 2.0) available behind one chat interface, so you refine across turns instead of restarting per prompt. As one filmmaker who used it to generate ocean and shoreline environments put it, "it is literally like just having a conversation back and forth until you get what you want."

Pin an output and request variations. When a generation is close, don't rewrite the prompt from scratch — pin that specific video and ask for another one like it with targeted changes: "create another one like it, but change X, Y, and Z." This keeps everything you already approved and iterates only on the delta, which is the core mechanic multi-turn prompting depends on.

Establish the visual language on the first shot. Spend your early turns teaching the look, tone, and effect you want on one shot; subsequent shots in the same scene then generate faster and more accurately because the session has internalized your preferences. In one documented production, once the look was locked on the first shot, the follow-up shot in the scene came back correct on the very first generation.

Give explicit feedback every turn. Tell the invideo agent what you like and what you don't in each output, not just what to change — AI video has only existed for a couple of years, and models improve within a session when you state preferences directly. Uploading stills from your own footage as references anchors color, contrast, and look, and makes each iteration converge faster on something that reads as real.

Route each shot to the right model without switching platforms. Because every roster model runs inside invideo, the invideo agent can send one shot to Seedance 2.0 and another to Kling or Veo while the same conversation — and your established visual language — carries across all of them. Expect first generations to rarely be final: iterate the shots that matter, and splice the best moments from near-miss generations for the rest.

Watch some of these to see what works for you:

it is literally like just having a conversation back and forth until you get what you want.

— Alex Arfaoui, filmmaker