Pricing

Agent Docks is a node-based AI creation platform where you can generate and edit text, images, and video in one dedicated workspace, bringing models, tools, and outputs together so your creative work stays organised from start to finish.

You build (or choose) a workflow on a canvas, connect the steps from input to generation to variations, then run it to produce the results you're working towards.

Agent Docks connects to leading third-party models via API, so you can choose the best model for the job without leaving the platform.

You need to purchase additional credits through a top-up pack or wait for your plan to renew at the next billing cycle.

Monthly plan credits reset each billing cycle — they don't roll over, which is how we keep plans affordable. What you can count on: failed generations are never charged, you see every model's cost before you run it, and any paid top-up credits never expire while your subscription is active.

Yes. You can upgrade immediately without waiting for your plan to expire. Downgrades take effect at the end of your current billing period.

Templates are ready-to-run workflows. Drop in a prompt or an image, hit run, and the template produces a structured set of outputs, so you're not rebuilding the same setup every time.

Agent Docks is built around workflows, not one-off prompts. You can run complete pipelines from a single input, work from ready templates, trigger runs remotely through messaging channels, and automate workflows via webhooks, all inside one platform.

Yes. Save any workflow as a reusable setup so you can run the same process again, refine it over time, or apply it across multiple projects without rebuilding from scratch.

We don't train our own AI models on your Inputs or Outputs. Your content is processed to run your workflows, and some Inputs may be sent to third-party model providers when you generate, depending on the workflow and model you choose.

You keep ownership of what you upload (Inputs). Outputs are yours to use to the extent permitted by law and any relevant model/provider terms.

If a run fails or a provider is temporarily unavailable, you can retry, adjust settings, or switch models depending on your workflow. We're designed so you can keep moving even when a model has limits or changes.