Questions
Common questions about Prompt Combo, deployment, pricing, and local-first workflows.
Prompt Combo is a desktop tool for queueing prompts and running them automatically across multiple LLMs. You can inspect live logs and compare model outputs in one workflow.
Yes. The Free plan is permanently available and does not require signup. Pro and Teams add advanced workflow and collaboration features.
Yes. Prompt Combo supports both Windows and macOS, and installation takes about five seconds.
It is a desktop app built on Electron. Internet access is only required when you call an LLM API.
Prompt Combo supports major LLMs such as Claude, GPT, and Gemini. You can mix models inside one queue and switch during execution.
API keys stay on the user device only. They are not forwarded through a Prompt Combo server because there is no proxy server in the middle.
Yes. Prompt Combo connects to your own provider accounts, so model usage is billed directly by each API vendor.
Yes. Since Prompt Combo supports OpenAI-compatible endpoints, you can connect local stacks such as Ollama or LM Studio.
The same question is sent to two or more LLMs in parallel. Prompt Combo then compares agreements, disagreements, and open risks so you can review the result faster.
Yes. You can feed the result of Prompt A into Prompt B, and the queue manager handles the dependency order for you.
Yes. You can reorder pending prompts, insert new work, or remove queued items while a run is in progress.
Prompt Assets let you save repeatable prompt templates with variable slots. Add them to the queue with drag and drop, fill the variables, and run.
Usually yes. It includes a 5-item queue, the base log viewer, and access to all supported LLM connections. Consider Pro if you need Cross Validation or unlimited queues.
Cloud checkout opens through LemonSqueezy, and billing plus license handling follow that flow directly.
Refunds and subscription changes follow the payment provider policy. For edge cases, contact us through the Feedback page or email.
The base assumption is two seats or more, but rollout conditions can be adjusted based on your team size and support needs.
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