Getting Started

This guide walks through the shortest path from a new account to a finished video.

1. Create an account

Go to /auth/register and create your account.

After sign-in, MakeClipAI sends you into the product workspace where credit balance, generation, and history are connected.

2. Check your plan and credits

Before generating, confirm two things:

• your current plan
• your available credits

You can review plan details on /pricing and your current usage inside the authenticated dashboard settings.

3. Open the generation flow

Go to /dashboard and enter a prompt describing the video you want.

Good prompts usually include:

• the subject or scene
• the camera feel or motion
• the visual style
• the output goal, such as ad creative, concept clip, or product teaser

4. Choose a model

MakeClipAI exposes multiple models behind one workflow.

Use model choice to balance:

• quality expectations
• duration needs
• plan access
• credit cost

If you are just getting started, begin with a lower-cost model to learn how your prompts behave.

5. Submit and track the task

When you submit a generation, MakeClipAI creates a task and tracks it through a lifecycle such as:

• pending
• processing
• completed
• failed
• timeout

This gives you a clearer operational view than waiting on a single loading state.

6. Review the result in history

Completed videos are saved into generation history so you can:

• compare prompt iterations
• inspect model outputs over time
• reuse winning prompt patterns

7. Iterate with intent

The fastest way to improve output quality is to change one variable at a time:

• prompt wording
• duration choice
• model choice
• style constraints

That makes history much more useful because you can tell what actually improved the result.

Common first-session mistakes

• Starting with an expensive model before validating the prompt idea.
• Changing prompt, style, and model all at once.
• Ignoring plan gating for higher-tier models.
• Treating failed tasks as silent loss instead of checking refund behavior and task status.

Next: read Models and Credits.