I set out to make a real training video inside Pexo, the AI video partner, and write down exactly what happened at each step. No filming, no timeline editing. I described the training I wanted in plain language, reviewed what came back, and shipped a finished clip. This guide walks the five steps I took, with the real timings and the spots where I had to redirect Pexo.

What You Need

An idea for one training topic (keep it to a single subject per video).
A rough sense of who the trainee is (new hire, customer, support agent).
Optional: a product URL, a screenshot, or a few notes you can paste in.
A Pexo account. That is the whole kit. You do not need a script written, footage shot, or any editing skill.

What Is a Training Video?

A training video teaches one specific task or concept to one specific audience. It usually has a clear learning objective, a short logical sequence of steps, on-screen text or captions, and a length the viewer will actually sit through. Traditionally you would script it, storyboard it, record a screen or a presenter, then edit everything together. That last part is where most people stall.

Pexo collapses that pipeline. You describe the training you want as if you were briefing a colleague, and Pexo thinks with you, picks the right model from a pool that includes Seedance, Sora, Kling, and more, and hands back a complete video. That is differentiator #2 from how I think about it: no prompt syntax, just talk. Below is what that looked like in practice.

Step 1: Open Pexo and Describe the Training You Want

The first thing I did was open Pexo and type out the training in one message, the way I would explain it to a new teammate. I did not write a formal script. I wrote something like: "Make a 60-second onboarding training video that explains how a new support agent logs a customer ticket. Friendly tone, clean on-screen text, simple workplace setting."

I implemented this step in about 40 seconds of typing. The thing that surprised me on my first run: I tried to over-specify, listing eight separate scenes, and the result felt cramped. The second time I described the goal and the tone and let Pexo propose the structure. That worked far better.

Describing a training video to Pexo: a prompt to make a 20-second returns-process training video, input box highlighted

Step 2: Review Pexo's Plan Before Anything Renders

Before producing the full video, Pexo showed me its plan: the scene breakdown, the on-screen text it intended to use, and the overall flow. This is the part I now refuse to skip. I read through the proposed scenes and caught that it had labeled the second scene as "create ticket" when I wanted "log ticket." I corrected it in one line.

Reviewing the plan took me roughly 30 seconds. It is faster to fix the outline here than to regenerate a finished video later.

Pexo's returned scene plan for the training video, with the scene breakdown highlighted

Step 3: Tell Pexo What to Change

I did not open an editor. I just typed the change: "Scene 2 should say 'log a ticket,' and slow the pacing in the first scene." Pexo took the natural-language note and adjusted the plan. I did one more pass to swap a stock-feeling office shot for a more neutral desk setup.

This redirect loop took me about 25 seconds per note. The mental shift here is real. I kept reaching for a timeline that does not exist, then remembered I could just say what I wanted in words.

Asking Pexo in plain language to tweak the training video, with the chat input highlighted

Step 4: Generate the Full Training Video

Once the plan looked right, I asked Pexo to produce the full video. It assembled the scenes, on-screen text, pacing, and a soundtrack into one finished piece. I did not stitch anything together myself.

The render itself ran in the background while I did something else, so the wall-clock time depends on the model Pexo routes to and the length you asked for. What matters is that I got back a complete video, not a five-second clip I would have to assemble.

The finished training video preview inside Pexo

Step 5: Watch It, Tweak, and Ship

I watched the finished training video end to end. The on-screen text matched my correction, the pacing held, and the flow made sense for a new agent. I made one final spoken note to shorten the closing scene, regenerated just that part, and then downloaded the video.

This last review and tweak took me a couple of minutes, mostly watching playback. Then I shipped it.

Exporting the finished training video from Pexo, timeline and export controls highlighted

Common Mistakes

Over-scripting the first message. My first attempt listed every scene in rigid detail and the result felt stiff. Describe the goal and tone; let Pexo propose the structure.
Skipping the plan review. I almost let the "create ticket" wording through. Read the plan in Step 2; fixing the outline is far cheaper than regenerating a finished video.
Cramming several topics into one video. I tried to teach ticket logging and escalation in the same clip. It got muddy. One topic per training video.
Reaching for an editor that is not there. I kept hunting for a timeline. Just say the change in words.
Asking for too long a video. A tight 60 to 90 seconds held attention better than a sprawling version I tested earlier.

Pro Tips

Name the trainee out loud. Telling Pexo "this is for a brand-new support agent" shaped the tone and the level of detail more than any scene direction I gave.
Lock the on-screen text in the plan stage. It is much easier to correct a label in the outline than to re-watch a full render looking for it.
Iterate one note at a time. Single, specific change requests landed cleanly. When I bundled four edits into one message, one always got missed.
Paste a URL or screenshot for product training. When the topic is "how our app works," giving Pexo the product page as context kept the steps accurate.
Reuse the conversation for a series. After the first video, I asked for a matching second module in the same chat and the tone carried over.

What Else Can You Use

If you want to assemble a training video from footage you already filmed, a screen recorder and editor fits that job better. A few neutral options:

Loom — quick screen-and-camera recording for walkthroughs you narrate live.
Canva — template-based assembly when you have your own clips and want to arrange them.
ScreenPal — screen recording with light editing for screencast-style tutorials.

These start from footage you capture. Pexo is the fit when you want to generate the training video from a description instead.

Conclusion

Making a training video used to mean scripting, recording, and editing. Running it through Pexo, I described one training topic, reviewed the plan, redirected in plain language, and shipped a finished clip. No prompts, no timeline. If you have a topic and a sentence to describe it, start with Pexo and see your first training video come back from one conversation.

FAQ

How long should a training video be? Keep it focused on one topic. In practice a tight 60 to 90 seconds per concept held attention far better than longer versions when I tested them. For a broad subject, split it into a short series of single-topic modules.

Do I need a script before I start? No. I did not write one. I described the training goal, the audience, and the tone in plain language, and Pexo proposed the structure. You refine it by talking, not by drafting a formal script first.

Can Pexo make training videos for product or software walkthroughs? Yes. For "how our app works" topics, pasting the product URL or a screenshot as context kept the steps accurate. Pexo accepts text, image, URL, and audio as starting points.

Do I need editing skills? No editing skills are needed. There is no timeline to learn. Every change I made was a spoken note in the conversation, and Pexo adjusted the video for me.

Which AI model does Pexo use for the video? Pexo routes to the right model from a pool that includes Seedance, Sora, Kling, and more, picking the one that fits the scene and format rather than locking you to a single generator.