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Supademo Academy

Overview: Your path, your roles, and every course, playbook, and workflow on one page.

Workflows: Recipes for AI Command, Claude, and AI demo agents, each with a video and the steps in order.

Playbooks: One use case from first recording to results, in a few short video steps.

Courses: Short video lessons in order, from recording a demo to managing your workspace.

Live training: A free 30-minute session with the Supademo team, for up to five people.

Docs: Every setting and feature, searchable.

More resources: Support, FAQs, integrations, API docs, and example demos.

Create Your Demo: Learn the fundamentals of recording high-quality interactive demos with Supademo.

Edit & Personalize: Master the editing tools to polish your demos, add personalization, voiceovers, translations, and custom branding.

Share: Learn all the ways to distribute and share your demos with your audience.

Measure & Improve: Track engagement analytics and optimize your demos for better results.

Workspace Foundations: Learn workspace management, themes, integrations, and enterprise admin features.

Edit & Personalize with AI Prompts

Edit and personalize demos with plain-language prompts, using AI Command inside Supademo or Supademo MCP in your own AI assistant.

20 minLesson 1 of 8
Lessons in Edit & Personalize1 of 8

Chapters

What you will learn

  • When to use AI Command and when to use Supademo MCP
  • Six AI Command prompts, from translations to finding where viewers drop off
  • How to connect Supademo MCP to Claude or another AI assistant
  • Three MCP prompts for bulk design changes, personalized copy and voiceovers, and tracking links

Two ways to prompt

Both run on the same engine. Pick the one that fits where you already work.

  • Inside Supademo

    AI Command

    It sits in a panel beside the demo you are editing, with nothing to set up. It asks before it changes anything.

    Good for: Translations, voiceovers, restyling, showcases, and analytics questions.

    About AI Command
  • In your AI assistant

    Supademo MCP

    It connects ChatGPT, Claude, Gemini, Grok, Copilot, or Cursor to your workspace, so you can prompt from the assistant you already use.

    Good for: Bulk edits and work that crosses tools, like a tracking link for every lead in a spreadsheet.

    About Supademo MCP

Watch the MCP walkthrough

Prefer to read? Expand to read the lesson

Part 1: AI Command

AI Command is built into Supademo. You describe the outcome you want in plain text, Command reads the demo you are working in and proposes the changes, and nothing runs until you approve them. The video walks through six prompts.

1. Translate a demo and add AI voiceovers

Translate this entire demo into Spanish, French, and Korean. Next, generate AI voiceovers using Joe's Cloned Voice 2. Don't add a voiceover on chapter steps.

2. Restyle hotspots and rewrite the copy

Make all hotspots in this demo use the pilled rounded corners and rewrite the hotspot text to be shorter, clearer, and more concise without being too short. Next, make the background color of the hotspot #c2193b and the next/back label backgrounds to be #72051b.

3. Build a showcase from a few links

Create a showcase collection using these demos, titled 'Mobile demos'. Add two sections: 'Uber & Turo example', 'Kindred example'. Put the relevant demos into each section:

[DEMO LINKS]

4. Find your most popular demo

What was our most viewed demo over the last 30 days?

5. Find where viewers drop off

Where are people dropping off in this demo?

6. Ask how a feature works

How does AI Data Editing work, and when should I use it?

The same command can run on several demos at once, or on every demo in a folder, while you keep working.

Part 2: Supademo MCP

The second video covers Supademo MCP: what it is, how to set it up in Claude, three prompts you can use right away, and when to use MCP instead of the built-in visual editor.

The three prompt examples cover:

  1. Making bulk design changes
  2. Rewriting and personalizing text and voiceovers
  3. Generating personalized tracking links from a spreadsheet of leads

What is Supademo MCP?

At a practical level, the MCP, or Model Context Protocol, gives compatible AI models and agents a secure, standardized way to access and work with demos on your Supademo workspace.

That means you can access, edit, and act on demos in your workspace through ChatGPT, Claude, Gemini, Grok, Copilot, or Cursor, using natural language instead of manual step-by-step editing.

For example, maybe you want to apply zooms across dozens of steps. Maybe you want to restyle every hotspot in a demo. Maybe you want to rewrite every step for a new audience using AI. All of this can be done in bulk in seconds, using the MCP. And for fine-grained, specific visual changes? You still have access to the built-in Supademo editor for precise control.

Tips

  • Be specific: include demo IDs, exact color values, and scope boundaries.
  • Ask the AI to summarize changes in a table before applying them.
  • Share reference links, docs, and branding guides as context.
  • Test prompts on a non-critical demo first.

Common Pitfalls

  • Don't rewrite live demos without reviewing proposed output first.
  • Use the built-in editor for fine-grained, pixel-perfect changes.
  • Always define explicit scope to prevent unintended edits.

Recommendations

  • Use MCP for bulk styling, copy rewrites, and mass link generation.
  • Use the editor for final QA after MCP changes.
  • Prompt the AI to propose changes in a table before applying.
  • Use dynamic variables to personalize one demo for many recipients.

Setting up MCP in Claude

Here's how to set up the MCP in Claude on the web:

  1. Open Claude and log into your account
  2. Click your profile icon in the bottom-left
  3. Go to Settings, then Connectors
  4. Click Add custom connector and enter the Supademo MCP URL and name
  5. Authenticate with your Supademo workspace
  6. Open a new chat and start prompting

One tip before you jump in: the more specific, contextual, and well-planned your prompt is, the better your result will be. Be specific about what demo you want to work on, what you want changed, and even ask it to summarize the changes to review before it actually makes edits. Feel free to give it reference links, docs, branding guides, or other material to take in as context as well.

Use case 1: Bulk design changes

Instead of changing zooms, hotspot styles, colors, and branching steps one step at a time, we're going to ask Claude to do it in one pass. Here's the prompt:

Example prompt:

I want you to update this Supademo: [INSERT DEMO ID OR URL] with the following changes:

1. Apply zooms across every step, using variations between 75% and 100% depending on the focal area around the hotspot.
2. Update some of the hotspots to use backdrop-dark to create some variations.
3. Change hotspot colors to:
   - primary hotspot color: #65a30d
   - label background color: #eab308
4. Update the chapter background to this attached image and change the primary button color to #65a30d.
5. Add a secondary button labeled 'Book demo' that navigates viewers to the last step, with bg color #eab308 and text color #000000

Before making any changes, first summarize the changes in a table.

Then proceed with the updates. Do not modify demo copy or voiceovers.

A few things to like about this prompt: it's explicit about scope (only touching design and structure), and it asks for a summary before changes are made, which is useful when you want a quick review before execution. When it's done, you can review the response, let it make the updates, and then jump into the Supademo editor for a fast visual QA pass.

Use case 2: Personalize step text and voiceovers

The second example is rewriting step text in your brand tone and then generating concise voiceovers to match. Here's the prompt:

Example prompt:

I want you to review this Supademo: [INSERT DEMO ID OR URL]

My goal is to improve the messaging so each step is more benefits-focused and aligned to the outcome we want for the viewer.

Use this context when rewriting:
- We want to position the product more clearly around business value and user outcomes without it sounding unnatural
- The copy should feel clear, confident, and concise
- Avoid generic filler language
- This demo is specifically about our new Route Hub feature, for which we have docs here: <docs URL>

For each step:
1. Propose improved on-screen text that is more benefits-focused
2. Propose a corresponding voiceover that is a shorter, focused variation of that text using 'Richard Yu' as the voice
3. Skip any chapter steps that are present

Important:
Do not change the text yet - output the proposed changes in a table before completing.

This is one of the best MCP workflows because it combines speed with guardrails. Instead of directly rewriting everything, you're asking Claude to first act like an editor. It looks at every step, proposes stronger copy, creates a shorter voiceover version for each one, and shows the full set in a table. That gives you a clean checkpoint before anything changes.

Once the table is generated, scan for three things: does the copy actually feel more benefits-focused? Do the voiceovers sound shorter and tighter than the text? And are there places where linking out to product updates or docs would improve the experience?

If the answer is yes, follow up with something simple like:

"Apply the proposed on-screen text and voiceovers for steps 1 through 12, but change steps 13 through 15 to be slightly more outcomes focused."

This is a great example of MCP complementing the built-in editor rather than replacing it. The MCP helps you get to a strong first draft quickly, then the editor is where you can fine-tune edge cases and do final QA.

Use case 3: Generate personalized tracking links at scale

The last example is one of the most useful workflows for teams doing outbound sales, ABM, or customer follow-ups. Upload a mock spreadsheet of leads and ask Claude to generate tracking links for each one. Even better, you can add dynamic variables in the demo (like name, company, and role), which the MCP will personalize for each lead.

Example prompt:

I am uploading a spreadsheet of leads for this Supademo: [INSERT DEMO ID OR URL]

Generate a unique tracking link for each lead in the spreadsheet and add them to a new column so we can share one core demo at scale while personalizing it per viewer. Make all the links expire on May 15th, 2026.

Do not rewrite demo content in this workflow. Only focus on link generation and variable mapping.

The MCP generates several tracking links from one demo, without the need to duplicate it for each prospect. You keep one core asset, personalize the viewing experience through variables, and still get a unique tracking link for each recipient. Then take the CSV and use it for prospecting, sales, or in another tool's MCP.

When to use MCP vs. the built-in editor

Use MCP when...

  • Making repetitive changes across many steps
  • Rewriting copy or voiceovers in bulk
  • Generating tracking links at scale
  • The change is easier to describe than click through

Use the editor when...

  • Fine-tuning specific visual details
  • Doing final QA after MCP changes
  • Pixel-perfect positioning of hotspots
  • Making one-off, precise visual adjustments

Wrapping up

Use AI Command when you are already in Supademo and want a change made now. Use MCP when you want to prompt from your own AI assistant or combine Supademo with other tools. Either way, describe the outcome, check the proposed changes, and use the built-in editor for precise visual changes.

If you're just getting started, try one of these prompts on a non-critical demo first, review the output carefully, and then build toward more repeatable workflows from there.