Publish HTML from ChatGPT to Revdoku

ChatGPT can help create small websites, reports, demos, charts, landing pages, and client review packets. The output often starts as one HTML file, then grows into a folder with CSS, JavaScript, images, Markdown notes, CSV data, and PDFs.

This tutorial shows how to turn that generated folder into a shareable Revdoku link.

When this workflow fits

Use this workflow when ChatGPT creates:

• A static index.html page.
• A mini landing page.
• A product or proposal mockup.
• A data report with charts.
• A document comparison summary.
• A small dashboard.
• A client review packet.
• A mixed folder with HTML, Markdown, CSV, PDF, and images.

Use a developer hosting platform instead if the project is becoming a maintained app with build commands, backend code, environment variables, and a production deployment pipeline.

1. Ask ChatGPT for a folder, not only a snippet

For publishing, a folder is easier to manage than loose code blocks.

Example prompt:

Create a static HTML review page for this project.

Return the files as a small folder structure:
- index.html
- styles.css
- app.js if JavaScript is needed
- README.md explaining the files
- data/sample.csv if you create structured data

Use relative paths only.
Do not reference local files from my computer.
Do not include secrets, API keys, or private customer data.

If ChatGPT cannot create files directly in your environment, copy the code into files with the same names.

2. Check the generated files locally

Before publishing, open the folder and check:

• index.html exists.
• CSS and JavaScript paths are relative.
• Images load.
• Links work.
• There are no .env files.
• There are no private paths such as /Users/name/....
• There are no secrets or tokens.
• Any sample data is safe to share.

For a simple HTML page, double-clicking index.html may be enough. For a more complex app, run a local static server and test in a browser.

3. Organize the folder for reviewers

A clean review folder might look like this:

chatgpt-review-site/
  index.html
  styles.css
  app.js
  README.md
  data/
    summary.csv
  docs/
    source-notes.pdf
  assets/
    chart.webp

Keep the homepage at index.html. Use clear names for data and documents. If the folder includes source notes, put them where a reviewer can find them.

4. Upload the folder to Revdoku

In Revdoku:

1. Create or open a bucket.
2. Upload the generated folder.
3. Confirm the file tree looks right.
4. Open the generated files from the bucket to check that the important files are present.

Revdoku is useful here because the output can stay as a folder. You do not need to convert every supporting file into a custom website route.

5. Publish the bucket as a website

Publish the bucket as a site and choose the URL settings.

Use:

• A public link for examples, demos, and open documentation.
• A password gate for client review.
• Password plus email capture when you need to know who accessed the packet.
• A custom domain when the page should live under a branded URL.

6. Share and watch analytics

After publishing:

1. Open the live URL yourself.
2. Test it in a private browser window.
3. Send the link to reviewers.
4. Watch analytics after people open it.
5. Update the folder if ChatGPT revises the page.

Example: document comparison packet

Suppose ChatGPT compares two policy drafts and creates:

policy-comparison/
  index.html
  README.md
  comparison-summary.md
  data/change-log.csv
  docs/original.pdf
  docs/revised.pdf

Revdoku can publish the HTML summary while still letting reviewers open the Markdown, CSV, and PDF files in the same folder.

That is the main advantage over treating the output as only a web page. The deliverable is the whole file packet.

Update and republish from the same chat

After the first publish, you can ask ChatGPT to update the existing HTML file in Revdoku. This keeps the site URL stable while changing the content your client sees.

When the update is ready, ask ChatGPT to republish the website and confirm analytics for the same demo site.

Takeaway

ChatGPT can create the HTML. Revdoku makes the result shareable.

Use this workflow when the next step is not “operate a web app.” The next step is “publish this generated folder, protect it if needed, and let people review it.”

Revdoku workflow screenshots

Sources checked

• OpenAI ChatGPT product context: https://chatgpt.com
• Revdoku local screenshot assets in _shared/revdoku-assets/

Start publishing for free

Connect this AI to Revdoku so it can store files, create, update, and publish websites for me. Read and follow https://revdoku.com/prompt.md. For ChatGPT, Claude, or another cloud AI, connect https://app.revdoku.com/mcp and complete Revdoku OAuth. For a local agent, use Revdoku's browser device sign-in and complete the connection in Revdoku. Never ask me for a password or API key in chat. When Revdoku tools are connected, verify the connection, tell me you’re ready, and ask what I want to publish.

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