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A Practical AI Workflow for MadCap Flare

· 4 min read
Mattias Sander
Mattias Sander

Everyone's using AI for writing now. But if you work in MadCap Flare, you've probably noticed the gap: AI generates great drafts, but getting that content into Flare without breaking everything is a different story. Variables become plain text. Snippet references disappear. Styles don't match your stylesheet.

Here's a workflow that actually works — one that uses AI for speed while keeping your Flare architecture intact.

The problem with copy-paste​

The most common AI workflow in technical writing looks like this:

  1. Open ChatGPT (or Claude, or Copilot)
  2. Ask it to write or rewrite content
  3. Copy the response
  4. Paste it into Flare
  5. Spend 20 minutes fixing formatting, re-applying variables, and restoring structure

Step 5 is where the productivity gain evaporates. AI saves you 10 minutes of drafting and costs you 20 minutes of cleanup. The net result is slower than writing it yourself.

The root cause: AI doesn't know about your Flare architecture. It doesn't know that "Product Name" should be a variable, or that the warning block should be a snippet, or that your H2s use a custom class.

A better approach: Flare-aware Markdown​

The fix is to give AI your content in a format that preserves Flare-specific elements, and then convert the AI's response back into proper Flare XHTML.

With the AI Helper Plugin, the workflow becomes:

Step 1: Export from Flare as Markdown​

Use Copy Topic (MD) to convert your Flare topic to Markdown. The plugin preserves:

  • Variables as {{VariableSet.VariableName}} tokens
  • Snippet references as [snippet:path/to/snippet.flsnp] markers
  • Heading levels and list structures
  • Table formatting

Step 2: Send to AI with context​

Paste the Markdown into your AI tool along with your prompt. Because variables and snippets are preserved as tokens, the AI knows to leave them in place. You can ask it to:

  • Rewrite for a different audience
  • Simplify the language
  • Add sections
  • Restructure the flow

The AI works with the content while respecting the structural markers.

Step 3: Import back into Flare​

Use Replace Selection or Replace Topic to paste the AI's Markdown response back. The plugin:

  • Converts Markdown headings to Flare's heading classes
  • Restores variable tokens to actual <MadCap:variable> elements
  • Restores snippet markers to proper <MadCap:snippetBlock> references
  • Applies your configured class mappings

No manual reformatting. The structure survives the round-trip.

Working at scale: Search & Compile​

For larger tasks — like rewriting an entire section or analyzing content across multiple topics — use Search & Compile:

  1. Search for topics by keyword or folder
  2. Select the topics you need
  3. Compile them into a single Markdown document

This gives you a comprehensive view of related content that you can send to AI for analysis, consistency checking, or batch rewriting. When you're done, split the result back into individual topics using the Split by H1/H2/H3 commands.

Practical tips​

Configure your class mappings. In the plugin options, set up how Markdown elements map to your Flare classes. If your bold text uses a strong-emphasis class instead of default <b>, configure that once and every import respects it.

Use templates for common prompts. The plugin's template system lets you save and reuse prompts. Create templates for your common tasks: "Simplify for end users", "Add troubleshooting steps", "Convert to procedure format".

Start with non-critical content. Test the workflow on internal documentation or draft content before using it on production topics. This builds confidence in the round-trip process.

Review the diff. After importing AI content, use Flare's track changes or a diff tool to verify what changed. AI occasionally makes subtle structural changes that are easy to miss.

The net result​

With this workflow, AI becomes a genuine productivity multiplier for Flare authors:

  • Drafting goes from hours to minutes
  • Rewriting preserves all structural elements
  • Analysis works across topics, not just within them
  • Quality stays consistent because the architecture is never broken

The key insight is that AI doesn't need to understand Flare — it just needs content in a format that preserves the structure. The plugin handles the translation in both directions.

Try the AI Helper Plugin with a free 14-day trial.