> ## Documentation Index
> Fetch the complete documentation index at: https://playbook.pharmatools.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Repurpose Content Across Channels

> Adapt approved content from one format or channel to another while maintaining accuracy and references.

export const RiskBadge = ({level = "low"}) => {
  const styles = {
    "low": {
      bg: "#D1FAE5",
      fg: "#065F46",
      label: "Low"
    },
    "low-medium": {
      bg: "#ECFCCB",
      fg: "#365314",
      label: "Low–Medium"
    },
    "medium": {
      bg: "#FEF3C7",
      fg: "#854D0E",
      label: "Medium"
    },
    "medium-high": {
      bg: "#FFEDD5",
      fg: "#9A3412",
      label: "Medium–High"
    },
    "high": {
      bg: "#FECACA",
      fg: "#991B1B",
      label: "High"
    },
    "critical": {
      bg: "#DC2626",
      fg: "#FFFFFF",
      label: "Critical"
    }
  };
  const s = styles[level] || styles.low;
  return <span style={{
    display: "inline-block",
    backgroundColor: s.bg,
    color: s.fg,
    padding: "2px 12px",
    borderRadius: "999px",
    fontSize: "0.75rem",
    fontWeight: 700,
    letterSpacing: "0.03em",
    textTransform: "uppercase",
    verticalAlign: "middle",
    whiteSpace: "nowrap"
  }}>
      Risk tier · {s.label}
    </span>;
};

<Info>
  <RiskBadge level="medium" />

  \~15 min with AI per channel, \~45 min without
  Enhanced review with source cross-check; compliance review if channel changes regulatory context.

  Approved source → AI channel adaptation → Source cross-check → Channel-ready content
</Info>

## Best for

* Adapting an approved slide deck into a leave piece, email, or website module
* Generating consistent content across formats from a single approved source for a multi-channel campaign
* Repurposing a publication summary into a client briefing, social media content plan, or training material
* Adapting congress highlights into multiple deliverable formats

## Inputs

* Source content (reviewed and approved for at least one channel)
* Target channel specification (format, length, structure, audience)
* Channel-specific requirements (e.g., character limits, module structure, slide-count limits)
* Regulatory context for the target channel (promotional, non-promotional, educational)
* Any channel-specific style guides or templates

## Steps

<Steps>
  <Step title="Start with approved source content">
    The foundation must be verified. Repurposing amplifies accuracy — and amplifies errors. Only repurpose from stable, reviewed versions.
  </Step>

  <Step title="Define the target channel precisely">
    Specify format, length, structure, audience, and any constraints. A vague brief produces a vague adaptation.
  </Step>

  <Step title="Identify what changes and what stays fixed">
    Determine what needs to adapt (length, structure, depth, visual emphasis) and what must stay the same (claims, data points, references, safety information).
  </Step>

  <Step title="Generate the repurposed version">
    Use LLMentor or the prompt pattern below. Provide the full source content and explicit target channel requirements.
  </Step>

  <Step title="Cross-check claims against the source">
    Verify that every clinical claim in the repurposed version matches the approved source exactly. Condensing is where meaning drift is most likely and hardest to catch.
  </Step>

  <Step title="Review for channel fit and compliance">
    Confirm the output works natively for the target channel — not just a shortened or lengthened version of the original. If the target channel has different regulatory requirements, run a [compliance check](/workflows/check-promotional-compliance).
  </Step>
</Steps>

## Output

Good repurposed content derives clearly from the source but feels native to the target channel. It preserves all key messages, safety information, and reference citations while meeting the structural and length requirements of the target format. It should be immediately usable as a near-final draft after review.

## Prompt pattern

```
You are a medical communications content adaptation assistant. Your task is to repurpose the following content for a different channel.

Source content:
[INSERT APPROVED SOURCE CONTENT]

Source channel: [SPECIFY — e.g., HCP slide deck, 20 slides]
Target channel: [SPECIFY — e.g., two-page leave piece, email newsletter for HCPs, website content module]

Target channel requirements:
- Format: [SPECIFY]
- Length: [SPECIFY]
- Structure: [SPECIFY any required sections or format constraints]
- Audience: [SPECIFY if different from source]

Rules:
- Preserve all factual claims exactly as they appear in the source. Do not rephrase in ways that change the meaning.
- Retain all safety information present in the source. Do not cut safety content to save space.
- Maintain reference citations for all claims.
- If the target format requires condensing, prioritise: key efficacy messages, safety information, and the study context.
- Do not add information that is not in the source content.
- Flag any areas where condensing has required significant content reduction with [REVIEW — content reduced].
```

<Tip>
  **Customisation:** Adjust the target channel requirements section to match your organisation's specific format templates. For social media adaptations, add platform-specific constraints (character counts, hashtag conventions, visual ratio requirements).
</Tip>

## Why this works

AI is fast at reformatting and condensing content across structures, generating multiple channel versions from a single source for comparison. The human writer then makes the editorial decisions that AI cannot: what to cut when condensing, whether the narrative works in the new format, and whether the regulatory context has changed. This produces channel-native content far faster than writing from scratch, while the source cross-check catches the meaning drift that smooth-reading AI output can mask.

## Common mistakes

<AccordionGroup>
  <Accordion title="Meaning drift through condensing">
    A 20-slide deck states "Treatment X met the primary endpoint of ACR50 at Week 12 (p\<0.001)." The condensed leave piece reads "Treatment X showed significant improvement in joint symptoms." The specific endpoint, timepoint, and statistical threshold are lost. Cross-check every clinical claim against the approved source.
  </Accordion>

  <Accordion title="Dropping safety information to fit the format">
    A 2-page leave piece derived from a 20-slide deck drops the 3 safety slides entirely. The result is an efficacy-only document that fails fair balance review. Safety information must be present in every repurposed version. Compress it if needed, but never remove it.
  </Accordion>

  <Accordion title="Producing channel-inappropriate content">
    AI converts slide deck bullet points into prose, but the result reads like expanded bullet points rather than a cohesive narrative suitable for a print piece. Have someone familiar with the target channel review the output.
  </Accordion>

  <Accordion title="Introducing new claims during repurposing">
    AI adds a sentence about mechanism of action or treatment guidelines that was not in the approved source. Every statement in the repurposed version must trace to the approved source content. New information requires new approval.
  </Accordion>

  <Accordion title="Losing reference citations">
    Reference superscripts are dropped during reformatting, leaving claims unreferenced. Unreferenced claims in promotional content are an MLR rejection risk. Check that every referenced claim retains its citation in the repurposed version.
  </Accordion>
</AccordionGroup>

## Tool stack

| Tool                        | Role                                                               |
| --------------------------- | ------------------------------------------------------------------ |
| [LLMentor](/tools/llmentor) | Adapt content depth and complexity for different channel audiences |

**Alternatives:** [Claude](https://claude.ai) or [ChatGPT](https://chatgpt.com) for channel-specific rewriting. [Gamma](https://gamma.app) for converting content into presentation format. [Napkin](https://napkin.ai) for creating visual summaries or diagrams from text content.

## Review checklist

<Accordion title="Human review checklist">
  * All factual claims in the repurposed version match the approved source content
  * Safety information is present and proportionate
  * Reference citations are retained for all claims
  * No new information or claims have been introduced
  * The content genuinely fits the target channel format (not just a shortened/lengthened version)
  * Length and structure meet the target channel requirements
  * Regulatory and compliance requirements for the target channel are met
  * The repurposed version is consistent with the broader campaign or programme
  * Any significant content reductions are flagged for review
</Accordion>

***

**Next steps:** Run [Check Promotional Compliance](/workflows/check-promotional-compliance) if the target channel changes the regulatory context, then [Verify Claims Against References](/workflows/verify-claims-against-references) and [Final Human Review](/workflows/final-human-review) before use.

***

*Last reviewed: 15 April 2026*