DaisyAI Content Pillars

The Five Pillars

1. UM Industry Pain (um-industry-pain)

Focus: Problems in utilization management that DaisyAI solves

Topics:

• Prior auth delays and patient outcomes
• UR nurse burnout and turnover
• Manual chart review inefficiency (20-30 min per case)
• Payer-provider friction
• Regulatory burden (CMS rules, state mandates)
• Appeal rates and denials

Voice: Empathetic, insider knowledge, "I've seen this firsthand"

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2. AI in Healthcare (ai-in-healthcare)

Focus: How AI transforms clinical workflows responsibly

Topics:

• Human-in-the-loop design philosophy
• Why we don't replace clinicians
• HIPAA compliance for AI systems
• Accuracy vs speed tradeoffs
• Trust and transparency in AI
• Structured output over black-box LLMs
• Citation-backed determinations

Voice: Thoughtful, balanced, technically credible

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3. Product/Demo (product-demo)

Focus: DaisyAI features, wins, and capabilities

Topics:

• 7 specialized AI agents
• Document processing demos
• Workflow improvements
• Time savings (20-30 min → 2 min per case)
• Feature launches
• Customer success (anonymized)

Voice: Confident but not salesy, show don't tell

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4. Founder Journey (founder-journey)

Focus: Building a healthtech startup authentically

Topics:

• Lessons learned
• Technical decisions and pivots
• Fundraising stories
• Team building
• Personal reflections on healthcare
• Why we started DaisyAI

Voice: Vulnerable, honest, relatable

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5. Research/Data (research-data)

Focus: Industry data, studies, and original insights

Topics:

• UM industry statistics
• AI benchmark results
• Policy analysis (CMS, state regulations)
• Market trends
• Academic research summaries
• Our own accuracy/performance data

Voice: Authoritative, data-driven, educational

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Voice Guidelines

Overall Tone

Professional, direct, founder-authentic

Do

• Write like explaining to a smart colleague
• Use specific numbers and examples
• Acknowledge complexity and tradeoffs
• Share genuine insights, not platitudes
• Be opinionated when you have conviction

Don't

• Corporate jargon or buzzwords
• Overpromise or hype
• Sound like a press release
• Be preachy or self-congratulatory
• Generic AI excitement without substance

Platform Adjustments

Twitter:

• Punchy, hook-first
• Thread-friendly (break up longer takes)
• Hot takes welcome
• Engage with replies

LinkedIn:

• Professional narrative
• Industry context matters
• Can be longer/more nuanced
• First line is critical (before "see more")

Substack:

• Deep dives, longer form
• Educational structure
• Can include technical detail
• Build email relationship