After decades of building a name synonymous with real estate, Rogers Healy, Founder & CEO of Morrison Seger Venture Capital Partners, made a counterintuitive decision: step back from everything he knew to start something completely different.

My takeaways from the episode:

  • Success can quietly trap you. Rogers talks candidly about how public recognition brought pressure, criticism, and eventually clarity about what actually mattered.

  • The best connectors give before they need. His “Spaghetti Junction” approach to relationships isn’t strategic—it’s instinctive. And it works.

  • Second chapters require courage, not comfort. Walking away from predictability into venture investing wasn’t a leap—it was a slow, honest reckoning.

  • Imagination is a business advantage. From music to investing, Rogers sees patterns others miss because he hasn’t stopped thinking like a kid.

Listen now on Spotify and Apple Podcasts.

This Week’s Guide: Comparing Different LLMs (Hotel Industry Edition)

As a Hotel GM, you don't need to become an AI expert, you just need to know which one to use depending on the task. This week’s guide gives you practical recommendations based on hospitality-specific use cases.

The Bottom Line: There is no single "best" AI. Each tool excels at different tasks. Smart GMs will use 2-3 tools strategically rather than forcing one tool to do everything.

By the way, when I talk about “tools”… I mean the Large Language Models (LLMs) like ChatGPT or Claude.

Which AI to use depending on the task:

Task

Best Tool (LLM)

Why

Writing guest complaint responses

Claude

Most empathetic, natural tone

Drafting owner reports

Claude

Professional, detailed narratives

Analyzing STR data

ChatGPT

Code Interpreter processes files

Competitive rate research

Perplexity

Real-time with citations

Gmail business emails

Gemini or Claude

Gemini native; Claude quality

LinkedIn posts

Claude

Most authentic, non-generic

Summarizing brand standards

Gemini

Handles massive documents

Creating PowerPoint decks

Copilot

Native PowerPoint integration

Review response templates

Claude

Unique, non-generic responses

Market analysis research

Perplexity

Sourced, verifiable facts

Training material creation

ChatGPT

Engaging content, quizzes

Contract review/analysis

Claude

Nuanced legal language

Social media content

ChatGPT

Creative, image generation

Email drafting in Outlook

Copilot

Native integration

Quick fact-checking

Perplexity or Gemini

Fast, sourced answers

The Five Major AI Tools

1. Claude

Claude, by Anthropic, is an LLM founded by former OpenAI researchers focused on AI safety. The current flagship models are Claude Opus 4.5 (most powerful) and Claude Sonnet 4.5 (balanced).

       Best for: Long documents, nuanced writing, detailed analysis, coding

       Context window: Up to 200K tokens (approximately 150,000 words)

       Standout feature: Most human-like, natural writing style; excellent at maintaining context across long conversations

       Limitation: Cannot generate images; web search is newer than ChatGPT's

2. ChatGPT

ChatGPT, by OpenAI and is the most widely recognized AI assistant. Current models include GPT-4o (multimodal), GPT-4.1 (coding optimized), and GPT-5.

       Best for: All-in-one tasks, image generation, voice conversations, everyday questions

       Context window: Up to 400K tokens with GPT-4.1

       Standout feature: Memory across conversations (remembers you); image generation with DALL-E; largest plugin ecosystem

       Limitation: Writing can feel more generic; sometimes verbose

3. Google Gemini

Gemini is Google's flagship AI, deeply integrated with Google Workspace (Gmail, Docs, Sheets, Drive). Current model is Gemini 3 Pro.

       Best for: Google Workspace users, research with citations, processing huge documents

       Context window: Up to 1 million tokens (largest in the industry)

       Standout feature: Best Google integration; can search Gmail, Drive, and Calendar; excellent for video understanding

       Limitation: Less natural writing style; fewer third-party integrations

4. Microsoft Copilot

Copilot is Microsoft's AI assistant, built into Microsoft 365 (Word, Excel, PowerPoint, Outlook, Teams). Uses GPT-4 under the hood.

       Best for: Microsoft 365 users, creating documents/spreadsheets/presentations, email management

       Standout feature: Native integration with Word, Excel, PowerPoint, Outlook, and Teams

       Limitation: Requires Microsoft 365 subscription; most expensive for full features ($30/user/month)

5. Perplexity AI

Perplexity is an AI-powered search engine that provides direct answers with source citations. Think of it as Google Search meets ChatGPT.

       Best for: Research, fact-checking, competitive intelligence, current information

       Standout feature: Every answer includes source citations; real-time web access; excellent for fact-based research

Limitation: Not ideal for creative writing or long-form content generation

Side-by-Side Prompt Examples

Seeing is believing. Here are real outputs from the same prompt across different AI tools to illustrate their different strengths.

Example 1: Guest Complaint Response

Prompt: "Write a response to a guest who complained that their room wasn't ready at 3pm check-in time, and they had to wait 45 minutes in the lobby with their tired children after a long flight."

Claude's Response:

"Dear [Guest], I'm truly sorry for the frustrating start to your stay. After a long flight with tired children, the last thing you needed was to wait in our lobby. You're absolutely right to expect your room ready at our posted check-in time. I've personally looked into what happened and am taking steps to ensure this doesn't occur again. I'd like to offer [compensation] and hope you'll give us another chance to provide the experience you deserve. Please reach out to me directly if there's anything more I can do."

Why Claude wins: Empathetic, acknowledges the children specifically, takes personal ownership, professional yet warm tone.

ChatGPT's Response:

"Dear Valued Guest, Thank you for bringing this matter to our attention. We sincerely apologize for the inconvenience caused by the delay in your room readiness. At [Hotel], we strive to provide seamless experiences for all our guests. We understand that traveling with children can be challenging, and we regret adding to that difficulty. As a gesture of goodwill, we would like to offer [compensation]. We value your feedback and will use it to improve our services."

Observation: More formal and corporate. Correct but lacks the personal warmth of Claude's response.

Example 2: Market Research

Prompt: "What are the current average daily rates for upscale hotels in downtown Austin, Texas?"

Perplexity's Response:

"Based on current data, upscale hotels in downtown Austin are seeing ADRs ranging from $189-$267 depending on location and amenities. The Fairmont Austin is averaging $245/night, while the JW Marriott is at $267/night. The Line Austin runs approximately $198/night. [Source: TripAdvisor, Hotels.com, accessed January 2026]"

Why Perplexity wins: Specific current numbers with named sources. You can verify this information.

Claude/ChatGPT Response:

"Upscale hotels in downtown Austin typically range from $180-$300 per night depending on season and events. Rates tend to spike during SXSW, ACL Festival, and UT football weekends. For current specific rates, I'd recommend checking..."

Observation: General ranges without specific current data. Useful context but not actionable competitive intelligence.

Example 3: Data Analysis Request

Prompt: "[Upload STR report] Analyze this STR report and identify our biggest opportunities versus comp set."

ChatGPT (with Code Interpreter):

"After analyzing your STR data, I've identified three key opportunities: 1) Your weekday ADR is $23 below comp set average despite higher occupancy - you have pricing power you're not using. 2) Sunday occupancy is 12 points below Saturday - consider Sunday-stay packages. 3) Your RGI of 1.08 shows you're capturing fair share, but your ARI of 0.94 means you're underpricing. [Generates charts showing trends]"

Why ChatGPT wins: Actually processes the file, runs calculations, identifies specific numerical opportunities, and can create visualizations.

Building Custom AI Assistants

The real power of AI comes when you create specialized assistants your whole team can use. Here's how to do it on each platform:

ChatGPT: Custom GPTs

       What it is: Create a specialized assistant with custom instructions, knowledge files, and capabilities

       How to access: ChatGPT Plus or Team > Explore GPTs > Create

       Can upload: PDFs, documents, spreadsheets that become the GPT's knowledge base

       Share with: Anyone with link, or just your team (Team plan)

Hotel Example: Create a "Guest Recovery Specialist" GPT. Upload your service recovery guidelines, compensation matrix, and brand voice examples. Any front desk agent can use it to draft appropriate responses.

Claude: Projects

       What it is: Organize conversations and files around specific topics with persistent context

       How to access: Claude Pro > Projects (left sidebar)

       Can upload: Documents, images, code files that Claude references automatically

       Share with: Team members (Team plan)

Hotel Example: Create an "Owner Reporting" project. Upload your budget, prior month P&Ls, and brand report templates. Claude remembers context between sessions for consistent reporting.

Gemini: Gems

       What it is: Custom AI experts with specific instructions and personality

       How to access: Gemini Advanced > Gem Manager

       Integrates with: Google Drive, Gmail, Calendar automatically

Hotel Example: Create a "Revenue Analyst" Gem. Give it instructions to analyze data like a revenue manager, integrate with your Google Sheets for automatic access to reports.

Custom Assistant Ideas for Hotels

1.    Guest Recovery Specialist: Trained on your service recovery standards and compensation guidelines

2.    Brand Standards Expert: Upload your brand's operations manual - instant answers to brand compliance questions

3.    HR Policy Assistant: Trained on employee handbook - helps managers with policy questions

4.    Sales RFP Writer: Upload past winning proposals - helps create customized responses

5.    Revenue Strategy Advisor: Trained on your market, comp set, and pricing philosophy

ROI & Time Savings Framework

AI tools cost $20-50/month. Here's how to quantify the return on that investment:

Time Savings by Task

Task

Without AI

With AI

Time Saved

Guest complaint response

15-20 min

3-5 min

~15 min each

Weekly owner report narrative

2-3 hours

30-45 min

~2 hours/week

Job description draft

45-60 min

10-15 min

~45 min each

STR report analysis

45-60 min

15-20 min

~40 min each

Staff meeting agenda

20-30 min

5-10 min

~20 min each

RFP response draft

3-4 hours

45-60 min

~3 hours each

Calculating Your ROI

Use this formula to calculate your personal ROI:

Monthly Time Saved (hours) × Your Hourly Value = Monthly Benefit

Monthly Benefit - Monthly AI Cost ($20-50) = Net Monthly ROI

Example: A GM who saves 8 hours/month, with an effective hourly rate of $75:

       8 hours × $75 = $600 monthly benefit

       $600 - $40 (two AI subscriptions) = $560 net monthly ROI

       That's a 14x return on investment 

Case Studies: AI in Action

Real examples of how hotel professionals are using AI tools (details anonymized):

Case Study 1: Upscale Select-Service GM

Property: 180-room upscale select-service, major brand, Southwest US

AI Stack: Claude Pro ($20/mo) + Perplexity Free

Primary Uses:

       Weekly owner report narratives (Claude) - 3 hours saved weekly

       Guest complaint responses (Claude) - 30 minutes saved daily

       Competitive rate research (Perplexity) - 2 hours saved weekly

Estimated Monthly Time Savings: 28+ hours

Case Study 2: Full-Service Director of Sales

Property: 350-room full-service with 25,000 sq ft meeting space

AI Stack: ChatGPT Plus ($20/mo) + Perplexity Pro ($20/mo)

Primary Uses:

       Custom GPT for RFP responses trained on past winning proposals

       Research on corporate accounts before sales calls (Perplexity)

       Creating personalized sales presentations (ChatGPT)

Result: RFP response time cut from 4 hours to 45 minutes average

Case Study 3: Multi-Property Revenue Manager

Portfolio: 12 limited-service properties across 3 markets

AI Stack: ChatGPT Plus ($20/mo) + Claude Free

Primary Uses:

       Uploading STR reports for automated analysis (ChatGPT Code Interpreter)

       Creating market summaries for ownership (Claude)

       Drafting rate strategy memos (Claude)

Result: Analysis time reduced 60%; now completes portfolio review in one day vs. three

Cheers, Sloan

 

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