Creating Expert Commentary Posts with AI

Expert commentary allows you to share your unique perspective on industry developments, news, and trends. These posts establish your authority and provide valuable context to your audience.

This prompt has been tested and works effectively with leading AI models including ChatGPT, Claude, and Gemini. You can expect consistent results across these LLMs, with each potentially offering slightly different stylistic variations.

Core Prompt Template #

Create an expert commentary post about {TOPIC/NEWS} from my perspective as {YOUR_ROLE}. The commentary should provide valuable insights for {TARGET_AUDIENCE}.

Structure to include:
1. Opening context of the situation/news
2. My expert perspective on:
   - What this means for the industry
   - Hidden implications or overlooked aspects
   - Common misconceptions to address
3. Analysis of {NUMBER} key implications:
   - Immediate impact
   - Long-term consequences
   - Strategic considerations
4. Actionable takeaways for {TARGET_AUDIENCE}

Style: {TONE} and insightful
Length: {LENGTH}

Additional context: {EXPERTISE_CONTEXT}

How to Use This Prompt #

Required Variables #

  • {TOPIC/NEWS}: Specific event, trend, or development to comment on
  • {YOUR_ROLE}: Your professional position and relevant background
  • {TARGET_AUDIENCE}: Who needs these insights
  • {NUMBER}: Number of key points (2-4 recommended)
  • {TONE}: Authoritative, analytical, or educational
  • {LENGTH}: Recommended 300-600 words
  • {EXPERTISE_CONTEXT}: Your specific experience related to the topic

Example Inputs #

{
  TOPIC/NEWS: "Recent AWS outage impact",
  YOUR_ROLE: "Cloud Infrastructure Architect",
  TARGET_AUDIENCE: "Tech leaders and CTOs",
  NUMBER: "3",
  TONE: "analytical",
  LENGTH: "400 words",
  EXPERTISE_CONTEXT: "20 years in cloud architecture, managed 100+ cloud migrations"
}

Variations #

News Analysis Version #

[Base prompt] + Frame this as a news analysis with:
- Recent development summary
- Historical context
- Expert interpretation
- Future implications
- Industry guidance

LinkedIn Perspective Post #

[Base prompt] + Structure as a LinkedIn post with:
- Attention-grabbing opener
- Clear stance
- Supporting points
- Industry implications
- Call for discussion
Maximum 1300 characters

Professional Blog Version #

[Base prompt] + Format as a blog post including:
- Executive summary
- Detailed analysis
- Industry examples
- Best practices
- Recommendations

Tips for Best Results #

Do's #

  • Ground commentary in expertise
  • Provide unique insights
  • Support claims with evidence
  • Offer practical takeaways
  • Address potential counterpoints

Don'ts #

  • Avoid pure speculation
  • Don't make unsupported claims
  • Skip obvious observations
  • Avoid overly technical jargon

Example Output #

Here's a sample output using the LinkedIn post format:

☁️ AWS Outage: What Tech Leaders Need to Know

After 20 years in cloud architecture and 100+ migrations, here's my take on yesterday's AWS outage:

3 Critical Implications:

1. Multi-Region Strategy Validation
Not just theory anymore. Companies with cross-region architectures saw 70% less downtime.
Key learning: Single-region savings aren't worth the risk.

2. Serverless Impact
Interesting twist: Serverless architectures were hit hardest.
Why? Limited failover options compared to EC2-based setups.

3. SLA Reality Check
AWS's 99.99% uptime means 52 minutes downtime/year.
Question: Is your architecture ready for these "expected" outages?

CTOs: Time to review your cloud resilience strategy.

Controversial take: Multi-cloud isn't the answer - better regional distribution is.

Thoughts? What's your availability strategy? 👇

#CloudComputing #TechLeadership #AWS
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