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Carlos E. Perez

Carlos E. Perez

LinkedIn Content Strategy & Writing Style

Author The Deep Learning Playbook, Artificial Intuition, Artificial Fluency & Artificial Empathy, A Pattern Language for Generative AI, Long Reasoning AI & Agentic AI

United States
10 Viral ScoreView on LinkedIn

1 person tracking this creator on ViralBrain

Warm Analysis

Carlos E. Perez positions himself as a high-level architect of the machine intelligence era, moving beyond technical implementation to define the cognitive frameworks of Artificial Intuition and Empathy. His content strategy centers on translating frontier research from labs like Google and Anthropic into actionable enterprise behaviors, focusing heavily on the "AI efficiency dividend" and the navigation of the singularity. He is notable for his ability to bridge the gap between abstract AGI safety concepts and the practical blueprint for agentic AI, making him a rare voice that is both philosophical and operational. This intersection of deep technical authorship and strategic enterprise foresight allows him to challenge leaders on whether they are "doing AI wrong" while providing the pattern languages necessary to fix it.

Performance Overview

Followers

4.6K

Connections

1.8K

Avg. Engagement

4

Engagement Rate

Posts/Week

7.7

Viral Score

10

Posts Analyzed

1

Top Posts by Engagement

Learn about Anthropic's AntFooding Product Development method

9215 viral
AI10 months ago
View on LinkedIn

New paper from Google MIT

5013 viral
Research10 months ago
View on LinkedIn

7 Behaviors of Top Performing Enterprises at the AI Frontier

LinkedIn post image: 7 Behaviors of Top Performing Enterprises at the AI Frontier
4113 viral
AI10 months ago
View on LinkedIn

Are you doing AI wrong?

4013 viral
AI10 months ago
View on LinkedIn

How to navigate the AI singularity

3113 viral
AI10 months ago
View on LinkedIn

The Global AI Race according to Demis Hassabis Source: https://lnkd.in/e3yxNZDN

LinkedIn post image: The Global AI Race according to Demis Hassabis
4001 viral
AI10 months ago
View on LinkedIn

Posting Patterns & Frequency

7.7 posts/week

Posts / Week

1 days

Days Between Posts

1

Total Posts Analyzed

HIGH

Posting Frequency

Timezone: UTC

Best Performing Days

TuesdayThursdayFriday

Best Performing Times To Post

Late morning (approximately 09:30–11:30 UTC)

Topics & Content Focus

Primary Topics

Enterprise AI leadership and operating behaviorsFrontier AI trajectory and singularity thinkingApplied AI strategy at the organizational frontier

Secondary Themes

Curation of cutting-edge AI research from big labsExecutive decision-making under AI-driven disruptionIn-person networking and conference-based community building

Industry Focus

Enterprise and large-organization AI adoptionTechnology and innovation leadershipAI strategy for B2B and institutional contexts

Content Categories

Strategic thought-leadership headlines (how-to, behaviors, frontier framing)Research and paper amplification from major AI institutionsEvent presence and meetup invitationsReflective prompts about organizational readiness for AI

Performance Insights

4.3%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Curation and amplification of frontier AI research from major labsFrameworks describing how top enterprises behave at the AI frontierMacro-level navigation of the AI singularity and long-term implications

Virality Signals

Shares concentrate on posts that signal authority via institutions (Google, MIT) or structured frameworksLikes and comments cluster around posts that promise practical enterprise behaviors at the AI frontierNetworking-only posts without explicit value or insight underperform relative to research and strategy content

Structure & Quality

9

Avg Length (Words)

MEDIUM

Depth Level

ADVANCED

Expertise Level

0.6/10

Uniqueness Score

Common Hooks

Instructional 'How to…' framing around big, abstract AI questionsList-based authority hooks (e.g., numbered behaviors of top performers)Novelty/credibility hooks referencing new work from elite institutions

Common Endings

Open reflective questions about the reader’s current behavior or adoptionDirect invitations to connect or meet in personBare headline statements with no added context or explanation

Value Delivery Methods

Signals depth through topic choice (singularity, enterprise frontier behaviors) while keeping surface-level copy shortDelivers value primarily as direction-setting headlines and mental models rather than detailed how-to guidanceUses curated references (papers, conferences) as proxies for expertise and further exploration

Formatting Style

Ultra-concise, one-line or single-sentence postsText-only, no emojis, no hashtags, no formatting flourishesHeadline-style writing with minimal elaboration or body copy

Audience & Tone

YES

Question Usage

0.4%

Response Rate

Detected Tone

Concise, headline-driven strategistFuturist with an enterprise-operator lensAuthority-adjacent curator of elite AI researchsemi-formalsecond-person

Interaction Style

Audience responds more to intellectually substantial, future-oriented AI topics than to logistical updatesComments appear on posts that frame AI as a strategic enterprise challenge rather than a personal noteShares indicate that followers use the content as social proof or reference material within their own networks

Community Building Signals

Attempts to convert online interest into in-person connections via conference meetups and DMsUses questions to prompt self-reflection about AI adoption rather than to open long back-and-forth threadsPositions the creator as a node in a professional AI strategy community rather than a mass audience influencer

Writing Style Patterns

Content Strategy

Hook: Instructional 'How to…' framing around big, abstract AI quesTone: semi-formalCTA: Self-assessment prompts for enterprises and practi

Writing style breakdown

Core characteristics

Overall tone: concise, professional, and minimalist.

Voice is neutral and informational, with almost no emotional language.

Style leans corporate/academic-tech (AI, conferences, enterprises, AGI, Demis Hassabis, Google MIT, Anthropic).

The writing is highly compressed: each post is essentially a title, headline, or micro-announcement.

No storytelling, no descriptive flourishes, no metaphors, no humor, no rhetorical ornamentation.

Formality

Formally professional, but not stiff. It reads like LinkedIn or conference/academic-adjacent social media updates.

No slang, no contractions in the samples (e.g., “I will be attending,” not “I’ll be attending”).

Lexicon is business/tech: “Top Performing Enterprises,” “AI Frontier,” “efficiency dividend,” “Product Development method.”

Structure and method

Very structured and minimal. Posts are usually one standalone line, sometimes two.

Each post is a single idea: a headline, a question, or a short announcement.

The writing is more like labels or titles than fully developed text.

Emotional tone and energy

Low to medium energy. Calm, matter-of-fact, not hype-driven.

No exclamation marks. No overt enthusiasm words like “excited,” “thrilled,” etc.

Emotional distance: content is positioned as informational or question-based, not emotionally expressive.

Signature traits

Heavy use of short, punchy, self-contained headlines.

- Frequent use of questions as standalone posts

How to navigate the AI singularity
Have you adopted these behaviors?
Are you doing AI wrong?

Preference for broad, intriguing topic framings instead of detailed exposition.

Occasional very minimal CTA (e.g., “DM me if you’ll be around for a meetup.”).

Addressing the reader

Mostly impersonal and third-person / topic-focused (e.g., “7 Behaviors of Top Performing Enterprises at the AI Frontier”).

When addressing the reader directly, it uses second-person “you” in questions that challenge or prompt self-reflection:

Have you adopted these behaviors?
Are you doing AI wrong?

- First-person appears only when necessary for a personal update

I will be attending the IAESEAI conference in Paris this coming February.

- Commands are soft and minimal; explicit directives only appear once

DM me if you’ll be around for a meetup.

No “Try this,” “Do this,” or instructional imperative forms in the sample. Interaction is mostly via questions, not commands.

2. STRUCTURAL FLOW & LOGICAL PROGRESSION
3. SPACING, LINE BREAKS & VISUAL FLOW
4. SENTENCE CONSTRUCTION & PACING

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