Iwo Szapar's LinkedIn Strategy — Co-Creator…

I stopped writing better prompts. My AI got 10x better anyway. The most important AI skill of 2026 is context engineering. Free guide at the end - keep reading. I wrote a single word to my second br…

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AI Context Engineering3 months ago

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A KPMG partner just got fined A$10,000 for using AI to cheat on... an AI training test. The irony writes itself. <lol> 🤣🤣🤣 KPMG caught 25+ staff members using AI for internal exams this year. Th…

LinkedIn post image: A KPMG partner just got fined A$10,000 for using AI to cheat on... an AI training test. The irony writes itself. <lol> �

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AI Training3 months ago

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You read posts about AI every day. That does not put you in the top tier. 0.04% of humans use AI daily to ship real work. 0.3% pay for any AI tool. The rest are observers. Reading about AI, shar…

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AI Adoption3 months ago

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Message from my wife ❤️ 🤖 coincidence?

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AI3 months ago

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Yesterday I told my AI: "Follow up with my client Alex." Six words. No context. No instructions. It wrote the perfect email. The right tone, the right references, a callback to our conversation la…

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AI Prompting & Context Engineering3 months ago

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I built a tool that grades AI Second Brain setups. It gave my own setup a 76% 😅 Everyone assumes the person who builds the grading tool at least passes their own test. Overall: 80% - Grade A. But…

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AI Knowledge Management3 months ago

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Topics & Content Focus

Primary Topics

Context engineering for persistent, compounding AI (memory, rules, workflows across sessions)Tool-to-system transformation: moving from isolated AI apps to integrated agent stacksOwnership and infrastructure sovereignty: vendor-independent AI that runs on your stackOperationalizing AI adoption: experiments in real work vs passive consumption

Secondary Themes

Second Brain architectures and knowledge management for knowledge workersAI system auditing, health checks, and quality tracking (production-grade readiness)AI subscription economics and behavioral adoption gapsAgentic workflows integrated with CRM/email/calendar/content pipelines

Industry Focus

Knowledge-work productivity and ops for founders, operators, and consultantsB2B sales/CRM workflows enhanced by AI context systemsAI tooling ecosystem (Claude/GPT/Gemini) and developer-adjacent implementation

Content Categories

Contrarian education (debunking prompt/tool obsession)Frameworks and architectures (layers, patterns, systems thinking)Builder proof (open-source tools, health checks, implementation details)Product narrative and offers (guides, links, packaging announcements)Behavior change and adoption psychology (habits, incentives, friction)

Performance Insights

74.3%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Context engineering as the post-prompt era skill (systems that load goals/decisions/tasks automatically)Concrete architectures and patterns (layers, audits, health checks) packaged as a free guide

Virality Signals

Comment-gated resource distribution (drives outsized comment volume)Contrarian hooks that attack default industry advice (prompting/tooling)High specificity frameworks (named layers/patterns) that invite saving and discussionIdentity provocation ("observers vs builders") that triggers rebuttals and self-positioning

Structure & Quality

360

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

88/10

Uniqueness Score

Common Hooks

Contrarian reversal ("I stopped doing X; results improved")Pattern-recognition authority ("After building dozens of X, here's the pattern")Sharp analogy to everyday behavior (gym memberships/subscriptions)Self-incrimination / humility bait ("my own system scored a B")Provocative stat/threshold framing ("almost nobody is actually using AI")

Common Endings

Direct question to force self-reflection and commentsKeyword-based comment trigger for DM delivery (lead capture via engagement)Link to a resource with a narrow qualifier ("If you're paying for >2 tools...")Soft productization teaser with a near-term deadline ("packaging v2.0")

Value Delivery Methods

Actionable system design principles (what to build, not just what to buy)Concrete architectures and components (memory, hooks, MCP, skills)Auditing/measurement mindset (checks, scoring, production-grade criteria)Implementation-adjacent guidance without drowning in code (enough to act, enough to trust)

Formatting Style

Short paragraphs with heavy whitespace for mobile scanningEm-dash and arrow lists (Before/After) to visualize transformationNumbered breakdowns and checklists to signal rigorTooling nouns/acronyms (MCP, hooks, semantic memory) used as credibility anchorsOccasional light humor to keep technical content approachable

Audience & Tone

YES

Question Usage

35.6%

Response Rate

Detected Tone

Smart-casual operatorContrarian systems thinkerBuilder-first (showing tools, audits, installs)Direct-response educator (teaches while selling)High-conviction, anti-fluffsemi-formalfirst-person

Interaction Style

High-participation prompts (keyword comments, reflective questions)Identity-based conversation (builder vs observer framing)Co-creation signals (inviting requirements for an ideal Second Brain)Practical help positioning (DM guide, install/run today)

Community Building Signals

Repeated shared language to create a tribe (tool vs system, own the intelligence, Second Brain)Resource drops that turn comments into opt-in mini-eventsOpen-source offerings that encourage peer sharing and experimentation

Writing Style Patterns

Content Strategy

Hook: Contrarian reversal ("I stopped doing X; results improved")Tone: semi-formalCTA: Comment-to-get resource ("comment CONTEXT")

Writing style breakdown

I used to think the 'perfect prompt' was the holy grail of AI. I was wrong.

After building systems for 81 clients, I realized that prompts are just band-aids for a broken memory.

The problem isn't what you tell the AI.

The problem is what the AI forgets the moment you hit 'Enter.'

Most people spend 20 minutes 'onboarding' their AI every single morning.

They explain their brand voice.

They explain their target audience.

They explain the project goals.

Then they do it again on Tuesday.

And Wednesday.

This is 'Rental Intelligence.' You are paying $20/month to talk to a stranger who has amnesia.

The top 0.04% of users don't do this. They use Context Engineering.

Here is the difference

Prompts: Instructions given in the moment. They are temporary.

Context: The environment the AI lives in. It is permanent.

I moved my entire workflow into a system of structured files.

Now, when I open a chat, the AI already knows my 2024 goals, my preferred sentence structure, and exactly how I handled a similar client last month.

I don't prompt anymore. I just work.

The system compounds. Every session makes the next one smarter.

If you are still copy-pasting the same 'Act as a marketing expert' prompt every day, you are working for the AI.

It should be working for you.

I'm opening 5 spots for my Second Brain audit this week.

We find the 'leaks' in your context and plug them.

Link in the first comment to grab a spot 👇

#contextengineering

Iwo Szapar

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post

Topics & Content Focus

Primary Topics

Secondary Themes

Industry Focus

Content Categories

Performance Insights

Best Performing Topics

Virality Signals

Structure & Quality

Common Hooks

Common Endings

Value Delivery Methods

Formatting Style

Audience & Tone

Detected Tone

Interaction Style

Community Building Signals

Writing Style Patterns

Content Strategy

Here is the difference

Automate your LinkedIn for 30 days

Iwo Szapar

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post

Topics & Content Focus

Primary Topics

Secondary Themes

Industry Focus

Content Categories

Performance Insights

Best Performing Topics

Virality Signals

Structure & Quality

Common Hooks

Common Endings

Value Delivery Methods

Formatting Style

Audience & Tone

Detected Tone

Interaction Style

Community Building Signals

Writing Style Patterns

Content Strategy

Here is the difference

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