LinkedIn Content Strategy & Writing Style
Building high-agency AI-augmented teams for leaders | AI Generalist | Head of Oracle Cloud & Oracle AI @Vivicta
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Andrejs Karpovs positions himself as a high-agency AI Generalist who bridges the gap between academic research and enterprise implementation. His content strategy centers on translating complex technical developments - such as long-term LLM memory architectures and security vulnerabilities - into actionable frameworks for leaders building AI-augmented teams. He is notable for his pragmatic skepticism, often debunking industry hype with rigorous security warnings and research-backed insights rather than generic optimism. By intersecting deep technical literacy with organizational leadership, Andrejs provides a rare value proposition: he helps builders navigate the "commoditized middle" by focusing on judgment, taste, and the Socratic application of AI tools.
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Claude Cowork is amazing. If you enjoy watching your files get leaked. And If someone tells you: “You’re missing out if you’re not using Claude Cowork” They’re right. You’re missing out on bugs, ex…
One of the most powerful ChatGPT features no one talks about (once you use it, you’ll never go back): It’s called “study and learn” mode. (link in the comments) It doesn't give you all the answers.…
December was packed with AI research. I’ve summarized 10 key papers you should read: (check attached slides for more details) 1. AI teams ≠ always better -) Agent teams help only when tasks a…
If you’re building with agents or LLMs… You’ll want to keep this saved. LLM memory still fails. No matter how smart the model is. So here's the ultimate guide to address that. → A full map of lon…
What Zach calls an “extreme T-shaped professional” is basically what I mean when I say AI Generalist (or what I call: "GenAIralist"). I agree with the core idea: the moat in AI era increasingly comes…
There are now more AI opinions than AI models. And most of them are fine-tuned on ego. Let me break it down: We’ve got: The Doomers: “AGI is coming. We’re all cooked. Might as well unplug your GPU…
1.9 posts/week
Posts / Week
4.4 days
Days Between Posts
1
Total Posts Analyzed
MEDIUM
Posting Frequency
35.16666666666666%
Avg Engagement Rate
STABLE
Performance Trend
190
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.78/10
Uniqueness Score
YES
Question Usage
0.6%
Response Rate
Writing style breakdown
<start of post>
Most people use AI like a vending machine.
Type prompt.
Get output.
Move on.
That’s fine.
But if you’re building anything serious with LLMs…
this one habit will save you weeks.
It’s called a ‘prompt journal’.
(no, it’s not another productivity gimmick)
-) what you asked
-) what the model answered
-) what actually worked
-) what failed (and why)
-) the final version you shipped
When an LLM fails, it fails in patterns.
Same blind spots.
Same missing assumptions.
Same “sounds right” hallucinations.
And if you don’t write those down…
you’ll debug the same thing again next week.
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