LinkedIn Content Strategy & Writing Style
Head of AI in marketing, growth & strategy at Sprints and Sneakers
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Sharif positions himself as a pragmatic bridge between high-concept artificial intelligence and rigorous growth engineering. His content strategy centers on demystifying the "AI hype" by applying established growth frameworks, such as the ICE model, to prioritize technical implementation based on measurable financial impact rather than intuition. He is notable for his ability to synthesize global tech developments—ranging from Anthropic’s ethical constitutions to Chinese humanoid robotics—into actionable insights for the Dutch agency landscape. The most compelling intersection in his work is the productization of AI services, where he blends his seven-year tenure in growth strategy with a transparent, "build-in-public" approach to organizational transformation and ethical AI adoption.
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Last week marked my 7th anniversary at Sprints & Sneakers - which is almost a quarter of my life. Crazy! Yet I still have the chance to keep growing and working on cool projects. Last week I led thre…
MiroFish simulates the real world before it happens. Built by a Chinese engineer (Guo, aka “Baifu”), it’s an AI swarm engine that lets hundreds of agents behave like real buyers before you launch any…
Today we are hosting our first Growth Talk event of the year with interactive sessions and talks about seo/geo and multi agent orchestration. If you werent able to come - We host live sessions every l…
Did you know? In early 2026, scientists introduced AlphaGenome which is an AI model that can read huge sections of human DNA and predict which mutations may lead to diseases like cancer, heart diseas…
A Chinese company, Unipath, has launched a household robot that is ready for mass production. The humanoid robot, called Wanda, is designed to operate in real-world environments by combining AI with p…
Did you know that Anthropic has created an entire constitution to build a moral framework for Claude? Under the guidance of philosopher Amanda Askell, ethical values and answers to complex moral ques…
1.7 posts/week
Posts / Week
4.5 days
Days Between Posts
1
Total Posts Analyzed
MEDIUM
Posting Frequency
19.5%
Avg Engagement Rate
STABLE
Performance Trend
260
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.78/10
Uniqueness Score
YES
Question Usage
0.2%
Response Rate
Writing style breakdown
<start of post>
Most people think AI implementation is about the technology. It’s not.
It’s actually about the boring stuff: process mapping, data readiness, and cultural alignment. I see companies rushing to buy the latest LLM licenses without knowing what problem they are actually trying to solve.
We recently audited a workflow for a partner that was "broken."
They thought they needed a custom agent.
Turns out, they just needed a better way to structure their inputs.
Map the current manual steps (every single one)
Identify where the bottleneck is (usually human-in-the-loop delays)
Automate the repetitive 80%, keep the creative 20%
The result? A 40% reduction in lead time without writing a single line of custom code. Sometimes the best AI strategy is knowing when not to build.
What’s the biggest bottleneck in your current workflow?
<end of post>
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