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 architect of AI transformation for growth marketing, bridging the gap between high-level tech hype and boots-on-the-ground implementation. His content strategy centers on a "build in public" philosophy that balances technical news curation with high-utility resources like Figma canvases and SDR intelligence demos. What makes Sharif notable is his refreshing commitment to authenticity, evidenced by his pivot from "AI-first" to "AI-assisted" creation to preserve his personal voice. This intersection of high-growth consulting and radical transparency allows him to critique industry trends, such as the limitations of Claude Code in corporate governance, while remaining a credible leader in the B2B space.
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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…
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…
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…
In the past, at sprints & sneakers, we have always been able to adapt our business models to the context of our market and the needs of our partners. As an agency, we continuously test where our next…
Within our journey to productize growth services, I've done some research to find out what the highest performing AI startups have in common and what we can learn from them.
2.5 posts/week
Posts / Week
11
Total Posts Analyzed
MEDIUM
Posting Frequency
15.8%
Avg Engagement Rate
STABLE
Performance Trend
650
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
8/10
Uniqueness Score
YES
Question Usage
0.8%
Response Rate
Writing style breakdown
<start of post>
The "AI will replace humans" narrative is finally shifting toward "AI will augment experts."
I’ve spent the last month auditing our internal workflows, and the results were surprising. We didn't save time by replacing people; we saved time by removing the friction between thinking and doing.
We use a mix of Claude, Make, and custom scripts to handle the heavy lifting, but the 'soul' of the work still requires a human in the loop. If you remove the human, you remove the nuance.
Strategy & Logic: Human-led, AI-supported
Data Processing: AI-led, Human-verified
Content Distribution: Automated via Make/n8n
Quality Control: Strictly Human
I’m curious—are you seeing a measurable ROI from full automation, or are you finding that a hybrid approach works better in production?
See our full framework here 👇
https://lnkd.in/e-example
<end of post>
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