LinkedIn Content Strategy & Writing Style
Author: The Profitable AI Advantage. Created profits with AI from enterprise giants to 20-person teams.
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Tobias Zwingmann positions himself as a pragmatic AI implementation strategist who bridges the gap between high-level corporate vision and the "messy" reality of everyday business data. His content strategy centers on the transition from "Productivity AI" to "Engineered AI," moving away from flashy, autonomous agent hype toward reliable, high-ROI workflows using accessible tools like Excel and CustomGPTs. He is notable for his radical realism, often warning that speed without governance is a liability while providing the specific technical guardrails - like his "Tidy Data" frameworks - to prevent it. By operating at the intersection of technical data science and executive change management, Zwingmann transforms AI from a speculative experiment into a profitable, boring, and highly effective "purple sedan" that actually ships to production.
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Microsoft just launched Copilot Cowork – built with Anthropic. These are AI agents that run multi-step tasks across your entire M365 stack. What you see here is a shiny demo obviously. But it shows on…
Pitching the flying car feels good for the ego. You get to talk about fully autonomous agents and all. The bright AI future. But then reality sets in. The first prototype kind of works. The prod…
GPT-5.4 launched two weeks ago. First thing I did wasn't build an agent. I updated a boring tool that even OpenAI stopped talking about. CustomGPTs. While everyone moved on to talk about agents, MCP…
McKinsey's internal AI chatbot got hacked this week. Not by a nation state or a team of elite hackers. It was a single AI agent that took two hours to exploit a security issue that's been known since…
The Limits of Productivity AI It won’t transform your business. Make sure it doesn’t break anything – and you’ve already done a great job. New article:
Running another round of my popular ChatGPT for Data Analytics Bootcamp with O'Reilly next week. With the recent ChatGPT for Excel release, this couldn't come at a better time. Join me to learn: - LL…
5.7 posts/week
Posts / Week
1.4 days
Days Between Posts
1
Total Posts Analyzed
HIGH
Posting Frequency
66%
Avg Engagement Rate
STABLE
Performance Trend
1200
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.82/10
Uniqueness Score
YES
Question Usage
0.3%
Response Rate
Writing style breakdown
<start of post>
I spent yesterday looking at a "perfect" AI agent demo. It handled emails, booked meetings, and updated the CRM without a single error.
The audience was mesmerized.
What happens when the customer sends a screenshot of a messy Excel file instead of a text request?
Silence.
The models are Ferraris. But most corporate data is a dirt road full of potholes.
You can have the fastest car in the world. If the road is broken, you are still going to crash.
I see this mistake every week.
Companies spend $200k on "Agentic Workflows" before they spend $5k on cleaning their data headers.
It is the "Flying Car" problem again.
We want the magic. We ignore the plumbing.
If you want AI that actually works in production, stop looking at the shiny demos.
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