
LinkedIn Content Strategy & Writing Style
Founder & CMO at Tinct AI | ABM & CRO | Growth & Marketing Advisor
1 person tracking this creator on Viral Brain
Jean Bonnenfant positions himself as a high-signal bridge between technical AI breakthroughs and practical B2B growth strategy. His content strategy centers on demystifying AI agentic workflows, moving past the hype of "chatbots" to analyze the tangible impact of LLMs on engineering and marketing automation. He distinguishes himself by blending a founder's cynicism toward "software is dead" rhetoric with a deep, technical appreciation for model benchmarks and deployment. This creates a unique intersection of ABM expertise and technical product analysis, where he translates complex fundraising and model releases into actionable insights for the modern CMO.
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Your entire LinkedIn feed is living in a bubble. Every post is about AI. Every founder has an AI strategy. Every marketer is "leveraging AI at scale." You'd think the whole world has moved on to the…

Last week, the entire Tinct team met in Paris for the first time 🇫🇷 5 people. 2 countries. 1 day at the happn offices (merci Antony for the beautiful space, perks of your co-founder scaling a 100M-…

Apparently one of the top 3 marketers in Benelux SaaS. My mom would agree. Not sure about the rest of you. Marketing is one of those fields where everyone has an opinion and nobody agrees on anything…

LinkedIn Ads deliver 121% ROAS. Facebook? 51%. Google? 67%. And yet half the B2B marketers I talk to are still treating LinkedIn as "too expensive" while dumping budget into Google Search that's get…
I've been testing a bunch of AI builders lately. Some do workflows well. Some do front-ends well. Very few do both without making you want to throw your laptop. That's been the gap for a while: you…

3.0 posts/week
Posts / Week
2.6 days
Days Between Posts
3
Total Posts Analyzed
MEDIUM
Posting Frequency
310.3%
Avg Engagement Rate
STABLE
Performance Trend
185
Avg Length (Words)
MEDIUM
Depth Level
ADVANCED
Expertise Level
0.85/10
Uniqueness Score
NO
Question Usage
0.6%
Response Rate
Writing style breakdown
<start of post>
The "AI for everything" era is ending. The "AI for one specific, hard thing" era is starting.
Decagon just raised $65M to prove it.
They aren't building a general chatbot. They're building an AI customer support agent that actually works for enterprise-scale problems.
Backed by Bain Capital and Accel. When the big firms move this fast, it's usually because the revenue numbers are already screaming.
Most support bots are just fancy search bars. They find a help article and spit it back at you. If you have a real problem, they break.
Decagon's bet is different. Their agents connect to the actual business logic. They can process refunds, check shipping statuses, and handle complex billing disputes without a human touching the keyboard.
The numbers: They're already handling millions of conversations for companies like Bilt and Substack.
For context, they're claiming to automate 70% of support volume. Not "deflect." Automate. There's a massive difference.
We're moving away from "chatting with data" toward "delegating to agents."
If they're right, the traditional BPO (Business Process Outsourcing) industry is looking at a very different five-year horizon.
Founded in SF. Scaling everywhere.
Worth keeping an eye on.
PS: Their demo video is actually a demo, not a CGI movie. Refreshing. 🧨
PS2: Huge congrats to Jesse Zhang and the whole team.
<end of post>
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