LinkedIn Content Strategy & Writing Style
Founder of Slite
1 person tracking this creator on ViralBrain
Christophe Pasquier positions himself as a tenacious, product-led founder who has transitioned from a traditional SaaS builder to a visionary leader in the "company brain" category. His content strategy centers on the technical and operational friction of knowledge management, specifically how AI agents fail when fed stale data. He provides high-utility value by sharing tactical prompt engineering and cost-saving architectural advice, such as using MCPs to reduce token waste. What makes him notable is his "slow, stubborn bet" on documentation; while others chase fleeting AI trends, he leverages a decade of domain expertise to solve the specific problem of self-maintaining knowledge bases. His work represents a sophisticated intersection of deep-tech founder transparency and aggressive product evolution, moving Slite from a passive storage tool to an active, autonomous infrastructure layer.
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This is our most ambitious launch in 10 years. Today, we're launching world's first self-maintaining knowledge base 🔥 Documentation is infrastructure for your team and agents, yet it's broken. AI h…
I tried to move to San Francisco to build Slite. Covid and 3 kids stopped me. At the time, I thought it was a mistake. The playbook said go where the money is. Go where the ambition is. I had no choi…
Today we launch a small revolution in our field. The first self-maintaining knowledge base for teams. To put it simply: your documentation, amending itself from all activity in GitHub, Slack, Linear,…
I've been waiting to build this tiny screen for 10 years. It's the agent proposing a change to a doc, and me approving it. The same review your engineers have had for code, finally pointed at everyth…
My team's in a thread right now debating whether we should move everything over to Opus 4.8 And I'm sitting there nodding like I have an opinion, when the truth is I still couldn't tell you what act…
Serving our AI search used to cost $10,000 a month. The last two months it's been $25,000. Nothing broke. People just use it more, and they ask harder questions, and harder questions make the model…
5.0 posts/week
Posts / Week
1
Total Posts Analyzed
HIGH
Posting Frequency
72.7%
Avg Engagement Rate
STABLE
Performance Trend
180
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.85/10
Uniqueness Score
YES
Question Usage
0.8%
Response Rate
Writing style breakdown
<start of post>
I spent the morning looking at our token usage for the new Slite Agent.
It’s eye-opening.
Most people think AI agents are expensive because the models are "smart."
That's only half the story.
The real cost is the "filing cabinet" work.
When you ask an agent a question, it usually spends 80% of its energy just looking for the right folder. It reads the wrong docs, realizes they are outdated, and tries again.
Every time it "tries again," you pay the frontier model tax.
You're essentially paying a genius to do manual data entry.
We decided to fix that.
1/ The agent never reads a "draft" or "outdated" doc
2/ Retrieval happens in milliseconds, not seconds
3/ Your context window stays clean for actual reasoning
The result?
Same quality of work, 60% less token waste.
It’s not about having the biggest model anymore. It’s about having the best memory. If your agent is still reading 50-page PDFs to find one sentence, you're burning money.
Anyway, we're rolling this out to all beta users this week.
If you want to stop paying the "messy data tax," DM me.
PS: I'll be sharing the full benchmark data on Wednesday. Stay tuned 🔥
<end of post>
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