01 · SurfSense
Infrastructure — "we stop being data couriers"
Configuring connectors to Jira, Slack, Confluence and Notion.
SurfSense · LLM Wiki · Documentation · Automation
AI-native documents and reporting for developers
LLM Wiki + SurfSense: a corporate knowledge base that assembles and updates itself automatically.
3 blocksSurfSense + LLM WikiDevelopers / PMs / Tech leads
Our clients
Clients and partners
The Problem
"How am I supposed to cram 1000 tickets into a prompt?"
- Manual data copy-paste
- Documentation goes stale instantly
- Knowledge is scattered across systems
- Non-technical users fear losing control
What you get
Key Takeaways
- Set up SurfSense as a corporate data gateway
- Deploy the SurfSense (Extraction) → LLM Wiki (Synthesis) pipeline
- Build the structure of the Wiki repository
- Learn to write synthesizer prompts
- Automate the "evening update" of the knowledge base
- Set up a knowledge graph in Obsidian / Notion
- Ensure data security and control over IP
- Master the methodology for auditing an automated Wiki
Program
Workshop Program
02 · Karpathy's TRD + Claude / OpenClaw
Memory architecture
A prompt turns the data stream into structured Markdown files.
03 · Obsidian / Notion
Visualization and search
Checking links: a Jira task ↔ a director's contact in the Wiki.
How it works
How it works
1Delta collection
2Synthesis
3Morning query
More
Other Workshops
Mission 01
Accelerating development of large projects with AI
How to stop drowning in legacy and start delivering value faster.
Mission 02
Accelerating the entire development cycle (Time-To-Use) with AI
From "AI as a chatbot" to "AI as an engineering accelerator" — integrating AI into the TTU methodology.
Mission 03
A personal AI assistant with OpenClaw
From zero to a digital worker in 2 hours — self-hosted, multichannel, zero routine.
Discuss the AI workshop
Let's learn
Choose a workshop and come with a real process
First we solve the practical task, then we show how it was assembled so the team can repeat the approach safely and independently.
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