Simple is not easy

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
0manual copy-paste
24/7Wiki update
set it and forget it
IPcontrol over data

The Problem

"How am I supposed to cram 1000 tickets into a prompt?"

What you get

Key Takeaways

  1. Set up SurfSense as a corporate data gateway
  2. Deploy the SurfSense (Extraction) → LLM Wiki (Synthesis) pipeline
  3. Build the structure of the Wiki repository
  4. Learn to write synthesizer prompts
  5. Automate the "evening update" of the knowledge base
  6. Set up a knowledge graph in Obsidian / Notion
  7. Ensure data security and control over IP
  8. Master the methodology for auditing an automated Wiki

Program

Workshop Program

01 · SurfSense

Infrastructure — "we stop being data couriers"

Configuring connectors to Jira, Slack, Confluence and Notion.

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

Contacts

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