TetherLog
Your company knows more than it has documented.
TetherLog captures knowledge from AI chats, meetings, and employee interviews, makes it searchable, and turns it into SOPs, onboarding docs, and process maps.
Works with the tools you already use
Claude
ChatGPT
Cursor
Gemini
Snowflake AI
+ MCP
Zoom
Google Meet
Slack
Teams
Granola
Fathom
and more
Capture
AI chatsClaude, Cursor, ChatGPT
MeetingsNotes and recordings
AI knowledge interviewsAn AI interviewer that fills documentation gaps
TetherLog
One searchable place, organized for people and agents
Role-based accessGet
SOPs
Workflow tutorials
Onboarding docs
Process maps
Why teams need this
When context is scattered, work stalls and nothing compounds.
Knowledge doesn't walk out the door
When someone leaves, what they knew is already captured, not gone with them.
Right info at the point of decision
Answers show up when a decision gets made, not after a hunt across threads and lost sessions.
Identify bottlenecks
See where work repeats and stalls, so you know where to unblock your team.
AI assistants + connectors vs. TetherLog
AI assistants + connectors
For example, Claude Code or ChatGPT with connected tools
- Context is assembled separately for each user and conversation.
- Connected sources are queried on demand.
- Knowledge remains distributed across the original tools.
- Employees must know what to search for.
TetherLog
- One governed knowledge layer for the whole team.
- Knowledge from approved sources is persistently captured and searchable.
- Missing context is proactively identified and collected.
- Outputs become reusable SOPs, onboarding docs and process maps.