How It Works
Connect once.
Supervise from there.
yarnnn connects to your work tools and creates agents that run in the background. You supervise their output from a dashboard. Quality compounds with every cycle.
Create agents in plain language
Use the Orchestrator to describe what you need. yarnnn figures out the right agent setup — sources, schedule, and output format.
Create a weekly status update for leadership from #engineering and Notion launch docs.
Great. I'll set up a weekly status agent pulling from #engineering and your Notion docs.
Do you want Monday 9:00 AM delivery and a concise executive format?
Yes. Keep it short and include risks first.
Done. First run will be ready on schedule.
Agent configured successfully.
You can also connect a platform and let yarnnn create your first agent automatically.
What agents can do
Each agent has a job and a schedule. yarnnn matches the right setup to what you need.
Daily or weekly summaries of Slack channels, Gmail labels, or Notion pages. The most common starting point.
Before each meeting, yarnnn pulls relevant context from email, Slack, and docs into a briefing.
Monitor channels or topics for emerging themes. Get alerted when something needs your attention.
Track a topic, competitor, or market. Combines your internal context with web research.
The flow
From definition to compounding output.
Connect your tools
Link Slack, Gmail, Notion, or Calendar. Choose which channels, labels, or pages to include. yarnnn creates your first agent automatically.
Agents run on schedule
Each agent executes in the background and produces output you can review. Your dashboard shows agent health, recent activity, and anything needing attention.
Review and refine
Approve, edit, or redirect. Your feedback teaches the agent your preferred structure, tone, and priorities.
Compound quality
Each cycle makes the agent better. Context deepens, memory accumulates, and supervision effort drops over time.
What accumulates
yarnnn keeps only what matters for better future work.
Preferred structure, tone, and prioritization patterns from approvals
Cross-platform relationships between messages, docs, meetings, and tasks
Domain observations for monitoring and research agents
Execution history that improves future output quality and relevance
Example prompts
Typical ways users create agents.
“Create a weekly digest from #engineering and #product.”
“Make a status update every Friday for leadership.”
“Watch customer-feedback threads and brief me when themes emerge.”
“Research this competitor set and give me a weekly update.”
“Before my exec meetings, generate a prep brief from email + docs.”
“Summarize my week across Slack, Gmail, and Notion every Friday.”
Ready to run autonomous work?
Start with one agent. Scale your system as context and confidence grow.
Start with yarnnn