Frequently asked questions
Persistent agents, YARNNN, tasks, integrations, pricing, and how to get started.
General
What is yarnnn?
yarnnn is an autonomous agent platform for recurring knowledge work. You describe your work to YARNNN, create the Agents that do it through conversation, and supervise outputs as they run on cadence with accumulated context.
How is yarnnn different from ChatGPT or Claude?
Chat tools are session-based — they help in the moment but reset when you close the tab. yarnnn is system-based: you have persistent agents with memory that run tasks on schedule, sync context from your work tools, and learn from your feedback over time. The output gets better the longer it runs.
What does "autonomous" mean here?
Tasks run on schedule or by trigger without you re-prompting from zero. Agents pull fresh context, execute the work, and deliver outputs. You review and redirect when needed.
What's the difference between YARNNN, Agents, Specialists, and Platform Bots?
YARNNN is the super-agent you talk to — the product and the conversational layer share a name. Agents are identity-explicit workers you create by chatting with YARNNN, each scoped to a domain of your work (competitors, clients, etc.). Specialists (Researcher, Analyst, Writer, Tracker, Designer, Reporting) are YARNNN's palette — it drafts a Team of Specialists for each task. Platform Bots (Slack, Notion, GitHub) activate on platform connection. Tasks are the work units: objective, cadence, delivery, assignment.
Workforce
Do I create Agents, or do they come pre-built?
You create them. Signup starts you with zero Agents on the /agents page — the team is yours, authored through conversation with YARNNN. YARNNN has a palette of six Specialist roles (Researcher, Analyst, Writer, Tracker, Designer, Reporting) it draws from when drafting a Team for each task. Platform Bots (Slack, Notion, GitHub) activate on platform connection. The authored-team model means the switching cost compounds from your first Agent.
How do I build my team?
Describe your work to YARNNN. Say "I want to track these competitors" or "I need a weekly stakeholder brief" and YARNNN infers the Agent that emerges, confirms with you, and creates it. Each Agent has its own identity, memory, and accumulated domain context. Over time the team grows as more work intents surface.
How do agents improve over time?
Every task run, review, and edit becomes signal for future work. Agents learn your preferred structure, emphasis, and tone. They also accumulate domain knowledge — understanding your team, competitive landscape, and communication patterns more deeply with each cycle.
Can multiple agents work together on a task?
Yes. Most tasks use one agent. For bigger jobs, multiple specialists contribute to a single task. For example, Slack Bot can keep internal context fresh, Researcher can add external signals, and Reporting can synthesize one deliverable.
How do I steer the system?
YARNNN is the main control surface. Use it to create work, change priorities, refine objectives, and ask why something ran. The Work and Agents surfaces let you inspect outputs, history, and the specialists involved.
Tasks
What kinds of tasks can I assign?
Common tasks include: weekly team recaps from Slack, competitor intelligence briefs, status reports as PDF, Notion page summaries, research deep dives, meeting prep briefs, and cross-platform synthesis reports. Tasks can produce plain text, email, PDFs, slides (PPTX), spreadsheets (XLSX), and charts.
What are the different task modes?
Three modes: Recurring (runs on a cadence indefinitely — daily, weekly, monthly), Goal (bounded, runs until success criteria are met), and Reactive (on-demand or event-triggered, like a meeting prep brief you request before a specific meeting).
How do I create a task?
Describe what you need in plain language — for example, "Give me a weekly competitor brief" or "Summarize #engineering every Friday as a PDF." YARNNN creates the task definition, assigns the right agent or process, sets the cadence, and starts executing.
Platforms & Data
Which platforms does yarnnn connect to?
Slack and Notion are the main public integrations today, with GitHub also represented in the scaffolded workforce model. You authorize via OAuth and choose which sources to include, or let yarnnn start with sensible defaults.
Do I need to connect a platform to start?
No. Your agents can work with web research and documents alone. Platform connections enrich context but aren't required. You can connect Slack or Notion anytime and your agents will immediately start benefiting from the synced data.
Is my data safe?
Yes. Data is encrypted in transit and at rest. OAuth tokens are encrypted. Access is user-scoped. yarnnn reads from your tools — it does not post, edit, or modify anything in them. You can change source selections or disconnect any integration at any time.
Pricing & Plans
What plans are available?
yarnnn has Free and Pro plans. Both include the scaffolded workforce, YARNNN, and platform integrations. Free gives you 2 active tasks, 20 work credits/month, 150 messages/month, and daily sync. Pro gives you 10 active tasks, 500 work credits/month, unlimited messages, hourly sync, and unlimited sources — $19/mo (Early Bird: $9/mo).
What does "active tasks" mean?
Tasks are the recurring work contracts the system keeps alive at once. Your scaffolded workforce is still there, but the tier determines how many active loops you can keep running simultaneously.
What are work credits?
Work credits meter autonomous execution and rendering. They are separate from messages with YARNNN. Free includes 20 credits/month, Pro includes 500.
How does sync frequency differ by plan?
Free: once daily. Pro: hourly. Faster sync means agents work with fresher context from your connected platforms.
Getting Started
How do I get started?
Sign up, connect context if you want it, and describe the first recurring task. YARNNN turns that into a standing loop and the rest of the system starts compounding from there.
What's the best first task?
A weekly team recap or stakeholder brief is usually the fastest way to see value. It creates an obvious review loop, gives YARNNN something concrete to refine, and quickly shows whether the system is grounding itself well.
How quickly do I see results?
Your first task output is typically ready within minutes. From there, quality improves with every cycle as agents accumulate context and learn from your feedback.
Still have questions?
Start with one recurring task and let the system show you how it compounds.