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Map goals, agents, tasks and budgets before giving an autonomous team its first assignment.
Paperclip explained: an operating layer for teams of AI agentsPaperclippaperclipai/paperclip
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01 → 09
01·3 min read·Search intent: Learning
Map goals, agents, tasks and budgets before giving an autonomous team its first assignment.
Paperclip explained: an operating layer for teams of AI agentsPaperclippaperclipai/paperclip
→02·3 min read·Search intent: Learning
Try the documented onboarding flow on loopback with a disposable task.
Paperclip quickstart: one company, one agent, one review gatePaperclippaperclipai/paperclip
→03·3 min read·Search intent: Learning
Select the security mode before binding the dashboard to a network.
Deploying Paperclip: local trust and authenticated accessPaperclippaperclipai/paperclip
→04·3 min read·Search intent: Learning
Trace the control path that turns a board task into an agent run.
Paperclip architecture: from issue to heartbeat and receiptPaperclippaperclipai/paperclip
→05·3 min read·Search intent: Learning
Read two services before trusting the governance labels in the UI.
Paperclip source tour: approval and budget decisionsPaperclippaperclipai/paperclip
→06·3 min read·Search intent: Learning
Build a small evaluation that separates agent effort from board overhead.
Measuring Paperclip: throughput, cost and unfinished workPaperclippaperclipai/paperclip
→07·3 min read·Search intent: Learning
Review identity, workspaces, secrets and incident handling together.
Paperclip security and operations: treat agents as workers with accessPaperclippaperclipai/paperclip
→08·3 min read·Search intent: Learning
Choose the coordination layer that matches the actual bottleneck.
Paperclip versus a queue, an agent framework and a task boardPaperclippaperclipai/paperclip
→09·3 min read·Search intent: Learning
Turn the source review into a bounded experiment with stop conditions.
A safe Paperclip pilot: one week from task intake to reviewPaperclippaperclipai/paperclip
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