Nick Saraev's AI Agent Workflow: Linear + Webhooks + Fable 5

Key Takeaways

• Start with a shared human+AI workspace. The shape matters more than the tool. He uses Linear with statuses that denote pipeline position: inbox → next → doing → waiting → done, so any task's state (and how it was completed) is legible to both people and agents.
• Hand tasks to agents, not just people. Write the task, describe what you want in plain language, tag it "AI ready," then drag it to "next" — which fires a request to a server where the agent lives.
• The agent runs a real loop. His "Nick OS" run assesses the card, posts a plan, then executes — consulting a knowledge base for how prior tasks were done and his stated preferences before writing anything.
• Fable 5 gets three inputs. Workspace context (files, other tasks, the content pipeline), a separate text knowledge base it can draw on, and the task itself.
• Human-in-the-loop by design. For anything outward-facing — publishing, posting to a profile, touching the wider internet — the agent pauses for approval. You act as the project manager over a queue rather than babysitting each step.