TaskPrio guides
How to run AI agents on a task queue — the concepts, the setup, and where TaskPrio fits in a human-agent workflow.
Running an AI agent isn't the hard part anymore — the models can already do the work. The hard part is deciding what they work on next, keeping that decision consistent across tools and sessions, and trusting the result. These guides cover that layer: how agentic workflows actually run, and how a shared priority queue keeps a human in control while agents execute.
Three ideas tie them together:
- One global order, not many priorities. Several "P0" labels collapse into ambiguity the moment work starts — a person hesitates and an agent has no deterministic next task. One ranked list makes "what's next" unambiguous for both.
- Agents pull, they don't get pushed. Instead of pasting "do this next" all day, the agent calls
get_next_task, does it, reports a result, and asks for the next — top to bottom, unattended. - The queue spans every tool. Claude Code, Cursor, Windsurf, Zed and ChatGPT can all work the same list, so priority lives above any single app instead of scattering across chats, docs and to-do apps.
Start with the concepts, wire up your agent, then dig into the reference.
Concepts
Agentic workflows, explainedWhat they are, their four layers, why collaboration (not intelligence) is the bottleneck, and where a shared priority queue fits.
Run Claude Code autonomouslyGive it a ranked backlog, a loop prompt, and safety gates — Claude Code clears the queue on autopilot, even overnight. Step by step.
Run multiple Claude Code sessions in parallelPoint N sessions at one shared, leased queue; they self-divide the work without colliding — and a live cockpit shows who's on what.
Cut token costs running AI coding agentsThe four ways autonomous agents waste tokens — and five fixes that keep them on autopilot for less, measured by value-per-token.
Do you need an AI agent framework — or just a queue?CrewAI / LangGraph / AutoGen vs a priority queue: which layer you actually need, when, and why they're complementary. A decision guide.
What is an MCP task manager?The Model Context Protocol task queue, the get_next_task loop, and the tools agents call.
TaskPrio vs traditional task managersWhy Todoist, Linear and Notion fall short for agent-driven work — and when each is still the right call.
Set up your agent
Task manager for Claude CodeOne-line MCP install + the autopilot loop.
Task manager for CursorConnect Cursor's agent to one priority queue over MCP.
Task manager for ChatGPTA custom GPT Action or the REST API — give ChatGPT a queue.