How to manage asynchronous AI workflows through a visual interface instead of complex code

How to manage asynchronous AI workflows through a visual interface instead of complex code

This task can be performed using AgentCraft

Orchestrate async AI agents effortlessly, with joyfully simple control

Best product for this task

AgentC

AgentCraft is an RTS-inspired interface for orchestrating Claude Code AI agents, giving you a single pane of glass to track, command, and manage asynchronous tasks. It turns complex multi-agent workflows into an interactive, map-based control experience that’s both powerful and intuitive.

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What to expect from an ideal product

  1. Drag and drop AI agents on a visual map instead of writing complex async code to coordinate multiple tasks
  2. Monitor all your running AI workflows from one dashboard rather than juggling terminal windows and log files
  3. Click to pause, resume, or redirect agent tasks in real-time without diving into code repositories
  4. Connect agent outputs and inputs visually by drawing lines between nodes instead of managing API calls and data pipelines
  5. Set up conditional workflows and branching logic through simple point-and-click actions rather than nested if-statements and error handling

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