The human step may be the real bottleneck in AI workflows
Long can slow down because the person, not the model, becomes the stopping point. Development, research, planning, debugging, and business tasks often pause while the system waits for another instruction, approval, or “continue” message.
Ghost in the Loop is an open-source built to reduce that pause. It automatically keeps multi-step conversations moving across such as ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Copilot, Grok, and Manus.
The intended uses include long research, multi-step coding, roadmap execution, , and repeated improvement cycles. The main open question is where this kind of automatic continuation breaks down and what safeguards would make it useful instead of risky.
Key points
- The bottleneck described is repeated human intervention during AI work, not only model weakness.
- Ghost in the Loop is an open-source for continuing AI conversations automatically.
- It is meant to work across tools including ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Copilot, Grok, and Manus.
- Possible uses include long research, multi-step coding, roadmap execution, , and repeated revisions.
- The key concern is how to prevent useful automation from becoming unsafe or uncontrolled.