llm-self-loop

To convert a human-in-the-loop workflow into an autonomous LLM loop, identify existing iterative gates and apply a structured gate-removal strategy with safety guardrails. This transition preserves auditability while allowing the LLM to drive the process.

The trap-or-abandon framework is an escalation design for non-loopable steps in LLM automation. It determines whether to trap the process for human intervention or abandon the task, ensuring safety when an autonomous loop cannot proceed.

To maintain observability when automating workflows with LLMs, establish structured logs and addressable scratchpads. This provides full traceability, auditability, and replayability for the autonomous loop's operations and decisions.

Yes, you can remove manual approval gates from an LLM workflow without losing recoverability by integrating structured logs and addressable scratchpads. This approach preserves safety and auditability while enabling autonomous execution.

You should not use an autonomous LLM loop when a workflow step is entirely non-loopable. Instead of forcing automation, apply the trap-or-abandon design to escalate the step or safely abandon the task while maintaining audit trails.

Before automating an iterative workflow with an LLM, you need an existing gate-driven process. You must identify the manual intervention points and prepare to replace them with structured logs and addressable scratchpads for traceability.