human in the loop
8 articles · 13 co-occurring · 0 contradictions · 5 briefs
In CrewAI's task model, a task definition can include a `human_input=True` parameter. When enabled, after an agent generates its result, the framework will prompt you for additional input or confirmat
In CrewAI's task model, a task definition can include a `human_input=True` parameter. When enabled, after an agent generates its result, the framework will prompt you for additional input or confirmat
the tools are only as good as the person directing them. They need context. They need constraints. They need someone who understands the problem well enough to know when the AI is solving the wrong th
I use a prompt to make AI my design partner and then we explore the feature idea together." — Explicitly frames AI as collaborative design partner, showing iterative exploration model between human an
but i don't think the most important metric is how much code AI generates, it's how much is reviewed by humans" — Article reframes the success metric from volume to human oversight, adding a critical
You define the spec, approve the plan, and let agents work in parallel" — Intent requires developers to explicitly approve agent plans before execution, embedding human oversight into the agent orches
validating outputs (human in the loop, and resolving issues)" — Article positions human validation and issue resolution as a core responsibility of the orchestration layer, supporting the necessity of
We'll build a system that can answer different types of questions and dive into how to implement a human-in-the-loop setup." — Article explicitly addresses implementation of human-in-the-loop interact
AutoGen's built-in support for human-in-the-loop interactions is a context pattern—determining when to pass control to humans requires clear context about what agents can/cannot resolve.