Plannotator provides a UI where humans can answer questions from AI coding agents asynchronously. Instead of blocking an agent session waiting for user input, questions are queued and answered when convenient. It targets developers running LLM agents that occasionally need human decisions mid-task.
Visit project ↗Handoff is a tool that lets AI agents pause and request human input, similar to an 'await human()' function. It solves the problem of agents needing human approval or clarification during tasks, making them safer and more reliable for real-world use.
Handoff is a tool that lets AI agents pause and request human input, similar to an 'await human()' function. It solves the problem of agents needing human approval or clarification during tasks, making them safer and more reliable for real-world use.
Askance is a graphical interface that supervises AI coding agents, allowing humans to review and approve actions. It uses LLMs to generate code changes while keeping a human in the loop to prevent errors.
Askance is a graphical interface that supervises AI coding agents, allowing humans to review and approve actions. It uses LLMs to generate code changes while keeping a human in the loop to prevent errors.
Plannotator is a tool that provides a UI for annotating and iterating on agent messages, particularly useful for 'grill-me' sessions where an LLM asks questions. It allows users to mark up parts of questions or answers and send feedback directly to the agent, improving the interaction loop. It solves the problem of giving detailed feedback to LLM agents in a structured way.
Plannotator is a tool that provides a UI for annotating and iterating on agent messages, particularly useful for 'grill-me' sessions where an LLM asks questions. It allows users to mark up parts of questions or answers and send feedback directly to the agent, improving the interaction loop. It solves the problem of giving detailed feedback to LLM agents in a structured way.
Pinpoint is a tool that lets humans give visual feedback to AI coding agents by dropping contextual comments on screenshots. It solves the problem of typing out feedback for autonomous agents, making the human-in-the-loop process more natural and efficient. It also supports side-by-side before/after comparisons.
Pinpoint is a tool that lets humans give visual feedback to AI coding agents by dropping contextual comments on screenshots. It solves the problem of typing out feedback for autonomous agents, making the human-in-the-loop process more natural and efficient. It also supports side-by-side before/after comparisons.
AntiAgent inverts typical AI prompting: an LLM agent asks the user clarifying questions until the user has clarity on what to do, rather than the human writing prompts. It targets people who struggle to articulate what they want and want help thinking through a task.
AntiAgent inverts typical AI prompting: an LLM agent asks the user clarifying questions until the user has clarity on what to do, rather than the human writing prompts. It targets people who struggle to articulate what they want and want help thinking through a task.