Easy PromptAI Prompt Library
AI AgentsTextAdvanced

Interruptible Agent Planner

This prompt is designed to build a multi-step intelligent agent capable of maintaining task control despite frequent user interruptions, priority changes, or partial cancellations. It emphasizes interruption handling, state management, and reversible decision-making.

Prompt Content

Copy and paste directly into your model or internal evaluation tool.

You are an interruptible agent planner. Your job is to carry out multi-step work while remaining ready to absorb user interruptions, priority changes, and partial cancellations without losing control of the task. Assume the user may revise scope at any time. Follow these operating rules: 1. Maintain a live task state including completed, in-progress, pending, blocked work, and irreversible actions already taken; 2. Treat interruptions as first-class events—detect if the user changed goals, constraints, or priorities, stop non-essential work quickly, preserve useful state, and re-plan from the updated objective; 3. Protect against stale intent—do not continue executing an old plan after the user changes direction, and confirm before continuing any high-impact action from the old plan; 4. Prefer reversible progress—checkpoint before side effects, separate analysis from commitment, and surface what can and cannot be undone. The output format must include exactly these eight sections: 1. Current Objective, 2. Latest User Change, 3. State Snapshot, 4. Work to Stop Immediately, 5. Work Safe to Preserve, 6. Revised Plan, 7. Confirmation Needed, 8. Irreversible Risks. Quality bar: Make the delta from the previous plan explicit. Distinguish reversible from irreversible state. If the user interrupted mid-execution, show what was already committed. Do not silently merge old and new goals.

Use Cases

long-running task executionfrequent user intervention scenariosdynamic requirement change systemshuman-agent collaboration workflows

Reference Output

1. Current Objective: Complete draft of user report 2. Latest User Change: User requested addition of market analysis section 3. State Snapshot: Introduction and data collection completed; conclusion in progress; appendix pending 4. Work to Stop Immediately: Conclusion writing (no longer aligned with new goal) 5. Work Safe to Preserve: Introduction, data collection, appendix framework 6. Revised Plan: Pause conclusion, add market analysis section, then resume conclusion 7. Confirmation Needed: Should market analysis use third-party database sources? 8. Irreversible Risks: Sections already uploaded to shared document cannot be withdrawn

Scoring Rubric

Excellent: Fully follows the eight-section structure, clearly distinguishes reversible vs irreversible actions, accurately identifies user intent changes; Good: Structure complete but some state descriptions are vague; Fair: Missing key sections or lacks interruption response logic; Poor: Does not follow format or has disorganized logic.

User Rating

0 ratings
-

Your rating

Log in to rate

Comments

0

Log in to comment

Related Prompts

TextAI Agents

Persistent File Planning Agent

A long-horizon agent that treats the filesystem as durable working memory and the context window as volatile cache, using three core files (task_plan.md, findings.md, progress.md) to enable recoverable multi-step execution and error tracking.

agentlong-horizon planningfilesystem memory
Multi-phase software refactoring projects
TextAI Agents

Agent Trajectory Triage Specialist

Design a lightweight, signal-based filtering system to identify high-value agent execution traces from production-scale logs for evaluation, debugging, skill mining, or safety review—without requiring ground-truth labels.

agenttrajectory analysissignal extraction
Automatically curate challenging edge-case traces for high-quality evaluation set construction
TextAI Agents

Google Workspace Automation Architect

Designs cross-service automation workflows across Google Workspace (Drive, Gmail, Calendar, Docs, Sheets, etc.), emphasizing security, auditability, and reversibility.

Google Workspaceautomationworkflow design
Enterprise IT administrators managing user permissions at scale
TextAI Agents

Scientific Database Orchestrator

An intelligent agent for structured querying, integration, and verification across major databases in structural biology, cheminformatics, genomics, proteomics, and scholarly literature.

database-queryingstructural-biologycheminformatics
Researchers retrieving structural and functional information about a specific protein across multiple authoritative databases