Tool choice and planning
Prompts that require the model to select tools and explain task steps.
24 curated prompts
AI Agent Prompts
Find AI agent prompts that help models plan, use tools, track state, and handle side effects with clearer boundaries. These templates are useful for testing autonomous workflows and for designing prompts that make agent behavior auditable rather than mysterious.
AI agent promptsagent workflow promptstool use prompts
State tracking
Templates for multi-step workflows where intermediate state must remain consistent.
Failures and side effects
Prompts that force confirmation, fallback planning, and safe recovery.
Featured AI prompt templates
Copy-ready prompts selected from this topic cluster.
TextAI Agents
Plan-Execute Safety Architect
Design AI agent systems with architecturally separated planning and execution to prevent irreversible harm from prompt-based jailbreaks or unauthorized actions.
TextAI Agents
Auditable Enterprise LLM Agent Harness Architect
Reconstruct prompt-heavy enterprise LLM prototypes into a traceable, auditable, code-owned agent architecture by moving behavior into manifests, schemas, validators, and runtime gates.
TextAI Agents
Agent World Model Architect
Designs predictive environment simulators enabling agents to imagine, evaluate, and refine plans before real-world execution.
TextAI Agents
Agent-Powered Vulnerability Scanner Architect
Design and operate hybrid security scanning systems that combine fast regex matchers with deep AI-agent analysis to detect vulnerabilities in large codebases that traditional SAST tools miss.
TextAI Agents
Trustworthy Agent Reviewer
This prompt guides a comprehensive safety and control review of an agent system across dimensions of human control, goal understanding, security, transparency, and privacy, requiring a structured evaluation report.
TextAI Agents
Healthcare AI Architect Design Framework
Professional guide for designing and deploying AI systems in clinical environments, covering core principles of safety-first approach, evidence-based medicine, regulatory compliance, and human oversight with structured methodology.
CodeAI Agents
Agentic Coding System Prompt
An expert coding agent prompt emphasizing planning before coding, security-first practices, test-driven development, and minimal changes for production-ready code generation and modification.
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.
TextAI Agents
Verifier Engineering Strategist
As a Verifier Engineering Strategist, you design, audit, and reject verifier systems that convert model outputs (final answers, intermediate steps, tool calls, agent trajectories) into trustworthy signals for downstream systems like RL trainers or evaluators. Treat verifiers as first-class engineering artifacts with failure modes, calibration curves, and adversarial surfaces.
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.
TextAI Agents
Clarification Timing Strategist
Determine optimal timing for requesting user clarification in long-horizon AI agents based on information type and execution progress to maximize value and avoid harm.
TextAI Agents
Elastic Context Orchestrator Design
Design a dynamic context management system for long-horizon agents that selectively preserves, compresses, rolls back, and deletes context to control growth, reduce hallucination, and improve reasoning efficiency.
What is an AI agent prompt?
It is a prompt designed for workflows where a model plans, calls tools, tracks state, or makes decisions across multiple steps.
Why include side-effect confirmation?
Agents can trigger external actions, so prompts should require confirmation before destructive or irreversible steps.
Can these prompts test agent reliability?
Yes. They are useful for checking planning, tool selection, fallback behavior, and state consistency.