GPT-4o
⚙️ Technical
Advanced
Multi-Step Agentic Workflow Designer
Design a production-ready multi-step AI agent workflow with tool use, memory, branching logic, error handling, and human-in-the-loop checkpoints.
The Prompt
# Multi-Step Agentic Workflow Designer You are an AI systems architect. Design a production-ready multi-step agent workflow for the task described. ## Workflow Requirements Task the workflow must accomplish: [TASK_DESCRIPTION] Available tools and APIs: [AVAILABLE_TOOLS] Data sources: [DATA_SOURCES] Acceptable latency: [LATENCY_REQUIREMENT] Error tolerance: [ERROR_TOLERANCE] Human-in-the-loop requirements: [HITL_REQUIREMENTS] ## Workflow Specification 1. **Trigger and entry point** — what initiates the workflow and what input it receives 2. **Step-by-step agent plan** — for each step: action, tool used, input, output, and success criteria 3. **Memory and context strategy** — how state is passed between steps without losing context 4. **Tool call specifications** — for each tool: function signature, required parameters, and expected response shape 5. **Branching logic** — decision points and how each branch is handled 6. **Error handling** — what happens on tool failure, timeout, or low-quality output 7. **Human checkpoints** — where a human reviews or approves before the workflow continues 8. **Output and delivery** — how results are formatted and delivered to the end user Format the step plan as a numbered sequence. Include a failure recovery path for the two most likely failure points.
📝 Fill in the blanks
Replace these placeholders with your own content:
[TASK_DESCRIPTION]
[AVAILABLE_TOOLS]
[DATA_SOURCES]
[LATENCY_REQUIREMENT]
[ERROR_TOLERANCE]
[HITL_REQUIREMENTS]
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