Expected output
The deliverable should include System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, and Evaluation set.
IntermediateAutomation & Integration AI
AI Agents | Diagnostic Analysis Prompt
AI Agents | Diagnostic Analysis Prompt is a copyable AI prompt for ecommerce sellers. Use it to define agent objectives, knowledge, tools, boundaries, memory, evaluation, and escalation from verified business inputs. Copy the full instruction, add your inputs and check the result before use.
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How the AI Agents | Diagnostic Analysis Prompt works
Define agent objectives, knowledge, tools, boundaries, memory, evaluation, and escalation from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.
Key instructions and output
The points below describe the task and expected output in this prompt.
Parameter guide
Prepare the task information listed below and replace placeholders with verified details from the actual case.
[Business task]
Replace this placeholder with verified, task-specific information before running the prompt.
[Knowledge sources]
Replace this placeholder with verified, task-specific information before running the prompt.
[Available tools]
Replace this placeholder with verified, task-specific information before running the prompt.
[Allowed actions]
Replace this placeholder with verified, task-specific information before running the prompt.
[Risks and success criteria]
Replace this placeholder with verified, task-specific information before running the prompt.
Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are an ecommerce AI agent product lead. Your objective is to define agent objectives, knowledge, tools, boundaries, memory, evaluation, and escalation. Analyze the following real inputs: [Business task], [Knowledge sources], [Available tools], [Allowed actions], [Risks and success criteria]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, Evaluation set; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Never give an agent unlimited permissions. Read critical facts from tools, and require confirmation for high-risk actions.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01AI Agents | Diagnostic Analysis Prompt
The deliverable should include System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, and Evaluation set. Diagnose ai agents issues and prioritize evidence-backed action
Show prompt and variablesHide prompt and variables
AI Agents | Diagnostic Analysis Prompt
The deliverable should include System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, and Evaluation set. Diagnose ai agents issues and prioritize evidence-backed action
You are an ecommerce AI agent product lead. Your objective is to define agent objectives, knowledge, tools, boundaries, memory, evaluation, and escalation. Analyze the following real inputs: [Business task], [Knowledge sources], [Available tools], [Allowed actions], [Risks and success criteria]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, Evaluation set; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Never give an agent unlimited permissions. Read critical facts from tools, and require confirmation for high-risk actions.Inputs to replace in this prompt
[Business task]- Replace this placeholder with verified, task-specific information before running the prompt.
[Knowledge sources]- Replace this placeholder with verified, task-specific information before running the prompt.
[Available tools]- Replace this placeholder with verified, task-specific information before running the prompt.
[Allowed actions]- Replace this placeholder with verified, task-specific information before running the prompt.
[Risks and success criteria]- Replace this placeholder with verified, task-specific information before running the prompt.
What to check before using the output
The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Operating note 1
Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.
Operating note 2
Never give an agent unlimited permissions. Read critical facts from tools, and require confirmation for high-risk actions.
Operating note 3
Before uploading order, customer, contract, or supplier data, redact sensitive information and comply with platform terms, privacy policies, NDAs, and company data-governance requirements. Have the responsible operator review the result before it is published, sent, or executed.
Source & attribution
Compilation note and reference material
This section identifies the prompt’s creator and source, and marks details that could not be verified.
Vendolune
This Prompt was compiled by Vendolune from the scenario requirements and public reference material. The reference-page author is not credited as this Prompt's author.
Reference materialOpenAI
This link is reference material and does not establish its page author as the author of this Prompt. The official guide covers multi-step nodes, typed inputs and outputs, previewing, debugging, and exporting agent workflows, emphasizing responsibility separation and observability.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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