Expected output
The deliverable should include System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, and Evaluation set.
AI Agents | Comparative Decision Prompt is a copyable AI prompt for ecommerce sellers. Use it to compare candidate options against one consistent decision framework. Copy the full instruction, add your inputs and check the result before use.
Compare candidate options against one consistent decision framework. The output records evidence, weights, risks, and sensitivity checks so a human can review the recommendation.
The points below describe the task and expected output in this prompt.
The deliverable should include System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, and Evaluation set.
Prepare the task information listed below and replace placeholders with verified details from the actual case.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
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You are an ecommerce AI agent product lead. Compare [Option A], [Option B], and [Option C] for the objective: define agent objectives, knowledge, tools, boundaries, memory, evaluation, and escalation. Inputs: [Business task], [Knowledge sources], [Available tools], [Allowed actions], [Risks and success criteria]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, Evaluation set. Do not invent missing information to force a conclusion. Special requirement: Never give an agent unlimited permissions. Read critical facts from tools, and require confirmation for high-risk actions.Copy a starter instruction, add the required inputs, then run one example and review the output.
The deliverable should include System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, and Evaluation set. Compare options and make a reviewable ai agents decision
You are an ecommerce AI agent product lead. Compare [Option A], [Option B], and [Option C] for the objective: define agent objectives, knowledge, tools, boundaries, memory, evaluation, and escalation. Inputs: [Business task], [Knowledge sources], [Available tools], [Allowed actions], [Risks and success criteria]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and System instructions, Tool-use strategy, Input and output schema, Refusal and escalation rules, Evaluation set. Do not invent missing information to force a conclusion. Special requirement: Never give an agent unlimited permissions. Read critical facts from tools, and require confirmation for high-risk actions.[Option A][Option B][Option C][Business task][Knowledge sources][Available tools][Allowed actions][Risks and success criteria]The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.
Never give an agent unlimited permissions. Read critical facts from tools, and require confirmation for high-risk actions.
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.
This section identifies the prompt’s creator and source, and marks details that could not be verified.
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.
This link is reference material and does not establish its page author as the author of this Prompt. The author argues against using one general-purpose agent for everything and recommends specialized agents with shared context, clear responsibilities, and a coordinating orchestration layer.
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