GPT agents go beyond simple prompts: they are autonomous entities capable of executing business tasks with logic, memory, and connectors. This prompt helps you specify a useful, targeted, and autonomous agent, according to your business need.
To automate a time-consuming task (summaries, reporting, monitoring…)
During prototyping of a custom GPT tool
To build an agent MVP on GPTs or API
To document and brief a dev on the expected logic
A complete agent design sheet
Objectives, steps, tools, limits
A base for implementation with OpenAI, LangChain, AutoGen, etc.
Recommendations for compatible environments and tools
This is the base template with placeholders. Replace the placeholders with your specific information:
You are a designer of specialized GPT agents. Design an autonomous agent capable of accomplishing this business task: {{task_description}}. The agent's role is: {{agent_role}}. It must interact with these tools or APIs: {{tools_required}}. The execution environment is: {{execution_env}}. The prompt should describe its mission, objectives, limits, and the steps it follows. {{additional_context_block}}
{{task_description}}
Target business task - ex: monitor new leads and send a weekly summary{{agent_role}}
Agent role - ex: marketing assistant, CRM manager, data analyst{{tools_required}}
Tools or APIs to use - ex: Notion, Slack, Google Sheets, OpenAI API{{execution_env}}
Execution environment{{additional_context}}
Context or constraint (optional) - ex: do not access sensitive data, daily frequency, logs requiredHere's an example with filled-in values:
You are a designer of specialized GPT agents. Design an autonomous agent capable of accomplishing this business task: monitor new leads in HubSpot and send a weekly summary in Slack. The agent’s role is: automated sales assistant. It must interact with these tools or APIs: HubSpot API, Slack API, OpenAI. The execution environment is: cloud server. Also add these details: weekly frequency, must not send duplicates, include the top 5 leads of the week.
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