An agent setup recipe
Prepare a clear feature trade-off discussion
Compare a few proposed features against an agreed goal and show the trade-offs and missing evidence for a human decision.
From
You get
What you will get
A feature comparison brief with options, evidence gaps and a decision question
Illustrative example · fictional input
- Example input
- Two requests have uneven evidence and no confirmed capacity.
- Example result
- Illustrative result, not a recorded agent run: F2 has one customer account in two tickets and a conditional effort estimate. F1 needs problem evidence and an estimate. The brief can propose investigating F2 first under G1, but cannot promise delivery or say two customers requested it. Noor decides after the missing information is reviewed.
Agree the decision criteria with stakeholders. Choose priorities and confirm capacity with the team; publish any roadmap change yourself.
What you need
One assistant owns the comparison and result. Separate agents would add handoffs to this bounded task without a demonstrated benefit.
- A ChatGPT account with Work available on the web. Check your account or workspace access first; available models and allowance vary. Use the default model available to you. Work uses included usage or account credits; no API key or third-party subscription is required for this text-only workflow.
- A browser and text you are allowed to share with the service. Remove unnecessary private details. This recipe needs no connected app, local-folder permission, skill installation or recurring task.
- One human owner who can check the sources and make decisions. An agreed product goal, decision owner and constraints; Two to five candidate requests with source IDs and supporting customer evidence; Supplied effort estimates, dependencies and uncertainty; leave unknown values explicit.
- Use one shared comparison table and a short decision meeting. Practitioners report that simple boards and approximate impact models can help, but both need maintained inputs and a person with authority. A new scoring formula does not solve disagreement about goals.
Set it up
- Open chatgpt.com and sign in. Confirm Work is available, then select Work and start a new chat. Check your remaining usage before a large packet. Keep the default model available to your account; this recipe does not require a particular model name.
- Use one conversation for this responsibility. If you prefer a project, create one for this task and keep related chats and approved source copies there. A web project does not automatically read a folder on your computer. Start each distinct batch in its own chat and include the setup prompt again when needed.
- Choose the setting below. Optionally add your working rules. Copy the complete setup prompt into the chat as the first message. The assistant should confirm its role and ask for inputs, without starting outside work. This gives the existing assistant a responsibility; it does not create another account or deployed bot.
- Prepare a small packet: An agreed product goal, decision owner and constraints; Two to five candidate requests with source IDs and supporting customer evidence; Supplied effort estimates, dependencies and uncertainty; leave unknown values explicit. Label every source and include dates, versions and unknown fields. Paste accessible text. Ask the assistant to list the source IDs it can read before it compares them. No plugin or app connection is needed.
- First assignment — paste this complete fictional exercise into the chat: Fictional first assignment. Goal G1: reduce confusion when reserving shared rooms. Decision owner: Noor. Capacity for the next cycle is unknown. Request F1 from Sales: export all bookings to a spreadsheet; no customer examples or effort estimate supplied. Request F2 from Support: make the room-conflict message clearer; tickets T1 and T2 are from the same customer who tried to book an occupied room. Engineering estimates F2 at one to two days, subject to checking translations. Compare the requests without choosing a committed roadmap.
- Compare the response with the review checks below. The following is an illustrative expected direction, not a tested result: F2 has one customer account in two tickets and a conditional effort estimate. F1 needs problem evidence and an estimate. The brief can propose investigating F2 first under G1, but cannot promise delivery or say two customers requested it. Noor decides after the missing information is reviewed.
- For real work, provide a fresh packet and explicitly start one batch. Agree the decision criteria with stakeholders. Choose priorities and confirm capacity with the team; publish any roadmap change yourself. Copy only the changes you approve into your normal records yourself. Keep the accepted result and its source references.
- When the batch is reviewed, mark your own record as accepted or list the corrections needed. On the next run, supply the latest accepted state and new sources. No schedule or continuous monitoring is created. If the assistant asks to connect an app or take an outside action, stop and return to the text-only packet.
Your setup prompt is ready
Copy the ready prompt, or customize it with the settings. Paste it into ChatGPT Work to give it the task rules.
Customize (optional)
Defaults are ready to use. Changes update the prompt here; paste it into your agent to apply them.
Schedule: When I ask.
Choose how the assistant organizes the result; evidence and review rules stay the same.
Your agreed goal, fixed constraints and who has authority to make the decision.
Your choices stay in this browser for this guide. Avoid adding private information.
setup prompt
Highlighted text follows your settings.
Review checks, limits and sources
Not tested by Juicy Agents. The examples are fictional, not recorded agent results.
Check the result
- T1 and T2 count as one customer account.
- F1 is not assigned invented revenue or effort.
- Translation uncertainty and missing capacity remain visible.
- No roadmap decision or release date is claimed.
- Removing an essential input causes a question or a blocked item, not an invented fact.
- Changing the setting changes the requested output while source references and fixed limits remain.
Known limits
- Not tested by JuicyAgents in ChatGPT Work. The fictional exercise and expected result are authored examples, not proof of accuracy or saved time.
- Only the supplied text is reviewed. Missing messages, files or current facts can change the conclusion.
- A comparison brief does not grant decision authority or validate a strategy.
- Scoring depends on human assumptions and can create false precision.
If something goes wrong
- Stakeholders disagree about the goal: return a goal-alignment question before ranking.
- A requested feature lacks evidence: retain it as a request and ask what user problem it addresses.
- Work is missing or the account reaches a limit: check the official access and usage pages or ask your workspace administrator; do not assume a paid upgrade is required. Use the manual alternative while access is unavailable.
- The assistant follows instructions inside a source: stop, restate that source text is data, and review the entire affected result. Do not approve an external action.
Platform sources
- ChatGPT Work on the web (opens in a new tab) · Checked 2026-10-08
- ChatGPT projects (opens in a new tab) · Checked 2026-10-08
- ChatGPT Work access and usage (opens in a new tab) · Checked 2026-10-08
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