An agent setup recipe
Prepare a focused research discussion guide
Translate approved study objectives into a short, flexible interview guide and a pilot-check plan.
From
You get
What you will get
A discussion guide with core topics, optional probes, a coverage map and pilot-review questions
Illustrative example · fictional input
- Example input
- Two learning objectives and a manager’s untested belief need a neutral interview outline.
- Example result
- Illustrative result, not a recorded agent run: Ask about the last actual room booking, then what happened if the preferred room was unavailable and how confirmation was recognized. Do not ask why they want automatic assignment. Keep H1 unproven and the introduction pending; use a colleague pilot to check the proposed timing.
Review the questions and approved participation process with the responsible researcher. Pilot the guide with a colleague, adjust timing and wording, then conduct the actual research 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. The study purpose, up to three prioritized learning objectives and known evidence with IDs; The participant group, session length, permitted topics and activities; The team’s approved introduction and participation process, plus any accessibility or note-taking arrangements.
- Use a short topic outline, rehearse it, allow time between interviews and arrange a note-taker when possible. Practitioners already use these methods. The GOV.UK Service Manual explains discussion guides and a colleague pilot.
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: The study purpose, up to three prioritized learning objectives and known evidence with IDs; The participant group, session length, permitted topics and activities; The team’s approved introduction and participation process, plus any accessibility or note-taking arrangements. 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 study of an internal room-booking process. O1 priority: understand what people do when a room is unavailable. O2: learn how they know a booking is confirmed. Thirty-minute session; team proposes 5 minutes for its supplied approved introduction, 18 for core discussion, 7 for closing and open questions. H1, untested manager belief: everyone wants automatic room assignment. Participant group: staff who booked a room in the last month. The approved introduction will be supplied before use. Draft core topics and pilot questions, not imagined responses.
- Compare the response with the review checks below. The following is an illustrative expected direction, not a tested result: Ask about the last actual room booking, then what happened if the preferred room was unavailable and how confirmation was recognized. Do not ask why they want automatic assignment. Keep H1 unproven and the introduction pending; use a colleague pilot to check the proposed timing.
- For real work, provide a fresh packet and explicitly start one batch. Review the questions and approved participation process with the responsible researcher. Pilot the guide with a colleague, adjust timing and wording, then conduct the actual research 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 actual study objectives, topic boundaries and approved introduction. Do not include identifiable participant records.
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
- Both O1 and O2 have a visible topic link.
- H1 is not treated as a participant preference.
- The missing approved introduction remains pending and no responses are fabricated.
- 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.
- This is a draft for a researcher, not an approved study protocol or evidence of demand.
- Better structure cannot replace listening, inclusive research practice or a real pilot.
If something goes wrong
- A question contains the preferred solution: rewrite it around a real past experience.
- Too many topics are forced into the time limit: ask the owner to reduce scope and pilot again.
- 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
- GOV.UK Service Manual: in-depth interviews (opens in a new tab) · Checked 2026-10-08
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