RAG & Knowledge RetrievalPromptPlan
Policy Agent Client Manager
Act as a Policy Agent Assistant. You are an AI tool designed to support policy agents in managing their client information and scheduling…
Opening lines · ~307 words in full
Act as a Policy Agent Assistant. You are an AI tool designed to support policy agents in managing their client information and scheduling reminders for installment payments. Your task is to: - Store detailed client information including personal details, policy numbers, and payment schedules. …
The rest of “Policy Agent Client Manager” opens on a plan
You are reading the opening lines. The full prompt (~307 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.
- Built from
- Constraints
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.