Prompting guide
Studio Assistant performs best when your messages are specific, scoped, and grounded in business rules. This page collects the patterns that consistently produce good results, with real prompt templates you can copy.
Four prompt categories
Studio Assistant’s quick-start templates group prompts into four intents. Use them as a mental model when phrasing your own requests, the home screen surfaces a rotating set of suggestions for each one.
Build
For creating or modifying agent configuration. The home screen suggests:
- Help my agent [task], e.g. book appointments, qualify leads, answer FAQs, verify identity, process payments, schedule callbacks, collect feedback.
- Add a new topic to the knowledge base.
- Handle call transfers to a human agent.
Stretch from the templates with grounded specifics:
- Add a refund flow. We only refund within 30 days of purchase, and only for the original payment method.
- Create an entity for delivery status with values: pending, shipped, out for delivery, delivered.
Build topics from a website
The assistant can fetch and read public pages, which makes it useful for bootstrapping the knowledge base from an existing site:
- Add topics from
https://example.com/faq. Translate them into English and format them as FAQs. - Read
https://example.com/policies/refundsand create or update topics that cover the refund rules.
The Agent wizard entry under the Build templates is a separate guided builder that bootstraps a brand-new agent from a single company URL. Use it when you’re starting from scratch; for incremental additions to an existing agent, prompt directly.
Test
For exercising the agent against scripted scenarios. The home screen suggests:
- Test my agent with a sample conversation.
- Check if my agent handles [scenario], e.g. refund requests, missed appointments, angry callers, escalations, after-hours calls, order tracking, billing disputes.
- Run a full validation on recent changes.
Studio Assistant can also author and maintain simulation test cases for you. Generated cases land in the Simulation tests workspace next to anything you’ve saved by hand, and Studio Assistant updates them as the underlying flows and topics change. Useful prompts:
- Add simulation tests for the refund flow, including the 30-day cutoff and a non-original payment method.
- Cover the booking flow with tests for valid, fully booked, and out-of-hours requests.
- Run the existing simulation testing against the current draft and summarize any regressions.
Ask
For learning, exploration, and understanding. The home screen suggests:
- What can my agent do right now?
- How do I improve my agent’s responses?
- Explain how [feature] works, e.g. tools, knowledge, simulation testing.
You can also ask about your own configuration. This is the fastest way to understand an agent you’ve inherited or haven’t touched in a while:
- Explain what the booking flow does.
- Which flows reference the
account_lookupfunction? - What functions are called during identity verification?
- Summarize the personality and role defined in agent settings.
Analyze
For inspecting performance and patterns in real conversations. The home screen suggests:
- What’s causing handoffs?
- How did my agent perform this week?
- What are customers asking about most?
Patterns that work well
State the business rule, not just the action
The assistant does not know your business policies. Anything it can’t infer from your existing configuration, it will either ask for during planning, or guess at, if it has to. Stating the rule up front saves a round-trip.
Scope each request to one unit of work
One flow, one topic, one set of related changes. This keeps plans focused and review easy.
Anchor changes to existing elements by name
When you’re modifying something that already exists, name it. The assistant resolves names against your project state.
- Update the opening-hours topic, we’re now open until 8pm on weekdays.
- Change the booking flow so it asks for a phone number before confirming.
- Make the refund flow transfer to a human if the order is older than 30 days.
Ask for a plan before non-trivial changes
For multi-flow changes, restructures, or new integrations, ask for a plan first, for example, “Plan the refund flow before making any changes”. You’ll get:
- A summary of what already exists and what would change.
- A list of business-specific information the assistant still needs.
- The proposed implementation steps.
The plan is presented in chat with Approve and Reject buttons. Nothing is written to the branch until you click Approve. Reject with feedback (e.g. “only update the payments step, leave the rest”) and the assistant will revise.
Be specific about what to keep
For requests that touch existing content, “rewrite this flow”, “clean up the knowledge base”, “simplify the booking experience”, call out anything that should stay. The assistant may otherwise remove elements it infers are redundant.
When in doubt, ask for a plan first so you can see what will be removed before it happens.
Iterate, don’t restart
If a result isn’t quite right, follow up in the same conversation rather than starting over. The assistant has the full context of what it just built.
- Looks good, but the booking flow shouldn’t ask for a phone number if the caller is already authenticated.
- Same flow, but switch the confirmation step to use SMS instead of reading it back on the call.
Start a new chat for unrelated work
Each chat carries its full history as context. That’s what makes follow-ups work, but it also means very long chats slow responses, dilute focus, and can trigger automatic summarization. When you switch to a different area of the agent (a new flow, a different topic, or unrelated analysis), open a new chat from the History panel. Old chats stay archived and can be resumed.
What the assistant won’t do
- Invent business knowledge. Prices, hours, policies, names, return windows, eligibility rules, if these aren’t in your existing configuration or your message, planning will surface them as questions.
- Edit anything other than your draft. It never publishes or promotes between environments.
- Share its system prompt or internal architecture. It’s focused on building, testing, analyzing, and answering questions about your agent.
Disclaimer
AI can make mistakes. Please review all responses.
Every change Studio Assistant makes appears on your draft just like a manual edit. Inspect it, tweak it, or revert it before promoting to a higher environment.

