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  5. Your First Interaction

Your First Interaction

What to say first, how conversations work, tips for getting the best results, and understanding conversation style.

Last updated: April 14, 2026
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What to Say First

There is no special syntax or format required. Just talk to your AI employee the way you would talk to a human assistant. Start with something simple like asking it to check your calendar, draft an email, or look something up. The AI employee understands natural language and can handle casual, conversational requests as well as detailed, specific instructions. The more specific you are, the better the result — but you do not need to be perfect.

A simple first task

Start with something straightforward to get a feel for how it works.

You say:
What's on my calendar today?
Sarudo responds:
Here's your schedule for today: You have a team standup at 9:30 AM, a call with the design team at 11:00 AM, lunch with Mark at 12:30 PM, and a project review at 3:00 PM. You also have a follow-up with ClientCo due today — would you like me to draft that email?

How Conversations Work

Conversations with your AI employee are contextual. The AI remembers what you have discussed within a session and can reference earlier messages. If you ask it to draft an email and then say "make it more formal," it knows which email you are referring to. For complex tasks, you can have back-and-forth exchanges to refine the output. The AI also has access to your stored knowledge, CRM data, calendar, and other connected systems, so it can pull in relevant context automatically.

ℹ️

Use the /new command to start a fresh conversation when switching to a completely different topic. This helps the AI focus on the new task without confusion from previous context.

Tips for Getting the Best Results

Here are some practical tips for working effectively with your AI employee. Be specific about what you want — instead of "send an email," say "draft a follow-up email to Sarah about the Q2 proposal." Provide context when it helps — mention relevant background information the AI might need. Give feedback on outputs — if something is not quite right, tell the AI what to change rather than starting over. Build on conversations — you can refine and iterate in the same session. And do not hesitate to ask the AI what it can do — it will tell you about its capabilities.

Being specific gets better results

Compare a vague request with a specific one.

You say:
Draft a follow-up email to Sarah Chen at ACME Corp about the Q2 proposal we discussed yesterday. Mention the 15% volume discount we agreed on and ask about their timeline for signing.
Sarudo responds:
I've drafted the follow-up email to Sarah. Here's what I wrote: Subject: "Following Up — Q2 Proposal & Volume Discount." The email references your discussion points, highlights the 15% volume discount, and asks about their signing timeline. I kept the tone professional but friendly, matching your usual style. Shall I send it or would you like to make changes?

Understanding the Conversation Style

Your AI employee adapts to your communication style over time. Initially, responses may be somewhat formal and thorough. As it learns your preferences, it adjusts — shorter responses if you prefer brevity, more detail if you like comprehensive updates. You can also explicitly tell your AI employee how you want it to communicate. For example, you can say "keep responses short" or "always include next steps" and it will remember these preferences going forward.

✅

Tell your AI employee about your communication preferences early on. Say something like "I prefer bullet points over paragraphs" or "Always confirm before sending anything" to shape the experience.

Related Articles

Setting Up Telegram
How to connect with your AI employee via Telegram — finding the bot, sending your first message, and understanding the interface.
Tips for Effective Communication
How to write clear prompts, be specific, provide context, and iterate on responses for the best results.
What Your AI Employee Can Do
A high-level overview of all capabilities organized by category, with links to detailed documentation for each feature.
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