Most people treat AI like a search engine and then wonder why the answers feel off. But when you ask AI a question the right way, you get more than just a reply. You can get summaries, suggestions, and even actions. You just need to know how to prompt it and which tool to use.
In this article, we’ll cover:
- How to ask AI questions
- Types of AI questions
- Examples of clear vs vague prompts
- What different types of AI tools can do
- When to use context-aware tools like Lindy for better results
Let’s understand what asking a question to AI means.
What does it mean to ask AI a question?
Asking AI a question means formulating a query that an AI system can understand and respond to with a relevant and accurate answer. This involves using natural language, providing sufficient context, and often specifying the desired output format.
Generative AI gives you the answer directly, unlike a search engine that sends you to websites. So, you ask AI to generate insights instead of searching for links.
Search tools retrieve links, but AI tools fetch links and generate answers. That difference changes how the tools handle your prompts:
- ChatGPT has different models that are good at handling different tasks. The 4o is the most popular model for creative tasks and back-and-forth conversations.
- Claude too has different models, and they can code, summarize text and generating long-form responses.
- Gemini AI mode gives you direct answers when you type a query in the Google search engine.
- AI agent tools like Lindy understand your context, like email or CRM data, and can take real action after the answer.
- iAsk.ai is built for quick factual answers.
Next, let’s look at 5 types of questions that you can ask AI.
The 5 types of AI questions
How do you ask AI a question? Knowing the different kinds of questions AI handles well will help. There are five main types of AI prompts:
1. Factual lookup
If you need quick, straight answers to your queries, like the capital of Canada, tools like iAsk.ai or search-powered bots work the best.
2. Summarization
Let’s say you need a TL;DR of a report, PDF, or a meeting. Some tools can condense it for you. Claude and NoteGPT do this well for academic or long-form content.
3. Creative generation
ChatGPT can help you write a cold email, brainstorm taglines, or generate blog intros. It can even render images based on your prompts.
4. Instructional
Consider this prompt: How do I set up a nurture sequence in HubSpot? You expect a step-by-step answer, like an explanation and a tutorial.
5. Context-aware or action-based
You want the tool to check your calendar, pull CRM notes, and book a meeting with the prospect. This is where AI agent tools like Lindy come in. It functions more like an ops assistant than a chatbot.
Each tool handles different types of AI questions, like summaries or actions. You’ll get better results when your question matches the right tool.
Your prompt affects the answer you get. Let’s look at why prompt clarity changes your results.
Why prompt quality matters
Prompt quality matters because vague prompts lead to vague answers. The clearer your prompt, the better the answer.
Let’s take an example.
Bad prompt: Help with outreach.
There’s no direction, no role, and no outcome.
Better prompt: Write a follow-up email to a lead who opened our pricing page but didn’t reply. Keep it casual and ask if they have questions.
Same general goal, but different prompts result in different results. Good prompts include:
- A role: Act like a sales rep
- A goal: Send a follow-up email
- A format or tone: Keep it casual
Your prompts must be clear if you want the AI responses to save time or drive outcomes.
Let’s get into some examples and easy templates you can steal to improve your prompt game.
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Examples of better ways to prompt AI
To ask AI a better question, make your prompt specific, structured, and tied to a goal. Here’s how to ask AI a question that gets a useful answer:
Use subject-object phrasing
Subject-object phrasing is a command or request format that omits the verb “to be” or other helping verbs. It focuses on the task to be done and what it applies to. It’s direct and concise, helping AI models understand the prompt easily.
Follow this format and say what you want in a crisp manner. Here's an example of a question that uses subject-object phrasing: Can you summarize this email chain? It’s direct and clearer than a vague prompt like this: Can you help?
Add a role or persona
When you ask it to act like a customer support agent responding to an angry email, it helps the AI know how to frame the response.
Here’s an example: You are a sales development representative. Can you draft cold emails for the following buyer persona?
Specify the format
Tell AI explicitly what you want out of the response. If you want bullet points, a list of pros and cons, or a formal tone, say it out loud in the prompt.
Let’s look at an example. I’ve uploaded a .txt file. Can you highlight all the grammar errors and create a spreadsheet including the original error text, why it’s wrong, and its replacement?
Prompts to use for different teams
We prepared a few ready-to-go prompts depending on your role. Here they are:
Marketers
- Draft a product announcement email in a friendly tone for our new launch.
- Give me 3 tagline options for a task automation tool.
Founders or Execs
- Summarize this week’s CRM notes and product updates into a short board slide.
- Act like a Chief of Staff — what should I prepare before my investor call?
Support or Ops Teams
- Summarize this customer thread and suggest 2 response options.
- Write a clear handoff note based on this ticket before escalation.
Once you learn this structure, you’ll reword prompts less often.
Most AI tools end the interaction once they give you an answer. What if you want the tool to take the next step too? That’s where tools like Lindy come in.
Why is Lindy different from traditional AI tools?
Lindy differs from traditional AI tools because it can perform tasks, not just provide answers. It performs tasks like scheduling, emailing, and updating your CRM. That’s what separates a chatbot from an AI assistant. Lindy helps people move from answers to action.
Here’s what makes it different:
Context awareness
Lindy connects to your calendar, inbox, CRM, and docs. That means when you ask it something, it doesn’t guess. It checks the right sources and gives you a real update.
Action-ready
You can ask it to schedule meetings, send emails, update Salesforce, or even log follow-ups in Notion without toggling between apps.
No-code setup
There’s no need to script anything. You describe the task, and Lindy’s agent does it. This helps non-technical teams use automation without coding.
Wide integrations
Lindy works with 7,000+ apps, including Gmail, Slack, Notion, HubSpot, Google Calendar, and dozens more. It lets you manage everything in one platform without switching between apps.
When you ask about the deal with Acme, Lindy checks your CRM, pulls meeting notes, and replies: In review. Legal is finalizing terms. The last follow-up was three days ago. That reply updates your pipeline and moves the deal forward.
Next, we’ll see how Lindy compares to other tools.
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Ask AI vs Ask Lindy: Feature comparison
Lindy, when compared to other AI tools like ChatGPT, iAsk, or Voila, helps you get work off your plate, not just answer your prompts. Here’s a side-by-side breakdown of how Lindy stacks up against them:
For most platforms, the conversation ends after the answer. Lindy turns answers into actions, like sending emails or updating CRM tasks.
Let’s look at some everyday questions people ask, and how Lindy handles them.
Real-world scenarios: Lindy in action
Lindy can complete a wide range of tasks for you. Here are a few examples:
Ask: Did anyone respond to my pitch from Monday?
Lindy: Checks your inbox and CRM, then replies in Slack: Yes, CTO at Acme responded yesterday asking about pricing.
Ask: What’s the next step on the Stripe deal?
Lindy: Pulls CRM status, scans the latest call notes, and tells you: Awaiting signed NDA. Sent last Thursday. No reply yet.
Ask: Schedule a follow-up with Sarah if she hasn’t replied by Friday.
Lindy: Tracks the email thread, waits until Friday, then books time on your calendar and pings her in Gmail.
Now that you’ve seen what Lindy can do, here are some prompts you can try based on your role or use case.
Try asking Lindy this (prompt ideas for different roles)
You can ask Lindy task-specific prompts based on your role, such as sales or recruiting. These prompts combine common tasks with the context. Here are a few Lindy prompts:
Sales
- What’s the next step on my deal with Stripe?
- Send a follow-up to Acme’s CTO if I haven’t heard back.
Recruiting
- Summarize this candidate’s resume and call notes.
- Draft a rejection email for this candidate, and keep it polite and concise.
Founders / Executives
- Prepare a board update with last week’s sales and product notes.
- List blockers from this sprint’s engineering notes for my Monday standup.
The more specific your prompt, the more helpful Lindy becomes. Think of it like giving a task to someone who already knows your workflow.
Let Lindy be your AI-powered automation app
If you want affordable AI automations, go with Lindy. It’s an AI agent platform that’s easy to use, even for non-technical teams.
Lindy includes pre-built templates and 7,000+ integrations.
Here’s why Lindy is an ideal option to automate your workflows:
- AI Meeting Note Taker: Lindy can join meetings based on Google Calendar events, record and transcribe conversations, and generate structured meeting notes in Google Docs. After the meeting, Lindy can send Slack or email summaries with action items and can even trigger follow-up workflows across apps like HubSpot and Gmail.
- Sales Coach: Lindy can provide custom coaching feedback, breaking down conversations using the MEDDPICC framework to identify key deal factors like decision criteria, objections, and pain points.
- Automated CRM updates: Instead of just logging a transcript, you can set up Lindy to update CRM fields and fill in missing data in Salesforce and HubSpot — without manual input.
- AI-powered follow-ups: Lindy agents can send follow-up emails, schedule meetings, and keep everyone in the loop by triggering notifications in Slack by letting you build a Slackbot.
- Lead enrichment: You can configure Lindy to use a prospecting API (People Data Labs) to research prospects and to provide sales teams with richer insights before outreach.
- Automated sales outreach: Lindy can run multi-touch email campaigns, follow up on leads, and even draft responses based on engagement signals.
- Cost-effective: Automate up to 400 monthly tasks with Lindy’s free version. The paid version lets you automate up to 5,000 tasks per month, which is a more affordable price per automation compared to many other platforms.
Frequently asked questions
How do I ask AI a question effectively?
To ask AI a question effectively, be direct, add context, and specify the format you want.
What’s the difference between AI and a search engine?
Search engines show links. AI gives you the answer and sometimes even takes action on it.
What is the best way to get accurate answers from AI?
The best way to get accurate answers from AI is to give clear and specific prompts with context. Avoid vague prompts.
Does Lindy work like ChatGPT?
Lindy can work like ChatGPT, but it’s more focused on executing tasks. Unlike ChatGPT, you can create custom AI agents for your workflows.
Can I connect Lindy to my email and calendar?
Yes, you can connect Lindy with your email and calendar. Lindy connects with 7,000+ apps.
What kind of questions can I ask Lindy?
You can ask Lindy anything that combines communication, scheduling, follow-up, or CRM work.
Is Lindy free to try?
Yes, Lindy offers a free plan with 400 credits/month. The paid plans start from $49.99/month.
Can I use Lindy for sales automation?
Yes, you can use Lindy for sales automation. You’ll find plenty of sales-specific templates that you can use or customize for your workflows.
Is it safe to ask AI about sensitive topics?
You can ask AI anything as long as it doesn’t violate its policies or guidelines. If you ask something extremely explicit, it may not respond. You should be mindful of the data you share.
Does Lindy support custom agent building?
Yes, Lindy supports custom agent building without coding.
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