Write effective AI Prompts for Claap meeting insights
Claap's AI is only as good as the question you ask it. A sharp, focused prompt pulls the exact insight you need in seconds. A vague one gives you a generic summary that you still have to dig through manually. The good news: writing better prompts is a skill you can pick up in about five minutes.
Here's how on : https://promptgallery.claap.io/
Build a strong prompt foundation
The most common mistake is asking for too much at once. "Summarize the meeting" tells the AI almost nothing about what you actually need. Instead, treat every prompt like a search query the more specific, the better.
❌ Too vague | ✅ Much better |
"Summarize the meeting." | "What were the key decisions made during the product roadmap discussion?" |
"Tell me everything about the feedback." | "What objections were raised during the client feedback discussion?" |
Add Context : Topic, Person, or Goal
The more context you give, the less the AI has to guess. Anchor your prompt to a specific participant, topic, or timeframe and you'll get a far more targeted answer.
Some examples that work well:
"What were Sarah's key points about the Q1 marketing strategy?"
"What updates did the product team share on the launch timeline?"
"What feedback did Alex give about the UX design proposal?"
Structure your Prompt for actionable output
Frame the prompt around an outcome, not a topic
Phrase your prompt to request a specific output a list of actions, a set of decisions, a named concern rather than a general overview of a topic.
Outcome-framed prompts give the AI a clear delivery target, which results in structured, usable answers rather than narrative summaries.
"What follow-up actions were assigned, and to whom?"
"What priorities were set for the engineering team for the next sprint?"
"What challenges did the sales team identify during the Q4 review?"
Use one prompt per question
If you need answers to multiple questions, submit them as separate prompts not combined into one.
Overloaded prompts force the AI to balance multiple objectives simultaneously, which reduces precision across all of them.
❌ Overloaded | ✅ Split it up |
"What decisions were made, who will follow up, and what are the deadlines?" | Prompt 1: "What decisions were made during the meeting?" Prompt 2: "Who is responsible for follow-up actions?" Prompt 3: "What deadlines were agreed upon?" |
Refine when results fall short
If the response misses the mark, don't rewrite the whole prompt from scratch, just identify the gap and fix one thing. Wrong participant? Add the name. Too broad? Narrow the topic. Missing a specific output? Ask for it explicitly.
Initial prompt | Revised prompt |
"What was discussed about budgeting?" | "What concerns were raised about the Q2 marketing budget?" |
Verify: The revised response should reference the specific topic, participant, or timeframe you added. If it still returns a general answer, add another keyword or narrow the scope further.
The short version
Be specific : vague prompts get vague answers
Add context : name the person, topic, or timeframe
Ask for an outcome : not just a subject
One question at a time : always
Refine incrementally : change one thing, see what improves