Common pitfalls

If an answer comes back thin, vague, or empty, it's usually one of these. Each is the flip side of a habit in Writing good queries.

You started with a bland catch-all

"Summarize Discord this week" gives you a summary, but not an answer to any particular question — because you didn't ask one. Add a goal: what decision is this for, what are you hoping to find?

You left out the context

Kinn can only weight an answer toward your goal if it knows the goal. If you ask for metrics without saying you're optimizing a campaign budget, you'll get metrics — not a recommendation. Say what the question is for.

You were vague about version or date

Leave the timeframe open and you'll get feedback mixed across patches, including problems that have already been fixed. Naming the current version, patch, or date range is what lets Kinn cleanly set aside outdated feedback — one of its biggest advantages over web-grounded tools.

You only looked at one platform

A single source tells you what one audience thinks, and every platform has its own bias — Discord skews passionate, Reddit more neutral, Steam toward strong reactions, social more casual. Asking across platforms is where the most interesting signal lives.

You're drowning in text

If the answer is more than you can skim, ask Kinn to visualize it. A chart or a tight summary often conveys the result faster than paragraphs.

You needed depth and used standard mode

Standard mode is great for everyday questions. When accuracy and thoroughness really matter, switch to deep research — it runs more services and digs deeper.

When in doubt, ask the agent

If you're stuck on how to phrase something, hand the problem to the agent and let it suggest a direction. It's more capable than a blank query box makes it look.

The practical ones

• The source hasn't finished syncing — check its status before reading too much into an empty answer.
• The data simply isn't there — if no one's discussing a topic in your connected sources, consider connecting another source.