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Find what customers complain about in a market

The most common complaints about current products, ranked by count, with short quotes and links.

  • You start it: When you start it
Use in CuiarRun from your AI agent

What it does

The task

Find reviews and discussions about product category. Read the 1 to 3 star reviews on G2, the App Store and Amazon, and the threads on Reddit from the last months months. Read at least 150 reviews or posts. Group the complaints into themes and count the posts for each theme. For each of the top 8 themes, give one short quote with its link and the products it applies to. Do not copy user names.

  • It works in Reddit, G2, App Store and Amazon, in the workspace you pick, and signs in with passwords from your Cuiar vault.
  • It runs once, when you start it.

What you give it

BlankWhat to giveExample
product categoryThe kind of product, as buyers name itBaby monitors with an app
monthsHow many months back to read12

What you get back

An example run with the example values above. Your run uses your own data.

Complaints about baby monitors with an app, last 12 months (184 reviews and posts)

1. App loses connection at night: 46. 'Disconnects at 3 am and gives no alarm' (Amazon)

2. Monthly fee for features that were free: 31. 'Now I pay to see the history' (App Store)

3. Parent unit battery lasts less than 6 hours: 22

4. Night video is too dark: 19

5. Too many false alerts for movement: 17

6. Setup needs 2.4 GHz Wi-Fi: 14

7. Camera stand breaks: 11

8. Slow support replies: 9

Products with the most complaints: Nestly Cam 2, CribView Plus

Run it in Cuiar

  1. 01

    Open it

    Click Use in Cuiar on this page. The side panel opens with the task in the composer.

  2. 02

    Fill in 2 blanks

    Type product category and months. Tab moves to the next blank.

  3. 03

    Run it

    Run sends it to the agent. Follow each step in the panel, and stop it at any time.

From the terminal

cuiar exec "Find reviews and discussions about Baby monitors with an app. Read the 1 to 3 star reviews on G2, the App Store and Amazon, and the threads on Reddit from the last 12 months. Read at least 150 reviews or posts. Group the complaints into themes and count the posts for each theme. For each of the top 8 themes, give one short quote with its link and the products it applies to. Do not copy user names."

Run it from your AI agent

Claude Code, Codex, Cursor and other MCP clients reach Cuiar at https://mcp.cuiar.com/mcp. Add the server one time, then ask for the task in plain words, or call run_task yourself.

1. Add Cuiar to Claude Code

claude mcp add --transport http cuiar https://mcp.cuiar.com/mcp

2. Ask your agent

Use the Cuiar tool run_task to run my "Find what customers complain about in a market" template with product category = Baby monitors with an app; months = 12.

Setup for other agents: AI agents.

The tool call

{
  "name": "run_task",
  "arguments": {
    "task": "Find reviews and discussions about Baby monitors with an app. Read the 1 to 3 star reviews on G2, the App Store and Amazon, and the threads on Reddit from the last 12 months. Read at least 150 reviews or posts. Group the complaints into themes and count the posts for each theme. For each of the top 8 themes, give one short quote with its link and the products it applies to. Do not copy user names."
  }
}

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