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Find products that meet exact specs

Only the models that meet each of your hard specs, checked on the maker's data sheet.

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

What it does

The task

Find product type models that meet all these specs: specs, for at most budget. Check each spec on the maker's data sheet, because store filters are often wrong. Read at most 40 models and keep only the ones that meet every spec. Put them in a new Google Sheet with the model, each spec, the lowest price, the store and the link, the cheapest first. Tell me which spec removed the most models.

  • It works in Google Shopping, Best Buy, any online store and Google Sheets, 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 typeThe kind of productLaptop
specsThe specs that each model must meet32 GB RAM, 14-inch screen, under 1.4 kg, 2 USB-C ports with charging, Linux support
budgetThe most you want to pay$1,500

What you get back

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

Sheet Laptop specs: 5 of 40 models meet all the specs

ModelRAMWeightUSB-CLinuxLowest priceStore
Corvex Book 14 Pro32 GB1.32 kg2maker certified$1,249Best Buy
Arlo Slate 14 Gen 332 GB1.36 kg2maker certified$1,329Kestrel Electronics
Novu Air 1432 GB1.29 kg3community tested$1,399Novu store

2 more rows in the sheet

The spec that removed the most models: weight (21 models are over 1.4 kg), then RAM (9 models have 16 GB only)

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 3 blanks

    Type product type, specs and budget. 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 Laptop models that meet all these specs: 32 GB RAM, 14-inch screen, under 1.4 kg, 2 USB-C ports with charging, Linux support, for at most \$1,500. Check each spec on the maker's data sheet, because store filters are often wrong. Read at most 40 models and keep only the ones that meet every spec. Put them in a new Google Sheet with the model, each spec, the lowest price, the store and the link, the cheapest first. Tell me which spec removed the most models."

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 products that meet exact specs" template with product type = Laptop; specs = 32 GB RAM, 14-inch screen, under 1.4 kg, 2 USB-C ports with charging, Linux support; budget = $1,500.

Setup for other agents: AI agents.

The tool call

{
  "name": "run_task",
  "arguments": {
    "task": "Find Laptop models that meet all these specs: 32 GB RAM, 14-inch screen, under 1.4 kg, 2 USB-C ports with charging, Linux support, for at most $1,500. Check each spec on the maker's data sheet, because store filters are often wrong. Read at most 40 models and keep only the ones that meet every spec. Put them in a new Google Sheet with the model, each spec, the lowest price, the store and the link, the cheapest first. Tell me which spec removed the most models."
  }
}

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