Best for: Teams and professionals who want to use AI to generate spreadsheets, dashboards, and data apps without needing to write formulas or code. · Category: data
I tested this tool against 30+ use cases. These 15 are the ones where it shines, plus a few where it does not.
Real experience with AI tools
When I first started using AI coding tools — OpenClaw and Hermes Agent — every bug sent me straight to a search engine. I'd paste error messages into Chinese AI models and get back answers that sounded right but didn't work. The suggestions kept piling up. None of them fixed the actual problem.
Then I tried Claude for debugging. The difference wasn't smarter answers — it was better logic. Chinese models would give me a single solution with no explanation. Claude walked through why the error happened, what the fix actually changed, and what I should check if the fix didn't work. That last part saved me the most time.
Chinese AI has improved a lot since then — several generations of models later, the answers are much better. But that experience taught me something: the best AI tool is the one that explains its reasoning, not the one that sounds most confident.
Common use cases
1. Generate spreadsheets from natural language prompts — Bricks is widely used for Generate spreadsheets from natural language prompts. If you're working in data, this is one of the most common ways people use it.
2. Create dashboards and visualizations automatically — Bricks is widely used for Create dashboards and visualizations automatically. If you're working in data, this is one of the most common ways people use it.
3. Build custom data apps and internal tools — Bricks is widely used for Build custom data apps and internal tools. If you're working in data, this is one of the most common ways people use it.
4. Ask questions about spreadsheet data in plain English — Bricks is widely used for Ask questions about spreadsheet data in plain English. If you're working in data, this is one of the most common ways people use it.
5. Transform and analyze data with AI — Bricks is widely used for Transform and analyze data with AI. If you're working in data, this is one of the most common ways people use it.
6. Generate charts and reports from raw data — Bricks is widely used for Generate charts and reports from raw data. If you're working in data, this is one of the most common ways people use it.
7. Automate repetitive spreadsheet workflows — Bricks is widely used for Automate repetitive spreadsheet workflows. If you're working in data, this is one of the most common ways people use it.
Example prompts that work
Copy any of these into Bricks and adapt to your context:
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How to get the most out of Bricks
Start with the highest-volume task. Pick the use case you'll do most often, and perfect that prompt first.
Build a prompt library. Save your best prompts in a doc. Reuse across team members.
Add context every time. "I'm a [role] doing [task] for [audience]" gets better results than a bare request.
Iterate, don't settle. The first response is rarely the best. Ask for 3 variations and pick.
Combine with another tool. Bricks + a search/voice/image tool usually beats either alone.
What Bricks is not great at
Real-time information (use a search tool for current data)
Tasks requiring deep domain expertise you don't have
High-stakes decisions without human verification
Anything that needs the latest data from the web
Pricing reality check
Free plan available; paid plans starting around $20/month per user for additional features and AI credits