正在加载视频...

视频加载失败

❇️Briefer (YC S23) is launching their AI analyst—an intelligent agent that lets anyone on your team turn data into insights. It's not just a text-to-SQL chatbot but an agent that uses Briefer's data workspace to generate precise & reviewable answers.

18,266 次观看 • 1 年前 •via X (Twitter)

10 条评论

Nayak Satya 的头像
Nayak Satya1 年前

@briefercloud Text to sql it seems agents will take over backend for sure in future congrats to the whole team best wishes

Wonderchat 的头像
Wonderchat2 年前

Automate up to 70% of your customer support today. Save time and help your users find answers quickly. Try now at

victor 的头像
victor1 年前

@briefercloud So it's like having a data scientist in your pocket, minus the coffee addiction and strong opinions about Python vs R 📊🤖 Jokes aside, love how it focuses on reviewable answers - because trusting AI blindly with data analysis is like letting your cat do your taxes 🐱📈

Noble Doctor 的头像
Noble Doctor1 年前

@briefercloud Cool...

WitArist 的头像
WitArist1 年前

@briefercloud @ycombinator, this sounds like a game changer for data analysis! 🚀

FairyFrens ⦼ 的头像
FairyFrens ⦼1 年前

@briefercloud exciting innovations ahead.

R. 的头像
R.1 年前

@briefercloud So cool. Agents are the future.

neo 的头像
neo1 年前

@briefercloud That's cool, but I'm all about building agents that get people, not just data. My focus is on making social media smarter, not just another tool for work.

Chatbit 的头像
Chatbit1 年前

@briefercloud Finally, an AI that can make sense of my spreadsheets! Now if only it could also make coffee... ☕️

Michelle Ma 的头像
Michelle Ma1 年前

@briefercloud @ycombinator @sama @briefercloud This will replace so many workers. Coolness. Can it work within excel? Or will it crush Excel?

相关视频

How to Create a Professional Data Analysis Report—Even If You’re Not a Data Specialist Today on Agent 101—MuleRun’s first review series where real users test AI agents in real work scenarios—we introduce “Smart Q,” a data analysis expert agent designed to turn anyone into a data-savvy reporter. 1. Team Expertise Smart Q was developed by a team with over 10 years of data analysis experience at a giant corporation. This background ensures that the agent delivers insights and reports that meet professional standards. 2. The Traditional Approach & Its Pain Points Traditionally, creating a data analysis report required deep expertise in tools like Excel, SQL, or Python. You’d need to clean the data, run calculations, generate visualizations, and summarize findings—all of which is time-consuming and prone to human error. For non-specialists, this process is often inaccessible and intimidating. 3. How Smart Q Uses AI—and What Problems It Solves With Smart Q, the entire reporting process is simplified into three steps: upload your raw data, ask a question, and receive charts, key insights, and a polished report—all generated by AI expert. Its key advantages include: ✅Accessibility:No technical background required. ✅Speed:Get a complete analysis in minutes, not hours. ✅Clarity:Receive expert-level conclusions presented in clear, actionable language. Want to become a tester for future AI agents? Engage with this video—comment, like, or share—and we’ll be sure to notice your support! 🎥 See Smart Q in action. #mulerun #mulerun4U #SmartQ

MuleRun

30,549 次观看 • 8 个月前