I've been experimenting with LLMs + Python/Jupyter + Agent Frameworks to see if an AI "team" can handle the kind of exploratory business data analysis you would normally give to a junior analyst. It's not for "give me the top 10 campaigns by CTR." It's for: - Predict next quarter’s sales from 2 years of data - Identify profit drivers in Amazon sales and model how to increase net profit by 10% - Build custom customer cohorts from sales + activity data How it works (high-level): - Planner agent interprets the business question, breaks it into steps, interpret python execution results - Coding agent runs pandas / matplotlib / other libraries inside an isolated Docker container running Jupyter - Report agent creates formatted PDF reports/narratives Early learnings: - With a good prompt, it can do much of what a 1–2 year analyst could - Industry-specific system prompts (context) improves outcome Here is a screencast of how an exploration looks like: This is the read-only version of the exploration: https://app.askprisma.ai/share/public_0kjM3bN3_UAVyfG_3s3kaQ I would love feedback on: - Which industries would find daily, sticky use? - Whether you would prefer cloud, self-hosted, or dedicated instance? - How you should price something like this? - How soon should I focus on a specific vertical or ecosystem (eg: shopify, or a specific industry) P.S: I’m open to collaborations, especially with folks who have deep industry expertise and believe a system like AskPrisma will serve the industry well. Email: akshay [at] askprisma.ai |