Data Analyst Agent

Paste your data. Get the story behind it, the one surprising thing, and three decisions to make this week. No "it depends."

An agent that breaks a big goal into steps and runs them in order instead of guessing.

An agent that runs mock interviews and tells you where you actually fumbled.

Turn your docs into a GPT that onboards new hires and answers their questions.

Feed it one piece, get ten. An agent that turns a blog post into a week of content.

A support agent that sounds like your brand, not a robot reading a script.

The unglamorous part nobody writes: what your agent should refuse to do.

Stop winging your custom GPT instructions. This builds the whole system prompt for you.

The reason most AI agents sound generic: nobody defined the persona. Fix that here.

An agent that triages your day and tells you what actually matters first.

Build a research agent that cites its sources and admits what it doesn't know.

An agent that drafts personalized outreach instead of the same template to everyone.

Get the data model right before it bites you. Describe your app — get tables, relationships, keys, and the design choices you'd regret skipping.

Describe what you need the cell to do. Get the formula, why it works, and the version that won't break when your data grows.

Hundreds of open-text responses you'll never read? Paste them — get the real themes, the quotes that capture them, and what to actually do about it.

Tracking everything means tracking nothing. Tell it your business — get the handful of numbers that actually matter and how to lay them out.

Paste your numbers. Get the one chart that tells the story — and the headline a busy boss will actually remember.

Did B actually win, or are you fooling yourself? Give it the numbers — get whether it's real, how confident, and what to do next. No false positives.

Building something and need fake-but-realistic data? Describe the shape — get a clean sample dataset with believable values and the edge cases to test.

Your query's slow and the EXPLAIN output is gibberish. Paste it — get what's actually happening, the bottleneck, and the index or rewrite that fixes it.

Paste your numbers over time — get a straight-talk projection of where they're heading, what could throw it off, and how much to trust it.

Clients don't read P&Ls. They read the story you tell about them.

Show funders and donors what their money actually did — clearly, honestly.

Say what you want in plain English, get clean SQL back — plus the gotchas (nulls, dupes, slow joins) you'd only find in production at 2am.