Query Buddy

A text to SQL tool app idea: ask your database a question in plain words. One week build with Next.js, Postgres and Claude API, for teams who wait on someone else for data.

See the spec
Why now

Why now

Text-to-SQL is one of the busier corners of GitHub: well over 800 new repos mentioned it between Oct 5 and Nov 1, and SQL Chat is still active. Showing the SQL and keeping access read-only is what makes a small version safe to try.

Checked at the source on Nov 2, 2026. Points, comments, and stars are from that day. GitHub counts are keyword matches, so treat them as a rough guide.

The spec

The spec

Connect a read-only copy of your database, ask a question in plain words, review the SQL it writes, and see the answer as a table or a chart.

Build time

One weekAuth, storage, or AI · Level 4 of 5

Audience

Teams who wait on someone else for data.

Stack

  • Next.js
  • Postgres
  • Claude API

Fun factor

Nobody has to wait until Thursday for a one-line answer.

Core features

  • Read-only database connection
  • Plain-language question box
  • Editable SQL before it runs
  • Results as a table or simple chart

AI features

  • Writes SQL from your schema and question
  • Explains what the query does

Stretch goals

  • Saved questions and dashboards
  • Team access rules
  • Natural follow-up questions

First version

A sample database, one question box, and SQL you approve before it runs.

Build plan

Build plan

4 milestones, in the order you would build them. Saved ideas get this plan with checkboxes and notes.

Read the schemaLoad tables and columns from a read-only connection.
Start here
Write the SQLGenerate a query from the question.
Review and runShow the SQL, then run it with limits.
Show resultsA table, plus a chart when it fits.
The build prompt

The build prompt

Paste this into ChatGPT, Claude, Codex, or Cursor, then build the first version before anything else.

query-buddy.prompt.md
# Build Query Buddy

You are a senior full-stack engineer pairing with me on a side project. Build a working first version of the product described below. Read the whole brief before writing any code, then follow "How to work" at the end.

## The idea

**Query Buddy.** Connect a read-only copy of your database, ask a question in plain words, review the SQL it writes, and see the answer as a table or a chart.

**Why now:** Text-to-SQL is one of the busier corners of GitHub: well over 800 new repos mentioned it between Oct 5 and Nov 1, and SQL Chat is still active. Showing the SQL and keeping access read-only is what makes a small version safe to try.

**Who it is for:** Teams who wait on someone else for data

**What makes it fun:** Nobody has to wait until Thursday for a one-line answer.

## Scope

- **Build time:** One week. Size every decision to ship a working first version inside this window.
- **Technical ambition:** Level 4 of 5, "Auth, storage, or AI". Real accounts, stored user data, and model calls. Design the data model, auth, and access rules before the UI, and keep every secret server-side.
- **First version only.** Ship the core features below end to end. Stretch goals are listed so you can design around them, not build them.

## Core features (each must work end to end in the first version)

1. Read-only database connection
2. Plain-language question box
3. Editable SQL before it runs
4. Results as a table or simple chart

## AI features

- Writes SQL from your schema and question
- Explains what the query does

How to build them:
- Put every model call behind one server-side module with a typed interface, so the provider can change without touching the UI.
- Read API keys from environment variables only, and document each one in `.env.example`.
- Write prompts as versioned constants with clear instructions and an example of the expected output; parse and validate responses before using them.
- Handle timeouts, rate limits, and malformed output with a graceful fallback the user can understand. Stream responses where a wait would exceed a couple of seconds.
- Never let a feature depend on the model being perfect. Show the result, let the user edit or retry.

## Stretch goals (later, not in the first version)

- Saved questions and dashboards
- Team access rules
- Natural follow-up questions

Leave clean seams for these (a module boundary, a nullable column, a feature flag), but do not implement them unless I ask.

## Tech stack

Use exactly: Next.js, PostgreSQL, Claude.

Stay on current stable versions, follow each tool's official conventions, and add a library only when the standard library or the chosen stack cannot do the job cleanly. If part of this stack is a poor fit for a specific requirement, say so and propose the smallest change.

## Owner's notes

Written by me, the project owner. Treat these as requirements and preferences that override the generated material above when they conflict.

The first version should be exactly this, and no bigger: A sample database, one question box, and SQL you approve before it runs.

## Build plan (with saved progress)

0 of 4 steps complete. Resume at step 1: Read the schema. Before you start it, check what is already implemented so you do not repeat finished work.

1. **Read the schema** [not started]
   Load tables and columns from a read-only connection.

2. **Write the SQL** [not started]
   Generate a query from the question.

3. **Review and run** [not started]
   Show the SQL, then run it with limits.

4. **Show results** [not started]
   A table, plus a chart when it fits.

## Definition of done for the first version

- [ ] Read-only database connection works end to end, with real data, not a placeholder.
- [ ] Plain-language question box works end to end, with real data, not a placeholder.
- [ ] Editable SQL before it runs works end to end, with real data, not a placeholder.
- [ ] Results as a table or simple chart works end to end, with real data, not a placeholder.
- [ ] Every screen handles loading, empty, and error states.
- [ ] Typecheck, lint, and any tests pass, and the main user flow was exercised by hand.
- [ ] A README explains setup, environment variables, and how to run it locally.

## Quality bar

- Responsive from a phone to a desktop, keyboard-accessible, semantic HTML, visible focus states, labelled inputs, and sensible contrast.
- Loading, empty, and error states for every screen that reads or writes data. Errors say what happened and what to do next.
- Validate on the server, never trust the client, and keep secrets in environment variables with a committed `.env.example`.
- Type-safe end to end. No `any` without a comment explaining why.
- Small, readable modules named after what they do. No premature abstraction, no dead code, no TODOs left for later without a note.
- Sensible defaults over settings. If a choice is not in this brief, pick the simplest option that keeps the product coherent and say what you chose.

## How to work

1. **Read, then restate.** Summarize the product in three sentences and list your assumptions. Ask only the questions that block implementation. For everything else, decide and note the decision.
2. **Plan before code.** List the files and modules you will create, in build order, mapped to the core features. If a build plan is included above, use it instead: resume at the first step not marked done and check what already exists before touching it.
3. **Set up.** If a project already exists, inspect its code, instructions, and conventions first and build on them. Otherwise scaffold the stack above with linting, formatting, a typecheck script, `.env.example`, and a README stub.
4. **Model the data first.** Define the types, schema, and any migrations before the UI, so the shape of the product is settled early.
5. **Build in vertical slices.** Finish one core feature end to end (data, logic, UI) before starting the next. Keep the app runnable after every slice and commit each slice with a message that says what changed and why.
6. **Then the interface.** Apply the quality bar above to each screen as it lands, not as a final pass.
7. **Verify.** Run typecheck, lint, and tests. Exercise the main user flow by hand. Check each item in the definition of done and each acceptance criterion.
8. **Report.** Tell me what works, what you tested and how, what is not done, every setup step I must complete myself, and the three most useful next steps. Never claim a service, test, or flow was verified when it was not.

If you can edit and run the project, start implementing right after the short plan. If you cannot, give me concrete code and the exact commands to run for the next step.

Rules: keep the product name and the scope as written, do not invent features, prefer boring and proven choices, and stop to ask me when a decision would be expensive to reverse.

How to use

  1. Copy the prompt above.
  2. Open ChatGPT, Claude, or your AI editor and paste it into a new conversation.
  3. Build milestone one, run it, then move to the next. Add stretch goals only after the first version works.

Want ideas built around you instead? Generate four from your own interests, time, and stack.

Frequently asked questions

FAQ

Frequently asked questions

Answers on what Query Buddy is, how to build it, and where example ideas come from.

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