SQL workbench for querying Tines Records without API calls
Build a SQL workbench that lets people query Tines Records using ordinary SQL instead of hand-crafting API calls. The point is to make Records data explorable by anyone who knows SQL — no wrestling with API request bodies, internal IDs, or knowing which endpoint to hit. Trigger it as a web app served on an HTTP route (space-authenticated), with a companion backend on its own route. There's no cron or email trigger — everything is driven by the user in the browser. Build these pieces at a high level: A web console (the UI). A polished, data-terminal–style page with: a picker to choose which team/workspace to query, a live schema browser listing the available tables and their fields, a syntax-highlighted SQL editor with autocomplete (tables, fields, keywords, functions), and a results grid. Let users name and save queries and share them across the space. A query backend. Accepts the team selection and a SQL string, translates the SQL into the appropriate Records API call, runs it, and returns results. It should resolve human-readable table/field names to internal IDs automatically, and choose the right endpoint based on the query (a plain filtered/sorted/limited select vs. an aggregation or grouping). A saved-queries backend. Stores named queries in persistent storage and lists/updates/deletes them, shared across everyone in the space. Cache each team's schema and the team list in a volume for a few minutes so exploration stays fast, with a way to force-refresh. The workflow should be read-only against the data source apart from its own schema cache and saved-query storage. For the data source, use Tines Records on your Tines tenant — or swap in whatever record/database API your team uses. Authenticate to it through a connector rather than hardcoding credentials. Style the UI however fits your brand; a clean terminal aesthetic works well here. Tools used: Tines Records API (List + Query endpoints), Tines Teams List API, React (web UI), TypeScript, named volumes for schema cache and saved queries
What this prompt builds
A web-based SQL workbench that translates natural SQL queries into Tines Records API calls, removing the need to hand-craft JSON payloads or memorize endpoint parameters. Users select a team, browse live schemas, write SQL with autocomplete, and view results in a grid—all authenticated and shared across the workspace. The workflow caches schemas for speed and stores named queries for reuse.
The problem
Teams that work with Tines Records data face friction when they need to query it: building JSON filter payloads, remembering endpoint parameters, and referencing documentation to understand schemas. SQL is already a common language for querying data, but reaching Records data requires wrestling with API request bodies and internal IDs. This workflow solves that by providing a web-based SQL workbench that translates ordinary SQL into Records API calls automatically. Users choose a team, browse live schemas, write SQL with autocomplete, and see results in a grid—no hand-crafting requests, no hunting for the right endpoint.
Solution and impact
The workflow makes Tines Records data explorable by anyone who knows SQL, regardless of API experience. It resolves human-readable table and field names to internal IDs, chooses the correct endpoint based on the query type, and caches schemas for fast exploration. Teams can name, save, and share queries across the workspace, turning ad-hoc data pulls into repeatable, collaborative workflows and cutting the time spent on manual API work.