AI app for it and development · no coding needed
Natural-language database query and reporting workspace
Reduce the queue of ad-hoc query requests while keeping data access under the owner's control.
Made for: Data analysts and operations teams querying production databases without writing SQL
What it does for you
The problem
Non-specialist staff depend on engineers for routine database questions, slowing decisions and creating a queue of ad-hoc query requests.
What it gives you
Reviewed query results, charts and scheduled reports
What you give it
Connected database schemasuploaded schema filesCSVExcel importsaccess rules
Build your own version of Chat2DB Local, TurboSQL and more
One app with what these 10 AI tools do, yours to keep and change: Chat2DB Local, TurboSQL, NeoBase - AI Copilot for Database, AskYourDatabase Desktop, Text2Query, Hoop.dev for Databases, Incerto, Meet Macro Terminal, Draxlr AI, Haiva Analytics for SQL Databases.
Everything these tools do, in one app
- Natural language querying Lets users type plain English to generate and run database queries.Found in Chat2DB Local, TurboSQL, NeoBase - AI Copilot for Database and 5 more
- Multiple database support Connects to several database systems such as MySQL, PostgreSQL, SQLite, and others.Found in Chat2DB Local, TurboSQL, NeoBase - AI Copilot for Database and 5 more
- Local or private processing Keeps data on the user's machine or in the browser without sending it to external servers.Found in Chat2DB Local, TurboSQL, Text2Query
- Chat interface Provides a conversational chat window for interacting with databases.Found in Chat2DB Local, AskYourDatabase Desktop
- Export results Saves query outputs in formats like CSV, JSON, or Markdown for sharing.Found in Chat2DB Local, Meet Macro Terminal
- Fast query execution Runs queries with minimal delay for quick results.Found in TurboSQL
- Keyboard-first workflow Enables shortcut-driven operation without relying on a mouse.Found in TurboSQL
- Schema-aware autocompletion Suggests code completions based on the database schema to speed up writing.Found in TurboSQL
- Data visualization Displays query results as charts or dashboards for easier interpretation.Found in NeoBase - AI Copilot for Database, AskYourDatabase Desktop, Haiva Analytics for SQL Databases
- Open source self-hosting Allows users to run the tool on their own infrastructure for data control.Found in NeoBase - AI Copilot for Database
- Large database handling Works with databases containing hundreds or thousands of tables.Found in AskYourDatabase Desktop
- Mock data insertion Inserts sample data into tables for testing or development.Found in AskYourDatabase Desktop
- Table schema design Helps create and modify database table structures within the app.Found in AskYourDatabase Desktop
- Excel integration Downloads data to Excel for further manipulation.Found in AskYourDatabase Desktop
- Custom schema upload Accepts uploaded database schemas to generate accurate queries.Found in Text2Query
- Multilingual support Allows users to ask questions in languages other than English, such as Spanish.Found in Text2Query
- Session query reuse Lets users modify and reuse queries within the same session.Found in Text2Query
- Schema visualization Shows database schema and relationships visually to aid design.Found in Hoop.dev for Databases
- Automated data manipulation Executes update, insert, or delete commands with minimal manual coding.Found in Hoop.dev for Databases
- Error detection Provides real-time feedback to catch and fix query mistakes.Found in Hoop.dev for Databases
- Context-aware AI agents Uses understanding of schemas and workloads to generate accurate queries.Found in Incerto
- Production troubleshooting Analyzes performance data to help diagnose and resolve database issues.Found in Incerto
- CSV and Excel import Imports data from CSV and Excel files for analysis alongside databases.Found in Meet Macro Terminal
- Terminal-based execution Runs queries and previews results directly in the command line.Found in Meet Macro Terminal
- Claude Code integration Connects with Claude Code to assist with query construction and interpretation.Found in Meet Macro Terminal
- Intuitive query builder Offers a visual interface to build queries without manual SQL scripting.Found in Haiva Analytics for SQL Databases
- Automated report generation Creates and schedules reports automatically from database data.Found in Haiva Analytics for SQL Databases
- Access control Manages user permissions and roles for team collaboration.Found in Haiva Analytics for SQL Databases
How it works, step by step
- Connect to MySQL, PostgreSQL, SQLite and other database systems
- Accept plain-English questions and generate runnable queries
- Keep processing local or on the owner's infrastructure
- Provide a conversational chat window for follow-up questions
- Suggest schema-aware completions while editing SQL
- Support keyboard-first operation with shortcuts
- Run queries with minimal delay and show progress
- Visualize results as charts and dashboards
- Export results to CSV, JSON, Markdown and Excel
- Import CSV and Excel files for analysis alongside databases
- Upload custom schemas to improve query accuracy
- Accept questions in languages other than English
- Reuse and modify queries within a session
- Show schema and relationships visually
- Execute reviewed update, insert and delete commands
- Detect query errors and suggest fixes in real time
- Analyze performance data to help diagnose database issues
- Insert mock data and design table schemas for testing
- Generate and schedule reports from database data
- Manage user permissions and roles for team collaboration
- Run queries and preview results from the terminal
- Connect with Claude Code for query construction and interpretation
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Natural-language database query and reporting workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Natural-language database query and reporting workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links6 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data199 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce the queue of ad-hoc query requests while keeping data access under the owner's control. For data analysts and operations teams querying production databases without writing SQL, convert connected database schemas, uploaded schema files, CSV and Excel imports and access rules into reviewed query results, charts and scheduled reports. The benefit is a testable hypothesis, measured through answered data questions per analyst hour and query corrections after review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect connected database schemas, uploaded schema files, CSV and Excel imports and access rules, then follow this sequence: 1. Connect to MySQL, PostgreSQL, SQLite and other database systems. 2. Accept plain-English questions and generate runnable queries. 3. Keep processing local or on the owner's infrastructure. Resolve uncertain cases with qualified reviewers, approve reviewed query results, charts and scheduled reports, and measure answered data questions per analyst hour and query corrections after review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Read-only access by default; write, update and delete commands require named-owner approval. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve data access boundaries, source attribution, query accuracy and usage permissions. Data owners approve substantive changes and write access scope. One approved database engine and read-only access; write, update and delete commands remain under named-owner approval. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One approved database engine and read-only access; write, update and delete commands remain under named-owner approval. Implement one approved input format, a bounded representative case set and the first two task modules: connect to MySQL, PostgreSQL, SQLite and other database systems; accept plain-English questions and generate runnable queries. Support the third module with operator review: keep processing local or on the owner's infrastructure. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Owner-controlled databases, uploaded schema files, CSV and Excel imports and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Connection and schema setup, Natural-language query workspace, Results and report builder. Use a connection list for databases, a central chat and query canvas, and a right-hand panel for schema, permissions and comments. Let users compare generated SQL against the executed query side by side. Display draft, changes requested and approved states. Provide a shared report link with comments anchored to the relevant chart or table. Make the task-specific outcome reviewed query results, charts and scheduled reports visible beside its evidence, review state and value baseline.
