AI app for marketing · no coding needed
Evidence-backed data analysis and reporting workspace
Reduce the time from raw data to a shared, source-linked report while keeping every number traceable.
Made for: Analysts and operators in marketing, sales and operations teams who need answers from data without SQL or spreadsheet expertise
What it does for you
The problem
Raw data sits in spreadsheets, databases and web pages, and turning it into answers, charts and shareable reports requires SQL or spreadsheet skills the team does not have.
What it gives you
Reviewed answers, charts and scheduled reports with source references
What you give it
Connected databaseswarehousescloud servicesuploaded CSV filescaptured web pagesapproved source list
Build your own version of Morph 1.0, Querri 2.0 and more
One app with what these 10 AI tools do, yours to keep and change: Morph 1.0, Querri 2.0, HyperArc, BayesLab, Spreadsite, Aureo.io, Capalyze, The Analysis tool in Claude.ai, Bilbo, Dashboards by Equals.
Everything these tools do, in one app
- Natural language querying Lets users ask questions in plain English and get data answers without writing SQL or formulas.Found in Querri 2.0, HyperArc, Aureo.io and 3 more
- Automatic chart generation Turns data into charts or tables automatically so results are easy to interpret.Found in Querri 2.0, BayesLab, Capalyze and 2 more
- Interactive dashboards Provides drag-and-drop dashboards for arranging and refining visualizations without code.Found in Querri 2.0, HyperArc, Dashboards by Equals
- Report export and sharing Exports or shares finished reports and visuals with teammates or stakeholders.Found in Querri 2.0, BayesLab, Capalyze and 1 more
- Data source connectors Connects to databases, warehouses, and cloud services to bring data in.Found in Querri 2.0, HyperArc, BayesLab and 1 more
- Automated data cleaning Prepares raw files by cleaning and handling schemas before analysis.Found in BayesLab, Aureo.io
- Scheduled report refresh Regenerates analyses and reports automatically when underlying data updates.Found in BayesLab, Dashboards by Equals
- AI-generated summaries Writes narrative summaries that highlight key insights and context.Found in BayesLab, Dashboards by Equals
- Live web scraping Captures live web page content as seen in the browser and imports it for analysis.Found in Capalyze
- Source-linked answers Links generated answers back to the captured source data to reduce hallucination risk.Found in Capalyze
- CSV file analysis Analyzes uploaded CSV files directly inside the tool.Found in The Analysis tool in Claude.ai
- Script-based data processing Runs JavaScript on uploaded data for customized processing and deeper analysis.Found in The Analysis tool in Claude.ai
- Metabase integration Works as a Chrome extension layered on top of Metabase for querying and visualizing its data.Found in Bilbo
- Spreadsheet-to-dashboard conversion Instantly converts spreadsheet data into dynamic dashboards with live updates.Found in Dashboards by Equals
- Automated report distribution Schedules and sends reports automatically via Slack, email, and Google Slides.Found in Dashboards by Equals
- Access controls Provides secure sharing with fine-grained permissions for teammates, clients, or investors.Found in HyperArc, Dashboards by Equals
- Algorithm comparison Automatically compares many algorithms to pick the best model for the data.Found in Aureo.io
- Predictive modeling Runs regression, classification, and time series forecasting steps on data.Found in Aureo.io, BayesLab
How it works, step by step
- Connect databases, warehouses and cloud services
- Upload and analyze CSV files directly
- Clean and map schemas before analysis
- Ask questions in plain English and get data answers
- Generate charts and tables automatically from results
- Link every answer back to the captured source data
- Capture live web page content as seen in the browser
- Run JavaScript on uploaded data for custom processing
- Compare algorithms and pick the best model for the data
- Run regression, classification and time series forecasts
- Arrange and refine visualizations in drag-and-drop dashboards
- Write narrative summaries that highlight key insights
- Refresh analyses and reports when underlying data updates
- Distribute reports via Slack, email and Google Slides
- Apply fine-grained permissions for teammates, clients or investors
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed report with source references and unresolved questions
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 Evidence-backed data analysis 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 Evidence-backed data analysis 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 links5 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data198 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 time from raw data to a shared, source-linked report while keeping every number traceable. For analysts and operators in marketing, sales and operations teams, convert connected data sources, uploaded files and captured web pages into reviewed answers, charts and scheduled reports. The benefit is a testable hypothesis, measured through time from data request to accepted report and corrections after stakeholder review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, connect databases, warehouses, cloud services, uploaded files and captured web pages, then follow this sequence: 1. Connect databases, warehouses and cloud services. 2. Upload and analyze CSV files directly. 3. Clean and map schemas before analysis. 4. Ask questions in plain English and get data answers. 5. Generate charts and tables automatically from results. 6. Link every answer back to the captured source data. Resolve uncertain cases with qualified reviewers, approve reviewed answers, charts and scheduled reports, and measure time from data request to accepted report and corrections after stakeholder 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. One fixed data schema and approved source list; final interpretation and business decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve data provenance, source attribution, calculation accuracy and usage permissions. Data owners approve substantive changes and distribution scope. One fixed data schema and approved source list; final interpretation and business decisions remain human. 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 fixed data schema and approved source list; final interpretation and business decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: connect databases, warehouses and cloud services; upload and analyze CSV files directly. Support the third module with operator review: clean and map schemas before analysis. 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
Customer-owned databases, warehouses, cloud services, uploaded CSV files and permitted web sources. Cloud data storage, BI tool import/export and distribution 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: Data sources and connections, Ask and explore, Dashboard builder, Report and distribution. Use a left rail for sources and saved questions, a central canvas for charts and tables, and a right panel for source links, assumptions and comments. Let users compare chart versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant chart or number. Make the task-specific outcome reviewed answers, charts and scheduled reports visible beside its evidence, review state and value baseline.
