Complete AI Training

AI app for marketing · no coding needed

Evidence-backed marketing data query and reporting workspace

Reduce manual query and report assembly while keeping every number traceable to its source.

Made for: Marketing and analytics teams answering recurring questions across several data sources

What Evidence-backed marketing data query and reporting workspace looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Business data sits in separate databases, marketing platforms and files, so recurring questions need manual exports, hand-written queries and repeated report rebuilding.

What it gives you

Reviewed answers, charts and reports linked to their queries and source records

What you give it

Authorized database connectionsmarketing platform accountsspreadsheetsfile sources

Build your own version of Airbook AI, BlazeSQL and more

One app with what these 5 AI tools do, yours to keep and change: Airbook AI, BlazeSQL, Eliott - Ask anything about your data, Sheet0, Daydream.

Everything these tools do, in one app

  • Natural language querying Allows users to ask questions in plain language and get answers without writing code or SQL.Found in Airbook AI, BlazeSQL, Eliott - Ask anything about your data
  • Data source connections Connects to various databases, marketing platforms, and tools to pull in data automatically.Found in Airbook AI, BlazeSQL, Eliott - Ask anything about your data and 1 more
  • SQL query generation Automatically writes SQL queries based on user input, which can be edited for control.Found in Airbook AI, BlazeSQL
  • Visualization and dashboards Creates charts and dashboards from data, either through prompts or manual configuration.Found in Airbook AI, BlazeSQL
  • Data cleaning and transformation Automatically cleans and transforms data to make it ready for analysis.Found in Airbook AI, Sheet0
  • Multi-source data joins Combines data from different sources into comprehensive reports.Found in Airbook AI
  • Workflow activation Pushes data segments into growth and marketing tools for operational use.Found in Airbook AI
  • Customizable query templates Saves and reuses query templates for recurring data requests.Found in BlazeSQL
  • Real-time query results Displays query results immediately within the platform.Found in BlazeSQL
  • Marketing platform integration Connects specifically to marketing platforms like GA4, Meta Ads, and Google Ads.Found in Eliott - Ask anything about your data
  • Instant marketing insights Provides quick access to marketing performance metrics and insights.Found in Eliott - Ask anything about your data
  • Cloud browser automation Automatically collects data from websites, files, and APIs in parallel.Found in Sheet0
  • Auditable processing steps Allows inspection of underlying SQL or processing steps for transparency and troubleshooting.Found in Sheet0
  • Spreadsheet interface Provides a familiar Excel-like grid for viewing and interacting with data.Found in Sheet0
  • One-click share and export Enables easy sharing and exporting of data outputs to other workflows.Found in Sheet0
  • Creative writing generation Generates text-based content such as stories, articles, and brainstorming ideas.Found in Daydream
  • Customizable input prompts Allows users to guide content creation with specific prompts.Found in Daydream
  • Multiple writing styles Supports various writing styles and tones for generated content.Found in Daydream

How it works, step by step

  1. Accept plain-language questions about business data
  2. Connect to authorized databases, marketing platforms and file sources
  3. Generate editable SQL for each question
  4. Show query results immediately in a spreadsheet-style grid
  5. Build charts and dashboards from prompts or manual configuration
  6. Clean and transform pulled data before analysis
  7. Join records across multiple sources into one report
  8. Save and reuse query templates for recurring requests
  9. Pull marketing performance metrics from connected platform accounts
  10. Collect data from permitted websites, files and APIs through browser automation
  11. Expose the SQL and processing steps behind each result
  12. Generate written summaries and commentary in a chosen style from reviewed numbers
  13. Guide generated text with customizable input prompts
  14. Push approved data segments into connected marketing and growth tools
  15. Export and share outputs to other workflows
  16. Compare the reviewed result with the recorded baseline and value assumptions
  17. Capture corrections and named-owner approval before consequential use
  18. Export a versioned reviewed answer, chart or 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 marketing data 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.

Sign in Become a member

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 marketing data query and reporting workspace with you.

Have Nexibeo build it

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 links4 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
  • prompt-vps.mdThe same build on your own server (Docker)26 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
  • demo/index.htmlThe working demo on sample data202 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 manual query and report assembly while keeping every number traceable to its source. For marketing and analytics teams answering recurring questions across several data sources, convert authorized database connections, marketing platform accounts, spreadsheets and file sources into reviewed answers, charts and reports linked to their queries and source records. The benefit is a testable hypothesis, measured through accepted answers per analyst hour and corrections after report delivery; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect authorized database connections, marketing platform accounts, spreadsheets and file sources, then follow this sequence: 1. Accept plain-language questions about business data. 2. Connect to authorized databases, marketing platforms and file sources. 3. Generate editable SQL for each question. 4. Show query results immediately in a spreadsheet-style grid. 5. Build charts and dashboards from prompts or manual configuration. Resolve uncertain cases with qualified reviewers, approve reviewed answers, charts and reports linked to their queries and source records, and measure accepted answers per analyst hour and corrections after report delivery against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate queries, charts and written summaries for the 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 source access by default; metric definitions and final numbers remain analyst-owned. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, metric definitions, query accuracy and usage permissions. Analysts approve substantive changes and publication scope. Read-only source access by default; metric definitions and final numbers remain analyst-owned. 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: Read-only source access by default; metric definitions and final numbers remain analyst-owned. Implement one approved source type, a bounded representative question set and the first two task modules: accept plain-language questions about business data; connect to authorized databases, marketing platforms and file sources. Support the remaining modules with operator review: generate editable SQL, show results in a grid, build charts, clean and join data, save templates, expose processing steps, generate written summaries, push approved segments, export and share. 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

Authorized databases, marketing platform accounts, spreadsheets and permitted file sources. Cloud storage, BI and reporting destinations, and marketing execution tools. 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: Source connections and permissions, Query and evidence workspace, Report and delivery. Use a thumbnail gallery for saved questions and reports, a large central canvas for query, result grid and chart, and a right-hand panel for sources, definitions, filters and comments. Let users compare query versions and result sets 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 reports linked to their queries and source records visible beside its evidence, review state and value baseline.