AI app for marketing · no coding needed
Multi-source marketing evidence reporting workspace
Reduce manual report assembly while keeping every figure traceable to its source.
Made for: Marketing, sales and business teams producing recurring performance reports from several data sources
What it does for you
The problem
Performance data sits in several tools, so teams compile reports by hand, miss anomalies and cannot trace a number back to its source.
What it gives you
Reviewer-approved reports and insights linked to source records
What you give it
Connected marketingsalesbusiness datauser-supplied documentsreporting rules
Build your own version of Two Minute Reports, v0 report and more
One app with what these 3 AI tools do, yours to keep and change: Two Minute Reports, v0 report, Narrative BI.
Everything these tools do, in one app
- Multi-source data integration Pulls data from multiple marketing, sales, and business sources so users don't have to compile it manually.Found in Two Minute Reports, v0 report, Narrative BI
- Automated report generation Creates detailed reports automatically instead of requiring users to build them by hand.Found in Two Minute Reports, v0 report, Narrative BI
- AI-driven insights Uses artificial intelligence to surface trends, anomalies, and opportunities from the data.Found in Two Minute Reports, Narrative BI
- Customizable report templates Lets users tailor report layouts and branding to fit their needs.Found in Two Minute Reports
- Live performance dashboards Provides interactive dashboards to track multi-channel performance and campaign progress in real time.Found in Two Minute Reports
- URL or company name input Starts report creation by simply entering a URL or company name.Found in v0 report
- User document integration Incorporates user-supplied documents and insights into the generated reports.Found in v0 report
- Multiple document types Supports generating essays, literature reviews, research papers, and technical documentation.Found in v0 report
- PDF summarization Summarizes lengthy PDF documents automatically.Found in v0 report
- Book summary generation Creates summaries of books.Found in v0 report
- No technical expertise needed Allows users from various backgrounds to use the tool without technical skills.Found in v0 report
- Anomaly detection and alerts Monitors data for unusual patterns and flags critical insights in real time.Found in Narrative BI
- Scheduled reports Automatically delivers reports on a regular schedule to keep stakeholders informed.Found in Narrative BI
- In-narrative collaboration Enables team discussions directly within the generated insights.Found in Narrative BI
How it works, step by step
- Connect marketing, sales and business data sources
- Start a report from a URL or company name
- Ingest user-supplied documents and notes
- Summarize long PDFs and books
- Generate essays, literature reviews, research papers and technical documentation
- Build detailed reports automatically
- Apply customizable templates and branding
- Render live multi-channel performance dashboards
- Surface trends, anomalies and opportunities
- Flag unusual patterns and alert owners in real time
- Schedule recurring report delivery
- Support in-narrative team discussion
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved 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 Multi-source marketing evidence 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 Multi-source marketing evidence 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 links3 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 criteria12 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 manual report assembly while keeping every figure traceable to its source. For marketing, sales and business teams producing recurring performance reports from several data sources, convert connected marketing, sales and business data, user-supplied documents and reporting rules into reviewer-approved reports and insights linked to source records. The benefit is a testable hypothesis, measured through accepted reports per analyst hour and corrections after report approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect connected marketing, sales and business data, user-supplied documents and reporting rules, then follow this sequence: 1. Connect marketing, sales and business data sources. 2. Start a report from a URL or company name. 3. Ingest user-supplied documents and notes. 4. Summarize long PDFs and books. 5. Generate essays, literature reviews, research papers and technical documentation. 6. Build detailed reports automatically. 7. Apply customizable templates and branding. 8. Render live multi-channel performance dashboards. 9. Surface trends, anomalies and opportunities. 10. Flag unusual patterns and alert owners in real time. 11. Schedule recurring report delivery. 12. Support in-narrative team discussion. Resolve uncertain cases with qualified reviewers, approve reviewer-approved reports and insights linked to source records, and measure accepted reports per analyst hour and corrections after report approval against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs 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. One fixed reporting period and approved source set; final metric definitions and publication checks remain analytical. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, metric definitions and usage permissions. Named owners approve substantive changes and publication scope. One fixed reporting period and approved source set; final metric definitions and publication checks remain analytical. 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 reporting period and approved source set; final metric definitions and publication checks remain analytical. Implement one approved input format, a bounded representative case set and the first two task modules: connect marketing, sales and business data sources; start a report from a URL or company name. Support the remaining modules with operator review: ingest user-supplied documents and notes; summarize long PDFs and books; generate essays, literature reviews, research papers and technical documentation; build detailed reports automatically; apply customizable templates and branding; render live multi-channel performance dashboards; surface trends, anomalies and opportunities; flag unusual patterns and alert owners in real time; schedule recurring report delivery; support in-narrative team discussion. 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
Buyer-owned marketing, sales and business systems, authorized document stores and permitted research sources. Cloud data storage, spreadsheet and BI import/export and reporting 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, Editable report workspace, Client proof and delivery. Use a thumbnail gallery for reports, a large central editing canvas, and a right-hand panel for sources, metrics, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant chart or paragraph. Make the task-specific outcome reviewer-approved reports and insights linked to source records visible beside its evidence, review state and value baseline.
