AI app for it and development · no coding needed
Evidence-backed dashboard and anomaly reporting workspace
Reduce tool sprawl and manual data handling while keeping one owned workspace for dashboards and anomaly evidence.
Made for: Data, IT and operations teams that turn raw logs and business data into dashboards and decisions
What it does for you
The problem
Dashboards, anomaly detection, log retention and reporting live in separate rented tools, so data is copied between systems and no one owns the full picture.
What it gives you
Reviewed dashboards and anomaly reports linked to source evidence
What you give it
Connected data sourcesfull logsbusiness metricsteam messaging channels
Build your own version of Polaris, Flarehawk and more
One app with what these 4 AI tools do, yours to keep and change: Polaris, Flarehawk, INSINTO, Greip: Dashboard Revamp.
Everything these tools do, in one app
- Data cleaning automation Automatically cleans and preprocesses raw data to prepare it for analysis.Found in Polaris, INSINTO
- Interactive dashboards Provides interactive dashboards for visualizing key metrics and data.Found in Polaris, INSINTO
- Data source integration Connects with popular data sources and platforms for seamless import and export.Found in Polaris, INSINTO, Greip: Dashboard Revamp
- Collaboration tools Enables team members to share reports and insights and collaborate in real time.Found in Polaris, INSINTO
- Natural language query Allows users to ask questions in plain language and get instant insights.Found in Polaris
- Predictive analytics Uses advanced analytics to forecast trends and outcomes.Found in INSINTO
- Automated layout optimization Automatically organizes dashboard elements for efficient layout.Found in Greip: Dashboard Revamp
- Customizable themes and templates Offers customizable themes and templates to match branding or preferences.Found in Greip: Dashboard Revamp
- Interactive data widgets Provides interactive widgets that allow dynamic filtering and exploration of data.Found in Greip: Dashboard Revamp
- Real-time preview Shows a real-time preview of changes to facilitate quick adjustments.Found in Greip: Dashboard Revamp
- Per-tenant ML model Builds a machine learning model that learns each environment's baseline and scores anomalies accordingly.Found in Flarehawk
- Real-time threat detection Detects threats in real time with automated investigation workflows.Found in Flarehawk
- One-click remediation Provides one-click fixes for common remediations.Found in Flarehawk
- Full log ingestion Ingests full logs without sampling.Found in Flarehawk
- Long-term log retention Retains logs for five years for historical analysis and audits.Found in Flarehawk
- Built-in SSO Includes single sign-on out of the box.Found in Flarehawk
- Team messaging integration Integrates with team messaging platforms for alerting and collaboration.Found in Flarehawk
- Short model warm-up Requires only a short warm-up period (minutes to an hour) before providing useful insights.Found in Flarehawk
How it works, step by step
- Clean and preprocess raw data before analysis
- Connect popular data sources for import and export
- Ingest full logs without sampling
- Retain logs for long-term historical analysis and audits
- Build interactive dashboards for key metrics
- Provide interactive widgets with dynamic filtering
- Organize dashboard elements with automated layout optimization
- Apply customizable themes and templates
- Show a real-time preview of changes
- Answer plain-language questions with instant insights
- Forecast trends and outcomes with predictive analytics
- Train a per-tenant model that learns each environment's baseline and scores anomalies
- Detect threats in real time with automated investigation workflows
- Offer one-click fixes for common remediations
- Share reports and collaborate in real time
- Send alerts through team messaging platforms
- Sign in with built-in SSO
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed dashboard and anomaly 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 dashboard and anomaly 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 dashboard and anomaly 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 links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare29 KB
- prompt-vps.mdThe same build on your own server (Docker)29 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data201 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 tool sprawl and manual data handling while keeping one owned workspace for dashboards and anomaly evidence. For data, IT and operations teams that turn raw logs and business data into dashboards and decisions, convert connected data sources, full logs and business metrics into reviewed dashboards and anomaly reports linked to source evidence. The benefit is a testable hypothesis, measured through accepted dashboards per analyst hour and corrections after review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect connected data sources, full logs and business metrics, then follow this sequence: 1. Clean and preprocess raw data before analysis. 2. Connect popular data sources for import and export. 3. Ingest full logs without sampling. 4. Retain logs for long-term historical analysis and audits. 5. Build interactive dashboards for key metrics. 6. Provide interactive widgets with dynamic filtering. 7. Organize dashboard elements with automated layout optimization. 8. Apply customizable themes and templates. 9. Show a real-time preview of changes. 10. Answer plain-language questions with instant insights. 11. Forecast trends and outcomes with predictive analytics. 12. Train a per-tenant model that learns each environment's baseline and scores anomalies. 13. Detect threats in real time with automated investigation workflows. 14. Offer one-click fixes for common remediations. 15. Share reports and collaborate in real time. 16. Send alerts through team messaging platforms. 17. Sign in with built-in SSO. Resolve uncertain cases with qualified reviewers, approve reviewed dashboards and anomaly reports linked to source evidence, and measure accepted dashboards per analyst hour and 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 stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Per-tenant models require a short warm-up period of minutes to an hour before useful insights; final anomaly confirmation and remediation approval remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve data provenance, source attribution, access permissions and retention limits. Named owners approve anomaly confirmation, remediation and publication scope. One connected data source and one log source; final anomaly confirmation and remediation approval 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 connected data source and one log source; final anomaly confirmation and remediation approval remain human. Implement one approved input format, a bounded representative case set and the first two task modules: clean and preprocess raw data before analysis; connect popular data sources for import and export. Support the remaining modules with operator review: ingest full logs without sampling; retain logs for long-term historical analysis and audits; build interactive dashboards for key metrics; provide interactive widgets with dynamic filtering; organize dashboard elements with automated layout optimization; apply customizable themes and templates; show a real-time preview of changes; answer plain-language questions with instant insights; forecast trends and outcomes with predictive analytics; train a per-tenant model that learns each environment's baseline and scores anomalies; detect threats in real time with automated investigation workflows; offer one-click fixes for common remediations; share reports and collaborate in real time; send alerts through team messaging platforms; sign in with built-in SSO. 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 data sources, log streams and team messaging platforms. Cloud storage, identity providers for SSO and export 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: Source and connection setup, Editable dashboard canvas, Anomaly and report review. Use a thumbnail gallery for dashboards and reports, a large central canvas, and a right-hand panel for data fields, filters 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 finding. Make the task-specific outcome reviewed dashboards and anomaly reports linked to source evidence visible beside its evidence, review state and value baseline.
