AI app for it and development · no coding needed
Evidence-backed search and dashboard workspace
Reduce tool switching and manual query work while keeping every reported number traceable to its source.
Made for: Data, support and operations teams that search, monitor and report on live and stored data
What it does for you
The problem
Query writing, keyword and semantic search, live dashboards, log review and alerts sit in separate tools, so teams copy data between them and lose the evidence trail.
What it gives you
Reviewed queries, dashboards and alerts linked to source records
What you give it
Authorized datasetsevent streamslog feeds
Build your own version of queryinside, Semaphor and more
One app with what these 3 AI tools do, yours to keep and change: queryinside, Semaphor, datajoi.
Everything these tools do, in one app
- AI-assisted querying Helps users generate and optimize queries using AI.Found in datajoi
- Keyword and semantic search Combines traditional keyword searches with AI-powered semantic understanding to deliver accurate and relevant results.Found in queryinside
- Real-time dashboards Connects to various data sources to deliver up-to-date analytics.Found in Semaphor
- Real-time web analytics Monitors live visitor activity and tracks specific events like button clicks and form submissions with instant insights.Found in queryinside
- Log management dashboard Visualizes and filters log data through customizable templates to focus on critical information.Found in queryinside
- Real-time alerts Sends instant notifications for system issues.Found in queryinside
- Bulk data upload Allows uploading thousands of data points to begin searching immediately without delay.Found in queryinside
- Browser-based data exploration Enables direct data exploration and visualization within the browser interface.Found in datajoi
- No installation required Works as a lightweight Chrome extension with no installation or server setup required.Found in datajoi
- Multiple dataset support Supports multiple datasets for flexible analysis and comparison.Found in datajoi
- Intuitive user interface Designed for both beginners and experienced data analysts.Found in datajoi
- Lenses End users can personalize dashboard visuals and layouts without modifying any code.Found in Semaphor
- Dashboard-as-Code Dashboards can be managed through version control systems like GitHub.Found in Semaphor
- Contextual AI Generates insights using natural language that reflect specific business metrics.Found in Semaphor
- Deep customization Allows complete styling control, including fonts, colors, and overall look, to ensure dashboards align with brand identity.Found in Semaphor
How it works, step by step
- Connect authorized data sources and event streams
- Upload bulk data points for immediate search
- Generate and optimize queries with AI assistance
- Combine keyword and semantic search over multiple datasets
- Explore and visualize data in the browser
- Build real-time dashboards from connected sources
- Monitor live visitor activity and tracked events
- Visualize and filter log data through templates
- Send real-time alerts for defined system issues
- Let end users personalize dashboard visuals and layouts without code
- Manage dashboards as code through version control
- Generate natural-language insights tied to specific business metrics
- Apply full styling control for brand alignment
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed queries, dashboards and alerts linked to source records 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 search and dashboard 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 search and dashboard 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 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 tool switching and manual query work while keeping every reported number traceable to its source. For data, support and operations teams that search, monitor and report on live and stored data, convert authorized datasets, event streams and log feeds into reviewed queries, dashboards and alerts linked to their source records. The benefit is a testable hypothesis, measured through accepted queries and dashboards per analyst hour and corrections after publication; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect authorized datasets, event streams and log feeds, then follow this sequence: 1. Connect authorized data sources and event streams. 2. Upload bulk data points for immediate search. 3. Generate and optimize queries with AI assistance. 4. Combine keyword and semantic search over multiple datasets. 5. Explore and visualize data in the browser. 6. Build real-time dashboards from connected sources. 7. Monitor live visitor activity and tracked events. 8. Visualize and filter log data through templates. 9. Send real-time alerts for defined system issues. Resolve uncertain cases with qualified reviewers, approve reviewed queries, dashboards and alerts linked to source records, and measure accepted queries and dashboards per analyst hour and corrections after publication against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured queries, search results and natural-language insights 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 set of authorized data sources and event schemas; final query approval, alert thresholds and published metrics remain analyst and owner decisions. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, query accuracy and usage permissions. Data owners approve substantive changes and publication scope. One fixed set of authorized data sources and event schemas; final query approval, alert thresholds and published metrics remain analyst and owner decisions. 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 set of authorized data sources and event schemas; final query approval, alert thresholds and published metrics remain analyst and owner decisions. Implement one approved input format, a bounded representative case set and the first three task modules: connect authorized data sources and event streams; upload bulk data points for immediate search; generate and optimize queries with AI assistance. Support the remaining modules with operator review: combine keyword and semantic search over multiple datasets; explore and visualize data in the browser; build real-time dashboards from connected sources; monitor live visitor activity and tracked events; visualize and filter log data through templates; send real-time alerts for defined system issues. 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, event streams and log sources. Cloud storage, version control systems and notification 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 upload, Query and search workbench, Dashboard and alert builder, Review and delivery. Use a thumbnail gallery for datasets and dashboards, a large central query and result canvas, and a right-hand panel for sources, filters, AI suggestions and comments. Let users compare query versions and dashboard revisions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant chart or query. Make the task-specific outcome reviewed queries, dashboards and alerts linked to source records visible beside its evidence, review state and value baseline.
