AI app for it and development · no coding needed
Production incident triage and response coordination portal
Reduce time to coordinated resolution while keeping responders in control.
Made for: Engineering and operations teams managing production incidents and alerts

What it does for you
The problem
Alerts from many monitoring tools arrive duplicated and unprioritized, so responders coordinate across Slack, on-call schedules and ticketing by hand and resolution slows.
What it gives you
Reviewed incident record with grouped alerts, an assigned owner and a documented resolution
What you give it
Monitoring alertsservice topologyon-call schedulesrunbook rules
Build your own version of Temperstack, Rootly and more
One app with what these 6 AI tools do, yours to keep and change: Temperstack, Rootly, DrDroid, Sonarly, Alert Grouping by DrDroid, Alert Insights by Doctor Droid.
Everything these tools do, in one app
- Incident management Manages the lifecycle of production incidents from creation to resolution.Found in Rootly, DrDroid, Sonarly and 1 more
- Automated incident triage Automatically analyzes alerts and monitoring data to identify and prioritize incidents.Found in DrDroid, Sonarly, Alert Grouping by DrDroid
- Alert deduplication Groups related alerts to reduce noise and prevent duplicate notifications.Found in Sonarly, Alert Grouping by DrDroid
- Slack integration Integrates with Slack for notifications, incident response, and team coordination.Found in Rootly, DrDroid, Sonarly and 2 more
- Monitoring tool integrations Connects with various monitoring and observability tools to ingest alerts and data.Found in DrDroid, Sonarly, Alert Grouping by DrDroid and 1 more
- AI-driven insights Uses AI to provide analysis, recommendations, and summaries for incident resolution.Found in Rootly, DrDroid, Sonarly
- Automated remediation Automatically generates fixes or pull requests to resolve incidents.Found in Sonarly
- On-call management Manages on-call schedules and responder coordination.Found in Rootly
- Alert trend dashboard Provides a live dashboard showing alert trends and frequency over time.Found in Alert Insights by Doctor Droid
- Customizable rules Allows users to define custom rules and strategies for incident handling.Found in Temperstack, Alert Grouping by DrDroid
- Alert routing Routes alerts and notifications to the appropriate team channels.Found in Alert Grouping by DrDroid
- Noise suppression Suppresses known noise through rule-based filters.Found in Alert Grouping by DrDroid
- Automated incident setup Instantly sets up incidents with integrated tools like Zoom and Jira.Found in Rootly
- Team coordination Auto-invites responders and manages team roles during incidents.Found in Rootly
- Postmortem analysis Generates retrospectives and analyzes incidents for future improvements.Found in Rootly
- Real-time bid adjustment Adjusts advertising bids in real time based on performance metrics.Found in Temperstack
- Campaign analytics Provides detailed analytics and reporting to monitor campaign effectiveness.Found in Temperstack
- Alert notifications Notifies users of significant changes or performance issues.Found in Temperstack
How it works, step by step
- Ingest alerts from connected monitoring tools
- Group and deduplicate related alerts
- Triage and prioritize incidents from alert and monitoring data
- Manage the incident lifecycle from creation to resolution
- Notify and coordinate responders in Slack
- Route alerts to the appropriate team channels
- Suppress known noise through rule-based filters
- Manage on-call schedules and responder coordination
- Auto-invite responders and assign team roles
- Set up incidents with integrated tools such as Zoom and Jira
- Generate AI analysis, recommendations and summaries
- Generate candidate fixes or pull requests for review
- Show alert trends and frequency over time
- Apply customizable rules and strategies for incident handling
- Generate postmortem retrospectives from incident records
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed incident record 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 Production incident triage and response coordination portal 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 Production incident triage and response coordination portal 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 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 data196 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 time to coordinated resolution while keeping responders in control. For engineering and operations teams managing production incidents and alerts, convert monitoring alerts, service topology, on-call schedules and runbook rules into a reviewed incident record with grouped alerts, an assigned owner and a documented resolution. The benefit is a testable hypothesis, measured through time to acknowledge and resolve per incident and duplicate alert volume; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect monitoring alerts, service topology, on-call schedules and runbook rules, then follow this sequence: 1. Ingest alerts from connected monitoring tools. 2. Group and deduplicate related alerts. 3. Triage and prioritize incidents from alert and monitoring data. 4. Manage the incident lifecycle from creation to resolution. 5. Notify and coordinate responders in Slack. Resolve uncertain cases with qualified reviewers, approve reviewed incident record with grouped alerts, an assigned owner and a documented resolution, and measure time to acknowledge and resolve per incident and duplicate alert volume 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 connected monitoring stack and one notification channel; final incident decisions and remediation approvals remain with responders. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve responder judgment, source attribution, alert accuracy and usage permissions. Incident owners approve substantive changes and remediation scope. One connected monitoring stack and one notification channel; final incident decisions and remediation approvals remain with responders. 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 monitoring stack and one notification channel; final incident decisions and remediation approvals remain with responders. Implement one approved input format, a bounded representative case set and the first two task modules: ingest alerts from connected monitoring tools; group and deduplicate related alerts. Support the third module with operator review: triage and prioritize incidents from alert and monitoring data. 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
Monitoring and observability tools, Slack, Zoom, Jira and on-call schedule sources. Cloud alert storage, incident export and ticketing destinations. Start with file exchange and validate destination specifications before promising direct remediation. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Alert intake and grouping, Incident command view, Postmortem and review. Use a live queue of incoming alerts, a central incident timeline with grouped alerts and responder roles, and a right-hand panel for runbooks, service context and comments. Let users compare grouped alerts against raw sources. Display triaged, mitigating, resolved and reviewed states. Provide a shared incident link with comments anchored to the relevant alert or action. Make the task-specific outcome reviewed incident record with grouped alerts, an assigned owner and a documented resolution visible beside its evidence, review state and value baseline.





