AI app for it and development · no coding needed
Incident reporting assistant
A verifiable incident timeline with uncertainty explicitly preserved.
Made for: Reliability teams at software companies
What it does for you
The problem
Incident reviews require time-consuming timeline reconstruction.
What it gives you
Reviewed incident report and action register
What you give it
Authorized incident messageslogschange records
How it works, step by step
- Align timestamps
- Group response actions
- Separate facts from hypotheses
- Draft impact summaries
- Capture follow-up owners
- Export reviewed reports
What you see on screen
- Event timeline
- evidence links
- report editor
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 Incident reporting assistant 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 Incident reporting assistant 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 links1 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare23 KB
- prompt-vps.mdThe same build on your own server (Docker)23 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 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
For reliability teams at software companies, turn authorized incident messages, logs and change records into reviewed incident report and action register. Address the recurring problem: incident reviews require time-consuming timeline reconstruction. The pilot measures timeline corrections and report turnaround against the buyer's current method, before the larger build.
Collect a structured brief and source material, identify unanswered questions, approve an outline, generate a draft, verify claims, gather reviewer edits, approve a final version and export the agreed formats. Start with authorized incident messages, logs and change records and finish with reviewed incident report and action register.
How the AI works
Extract and organize information, propose structure, draft prose and adapt approved content to audiences. Attach evidence to factual claims. Keep names, dates, amounts and quoted wording linked to their source. Editors resolve ambiguity and approve publication.
Safeguards
Protect secrets, customer data and source code. Use controlled environments, technical review and a recoverable deployment process. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
What to build first
Begin with reliability teams at software companies and one recurring use case. Build the first two modules: align timestamps; group response actions. Provide operator assistance for the third module: separate facts from hypotheses. Deliver reviewed incident report and action register through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
What it can connect to
Authorized repositories, technical documentation, application APIs and logs. Document storage, word processor export, content management systems and approved publishing channels. Pilot with uploads and downloadable drafts before adding write integrations. These are candidate integration categories, not verified supported connectors.
The screens in detail
Use a project list and editorial calendar beside a document editor. Keep original material and supporting passages in a collapsible side panel. Show outline, draft, review and approved stages. Provide tracked edits, comments, version comparisons and an export preview that reflects the final delivery format. In this product, the first view is event timeline, followed by evidence links and report editor.
