AI app for operations · no coding needed
Shift Cover Agent
The only cover system that combines live rota data, legal working-time rules and automated candidate messaging in one flow, so managers see a confirmed replacement or an alert without touching a phone.
Made for: Operations managers at care homes and hospitality groups
What it does for you
The problem
A team leader spends stressful hours phoning off-duty staff to cover a sick shift, and gaps often go unfilled.
What it gives you
Confirmed replacement or an early alert when cover is impossible, plus a full message and response log
What you give it
Live rota datastaff qualificationsworking-time rulessickness reports
How it works, step by step
- Import and refresh rota data from a spreadsheet or API
- Filter off-duty staff by required qualifications and legal working-time limits
- Rank candidates by priority rules such as recency and fairness
- Send personalised shift offers via SMS or WhatsApp with a one-tap accept link
- Automatically retry the next candidate after a decline or timeout
- Notify the manager only when cover is confirmed or all options are exhausted
What you see on screen
- Sickness report form
- candidate queue
- cover log
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 Shift Cover Agent 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 Shift Cover Agent 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 Cloudflare22 KB
- prompt-vps.mdThe same build on your own server (Docker)22 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data193 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 operations managers at care homes and hospitality groups, turn live rota data, staff qualifications and working-time rules into a confirmed replacement or an early alert when cover is impossible. Address the recurring problem: a team leader spends stressful hours phoning off-duty staff to cover a sick shift, and gaps often go unfilled. The value hypothesis is faster, compliant cover with less manager time; the pilot must establish whether that benefit is real.
Staff report sickness via form or SMS, the agent pulls the live rota, filters by role and legal rules, ranks candidates, sends an offer to the first match, waits for a response, moves to the next candidate if needed, and notifies the manager with a confirmed cover or an alert. Start with live rota data, staff qualifications and working-time rules and finish with a confirmed replacement or an early alert when cover is impossible.
How the AI works
Use language models to parse free-text sickness reports and generate personalised shift offer messages. Use rule-based logic to check qualifications and working-time limits against structured rota data. A manager reviews the candidate ranking and message log before any offer is sent, and confirms the final cover or alert.
Safeguards
Managers must approve every offer before it is sent in the pilot phase. The system must not contact staff outside agreed working hours, must not override legal working-time limits, and must not share staff contact details beyond the offer message.
What to build first
One care home department, one role type, rota imported from a spreadsheet, and a basic rule set for working-time limits. First two modules are the sickness report form and the candidate queue with manual manager review of every offer before it is sent.
What it can connect to
Start with spreadsheet rota exports, SMS and WhatsApp APIs, and a simple staff directory. Later connect to HR systems for qualifications and to payroll for shift records.
The screens in detail
Use a simple form for staff to report absence, a central queue showing ranked candidates with their qualifications and recent shifts, and a log of all messages sent and responses. Display candidate status as pending, accepted, declined or expired. Provide a manager summary dashboard showing cover rates and response times. In this product, the first view is sickness report form, followed by candidate queue and cover log.
