Build your Helpdesk with AI in under 5 minutes
Build a Zendesk-style helpdesk dashboard with a queue of tickets, status workflow (open / pending / resolved), priority filtering, agent assignment, response-time SLA tracking, and a per-customer history view — generated from a single prompt.
Comment ça fonctionne
Étape 1
Décrivez votre idée
Rédigez une invite en texte libre décrivant ce que vous souhaitez.
Étape 2
L'IA le construit
FloopFloop génère instantanément du code prêt pour la production.
Étape 3
Déployez et passez en ligne
Votre projet est hébergé sur son propre sous-domaine en quelques minutes.
Pourquoi créer avec l'IA plutôt que de faire appel à un développeur ?
| FloopFloop | Développeur traditionnel | |
|---|---|---|
| Délai de lancement | Moins de 5 minutes | 2 à 8 semaines |
| Coût | À partir de 0 $ | 5 000 $ - 50 000 $+ |
| Maintenance | Incluse | Prestataire récurrent |
Essayez ces invites
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Build a B2B SaaS support helpdesk. Ticket queue grouped by status (open / pending / resolved), priority colour bars (low / medium / high / urgent), filter strip at the top (status × priority × agent × age). Per-ticket detail page shows the original message + a threaded reply list + an internal-note field that customers don't see. SLA chip per row: 'on time' / '12h to breach' / 'overdue'.
Create a small-team helpdesk for a 3-person support crew. Round-robin auto-assign new tickets across the three agents (with the option to claim or reassign). Per-agent dashboard view shows that agent's open tickets + average response time + customer satisfaction score (1-5 stars after resolution).
Design a developer-facing helpdesk for an open-source project. Tickets pull from GitHub Issues via an optional webhook (operator wires the webhook URL after deploy). Severity inferred from issue labels (`bug:critical` → urgent, `enhancement` → low). 'AI suggested reply' button per ticket that the agent can edit before sending.
Build a customer-support inbox for a small e-commerce shop. Triage view: order_id auto-extracted from the customer's message, fetched against the orders table, surfaced as a side panel on the ticket detail. Replies post-templated with the customer's first name + order tracking link.
Foire aux questions
Where do tickets come from?
How does the SLA timer work?
Can agents reply directly from the dashboard?
How is response-time tracked?
Can customers see their own ticket history?
What about CSAT (customer satisfaction)?
How is the agent dashboard gated?
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