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.

Cómo funciona

Paso 1

Describe tu idea

Escribe un prompt describiendo lo que quieres.

Paso 2

La IA lo construye

FloopFloop genera código listo para producción al instante.

Paso 3

Despliega y publica

Tu proyecto se aloja en su propio subdominio en minutos.

¿Por qué construir con IA en lugar de contratar un desarrollador?

	FloopFloop	Desarrollador tradicional
Tiempo de lanzamiento	Menos de 5 minutos	2-8 semanas
Costo	Desde $0	$5.000 - $50.000+
Mantenimiento	Incluido	Contrato continuo

What is a helpdesk / support ticket system?

A helpdesk is where support requests get acknowledged, routed, worked, and closed without turning into 'where did that email go?'. Zendesk and Freshdesk dominate the SMB end; Intercom owns the in-app messaging slice; Front turned the team-inbox model into a category. The common shape is well-understood: ticket queue, agent assignment, status workflow (new → open → pending → solved), priority and SLA tracking, customer-facing knowledge base, and reporting that answers 'are we keeping up?'. Building your own helpdesk makes sense when your support workflow doesn't fit the off-the-shelf opinion — when you need ticket fields specific to your product, tight integration with your own user database, or compliance constraints (HIPAA, GDPR data residency) that force on-prem hosting.

Common features

Ticket queue with assignee, status, priority, SLA timer
New-ticket creation via email, web form, or API
Per-ticket thread with internal notes and customer-visible replies
Macros / saved replies for common responses
SLA rules per priority — response time, resolution time, breach alerts
Round-robin or skill-based assignment
Customer-facing portal — submit, view, reply to own tickets
Knowledge base with search for deflection before ticket submission
Per-agent reporting — tickets-per-day, first-response time, CSAT
Webhook integration with your product (link ticket to user record)

Real-world examples

B2B SaaS support

Tickets linked to customer records and subscriptions. SLA per plan tier — Enterprise gets 1-hour first-response; Free gets best-effort.

E-commerce support

Tickets auto-linked to the customer's order. Common macros for returns, refunds, shipping. Stripe refund actions inside the ticket interface.

Internal IT helpdesk

Employee-facing portal for IT tickets — laptop request, password reset, software install. Per-team SLAs and asset linkage.

Why FloopFloop fits helpdesk / support ticket system projects

Zendesk's pricing climbs steeply as agent count and feature needs grow; the cheap tier doesn't include the SLA reporting that justifies the helpdesk in the first place. FloopFloop lets you ship a helpdesk that fits your product's specific workflow — your priority tiers, your SLA definitions, your knowledge-base structure — without the per-agent tax. The tickets live in your DB; the integrations with your own product are direct rather than through Zapier; the macros can call into your business logic. A 5-agent team that would pay Zendesk $400+/month can run their own helpdesk on the underlying infrastructure cost and get exactly the workflow they need.

Prueba estos prompts

Copia cualquier prompt y pégalo en FloopFloop para empezar.

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.

Preguntas frecuentes

Where do tickets come from?

The default template ships a /contact form that creates a ticket from a website visitor's name + email + message. Refining with 'also accept inbound email by parsing IMAP messages on a scheduled cron' wires the email-to-ticket flow that Zendesk + Intercom charge for separately.

How does the SLA timer work?

Per-priority SLA hours are config (default: low=72h, medium=24h, high=8h, urgent=2h). A ticket's `slaBreachAt` is computed at create time as createdAt + SLA hours for its priority. The queue badge colours go: green (>6h to breach), amber (≤6h), red (overdue). Resolved tickets get the SLA chip frozen at the resolution time so the post-hoc reporting matches.

Can agents reply directly from the dashboard?

Yes — the ticket detail page has a reply textarea + a server action that inserts a row in the `ticket_replies` table and updates the ticket's `lastReplyAt`. Email delivery is operator's responsibility (the codegen scanner blocks every transactional-mail library); refining with 'integrate Resend / Postmark by wiring the API key as a project secret' gets the agent to scaffold the outbound delivery path.

How is response-time tracked?

Per-ticket `firstResponseAt` is set the first time an agent posts a reply (NULL on the customer's reply). Per-agent average is computed across all of that agent's tickets in the selected range. Customers who never get a response have a NULL firstResponseAt — they show up as 'awaiting first reply' at the top of the queue.

Can customers see their own ticket history?

Default is agent-facing only. Refine with 'add a per-customer portal at /support/{token} where the token is signed against the customer's email; render their own ticket list + lets them post replies'. Avoids needing a customer-facing auth flow.

What about CSAT (customer satisfaction)?

Refine with 'after resolution, email the customer a one-tap 1-5 star rating link that lands on /csat?ticket=X&rating=Y; record the response in a csat_responses table; expose per-agent average on the agent dashboard'. Five additional minutes for the codegen agent to scaffold.

How is the agent dashboard gated?

NextAuth login with role-based gates: customers can submit tickets without an account, agents log in via the OAuth flow (Google by default; operator swaps in via env vars), admins can manage the agent pool. The `helpdesk-dashboard` template wires this on first generate.

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