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.

So funktioniert es

Schritt 1

Beschreiben Sie Ihre Idee

Schreiben Sie eine Beschreibung in Textform, die erklärt, was Sie möchten.

Schritt 2

Die KI erstellt es

FloopFloop generiert sofort produktionsreifen Code.

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Bereitstellen & live gehen

Ihr Projekt wird innerhalb von Minuten auf einer eigenen Subdomain gehostet.

Warum mit KI statt mit einem Entwickler bauen?

FloopFloopTraditioneller Entwickler
Zeit bis zum LaunchUnter 5 Minuten2–8 Wochen
KostenAb 0 $5.000 $ – 50.000 $+
WartungInklusiveLaufendes Honorar

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.

Probieren Sie diese Prompts aus

Kopieren Sie einen der folgenden Prompts und fügen Sie ihn in FloopFloop ein, um zu starten.

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.

Häufig gestellte Fragen

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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