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.

Cara kerjanya

Langkah 1

Deskripsikan ide Anda

Tulis prompt teks biasa yang mendeskripsikan apa yang Anda inginkan.

Langkah 2

AI membangunnya

FloopFloop menghasilkan kode siap produksi secara instan.

Langkah 3

Deploy & aktifkan

Proyek Anda di-hosting pada subdomainnya sendiri dalam hitungan menit.

Mengapa membangun dengan AI daripada menyewa developer?

FloopFloopDeveloper tradisional
Waktu peluncuranKurang dari 5 menit2-8 minggu
BiayaMulai dari $0$5.000 - $50.000+
PemeliharaanSudah termasukRetainer berkelanjutan

Coba prompt ini

Salin prompt apa pun di bawah ini dan tempelkan ke FloopFloop untuk memulai.

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.

Pertanyaan yang sering diajukan

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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