What You Can Build
Every app below is a single description away. Install the zango-app-developer plugin,
paste the prompt, and you get a running, multi-tenant, enterprise-ready application with the AI agent
already wired into the platform: tenancy, roles, workflow, audit, and cost tracking included. These are
templates to adapt, not limits. Click any card to copy its prompt.
Customer Support Ticket Manager with AI triage
Support agents create tickets from customer inquiries and move them through triage, investigation, and resolution. An AI agent reads each new ticket, summarises the issue, checks similar resolved tickets, and recommends a resolution path. Agents act on the suggestion in one click; managers see everything; every decision is audit-logged.
Hiring pipeline tracker
Recruiters log candidates against open roles and move them through screening, interviews, and offers. The agent reads each application, scores fit against the job description, and flags top candidates so hiring managers review the shortlist first.
Expense & invoice approval
Employees submit expense reports for approval. The agent checks each submission against company spend policy, flags out-of-policy line items, and estimates approval likelihood so finance teams prioritise their queue.
Employee onboarding tracker
HR creates an onboarding record for each new hire and tracks IT setup, access provisioning, and training steps. The agent reviews completed steps, identifies blockers, and drafts a personalised first-week plan tailored to the role.
Content review & approval
Marketing content enters a review queue. The agent pre-checks every submission against brand guidelines and tone rules, flags likely issues, and returns suggested edits before a human reviewer opens the file.
Vendor & supplier onboarding
Procurement teams manage new vendor applications through due diligence and approval. A nightly background agent reviews new submissions, checks registration documents, and writes a risk summary onto each vendor record for the procurement manager.
How to write a great prompt
The plugin generates more idiomatic code the more precisely you describe intent. Aim for these four things in every prompt:
- Name the roles and what each one can and cannot do.
- Name the lifecycle stages the records move through.
- Describe the agent's job and the shape of its output (text or structured JSON).
- Mention side-effects you want, such as an SMS on approval or a nightly run.
"Coordinators create and edit cases; managers approve or reject; clients see only their own case, read-only; an AI agent triages new cases and returns a next-step recommendation as JSON" produces a far better result than "add role-based access and some AI to cases." Specificity is the whole game.
Smaller prompts to drop in
Already have an app running? These are quick, single-purpose prompts you can paste to extend it. Click any one to copy it.