Generate a full AI HR Onboarding Platform from a prompt

You describe how your company onboards new hires. StackAlchemist generates the full .NET 10 + Next.js 16 + PostgreSQL codebase, verifies the build, and hands you the zip. You own the code. Deploy wherever you want.

What you get

A production-shaped AI HR onboarding platform with:

• Employee records — Employee, Role and Department entities with manager, start date and employment status
• Onboarding checklists — OnboardingTemplate, ChecklistItem and TaskAssignment entities with day-1, week-1 and month-1 buckets per role, so engineering hires get different tasks than sales hires
• Documents and signatures — Document, SignatureRequest and SignedDocument entities for I-9, W-4, offer letters, NDAs and direct-deposit forms, with signer status and audit-trail fields
• Equipment and access requests — EquipmentRequest and AccessRequest entities with status and tracking fields
• Org structure — ManagerAssignment and OrgChartNode entities, the data an org chart renders from
• Milestones — OnboardingMilestone and CompletionRecord entities
• .NET 10 minimal API — a Dapper repository and CRUD endpoints for every entity, documented with OpenAPI
• Next.js 16 frontend — TypeScript types, a typed API client and starter pages for your entities
• PostgreSQL migration — UUID keys, foreign keys, row-level security enabled (the policies are yours to write)
• Docker Compose for local development — docker compose up and you are running

What you wire yourself: file storage for document uploads, the DocuSign or HelloSign integration, the org-chart view and manager dashboard, approval routing and overdue-task nudges, employee and manager sign-in (the Supabase client is preinstalled; the auth flows are yours to write), and your CI pipeline. The entities carry the fields those features need; the feature code is yours.

You generate it from a single prompt. On the Boilerplate and Infrastructure tiers, the repo goes through dotnet build and next build before you can download it, and build-report.json in the archive records every command and its result.

Why generate it instead of paying BambooHR per seat

Per-seat HR SaaS punishes growth. BambooHR starts around $108 per employee per year. Hit 200 employees and you are paying north of $21,000 annually for software you do not own. A StackAlchemist-generated platform is one-time. Your headcount can quadruple and your HR tooling cost stays flat.

Rippling locks you into a bundle. You want onboarding, but Rippling wants you on their payroll, benefits, device management, and SSO stack too. Unbundling costs more than the bundle. Owned code lets you keep Gusto for payroll, your own MDM for devices, and your own onboarding flow — pick the best tool per job.

Workday is a six-figure enterprise contract. It also takes six months to implement. If you are 50 to 500 employees and you do not want to be Workday's customer for the next decade, generating your own onboarding stack and bending it to your process beats waiting on a Workday partner's Gantt chart.

Who this is for

• HR leads at 30 to 500 person companies formalizing onboarding past the spreadsheet stage without committing to a per-seat platform forever.
• Multi-location retail or hospitality operators with high turnover where the per-seat math gets ugly fast and onboarding has to be repeatable across sites.
• Remote-first companies that need equipment shipping, account provisioning, and document collection automated because there is no office to walk the new hire around.
• People-ops consultants building bespoke onboarding stacks for client companies who want to own their HR data rather than rent it.

Example entities generated

A typical AI HR onboarding platform generation produces entities like:

• Employee / Role / Department
• OnboardingTemplate / ChecklistItem / TaskAssignment
• Document / SignatureRequest / SignedDocument
• EquipmentRequest / AccessRequest
• ManagerAssignment / OrgChartNode
• Location / WorkSchedule
• OnboardingMilestone / CompletionRecord

The exact shape depends on your prompt. A 50-person SaaS startup generates different entities than a 300-location coffee chain.

Real example: Remote-first software company, 80 employees

Imagine you submit this spec:

"We are a remote-first software company with 80 employees across four time zones. New hires get role-based onboarding: engineers, designers, sales, and ops each have different checklists. Every new hire signs an offer letter, NDA, and I-9 before day one. Engineering hires get a laptop shipped, GitHub access, AWS read-only, and Slack invites provisioned automatically. Sales hires get a CRM seat and a Zoom Phone number. Managers see their direct reports' onboarding progress and get nudged about overdue tasks. We have day-1, week-1, and month-1 milestones tied to performance check-ins."

StackAlchemist generates:

• Employee entity with first_name, last_name, work_email, role_id, manager_id, start_date, location, employment_type (full-time, contractor)
• Role entity with title, department, onboarding_template_id, equipment_profile_id
• OnboardingTemplate entity with role_id, milestone_buckets (day_1, week_1, month_1), and ordered checklist_items
• ChecklistItem entity with template_id, title, description, assignee_type (employee, manager, IT, HR), due_offset_days
• TaskAssignment entity with employee_id, checklist_item_id, status (pending, in_progress, complete, blocked), completed_at
• Document entity with employee_id, document_type (I-9, W-4, offer_letter, NDA), storage_url, uploaded_at
• SignatureRequest entity with document_id, signer_email, status (sent, viewed, signed), signed_at, audit_trail
• EquipmentRequest entity with employee_id, equipment_profile (engineer_laptop_v3, sales_kit_v2), shipping_address, status, tracking_number
• AccessRequest entity with employee_id, system (github, aws, slack, crm), permission_level, granted_at, granted_by
• ManagerAssignment entity with employee_id, manager_employee_id, effective_date — the data the org chart and manager nudges are built from
• CRUD endpoints for every entity (/api/v1/employees, /api/v1/documents, /api/v1/tasks, …). Endpoints like POST /onboarding/templates/:id/assign or GET /employees/:id/onboarding-status can be declared in Advanced Mode; the assignment and progress logic behind them is yours to write
• Next.js types and a typed API client for every entity, plus starter pages

That is the onboarding data model and CRUD layer, compile-verified. The employee portal, the manager dashboard, document storage, signature webhook callbacks, automatic provisioning and milestone progression are code you add on top. Docker Compose spins up a local PostgreSQL, the .NET API, and the Next.js frontend in one command.

After you own the code: two next steps

Once the zip arrives and you have the repo cloned, here is what you do:

1. Wire your e-signature provider to SignatureRequest. The generated repo gives you the SignatureRequest entity with status and audit-trail fields; the DocuSign or HelloSign call and the webhook endpoint that updates the status are yours to write. Set DOCUSIGN_INTEGRATION_KEY and DOCUSIGN_USER_ID in your .env.local, add the envelope call and the status webhook, and send a test offer letter through the flow. You now have a working e-signature pipeline without paying a per-document HR SaaS markup on top of DocuSign's own pricing.

2. Connect your equipment provisioning to a real workflow. Maybe you ship from a Hofy or Firstbase account, or maybe IT pulls from a closet in the office. The generated EquipmentRequest entity is the seam. Add a webhook to your shipping provider, or wire it to a Slack channel where IT picks up the ticket and updates tracking_number when the laptop ships. Same pattern for access requests — pipe AccessRequest creation to your Okta SCIM endpoint, or just to a Slack channel for IT to action. The code is yours, so the integration looks like your actual process, not a vendor's idea of it.

What is not included

StackAlchemist is not BambooHR. We do not run payroll, do not file your taxes, do not store benefits enrollments, and do not handle compliance reporting (EEO-1, ACA). We generate you the code for the onboarding side. You deploy it and you integrate it with whatever payroll and benefits stack you already use (Gusto, Justworks, ADP, Rippling-for-payroll-only — your call).

We do not include a built-in e-signature provider, document OCR, or background-check integration. We generate the entities and CRUD endpoints; you write the DocuSign, Checkr, or other vendor integrations on top. You stay in control of vendor choice, which means you also stay in control of cost.

Pricing

One-time, per generation. Simple Mode (describe it in plain English) and Advanced Mode (define the entities step by step) are two ways to describe your app; the tier decides what you get.

• Blueprint — $299. schema.json (the entity-relationship model) and api-docs.md (the CRUD contract, endpoint by endpoint). Documents, no code.
• Boilerplate — $599. The repository described above, put through its real compilers before delivery (the Compile Guarantee).
• Infrastructure — $999. Boilerplate plus an AWS CDK stack, a Terraform AWS baseline, a Helm chart and a DEPLOYMENT.md runbook.

No monthly fee. No per-seat pricing as you hire. You own what you generate.

Get started

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