peopleanalyst

Tools · Software engineering

Application Designs

Get the technical blueprint — architecture, stack, components, phases — for any product idea.

How it works

The HOW counterpart to Requirements' WHAT; one canonical design shape regardless of source; implementation phases and dependencies included.

You bring

{ text, sourceType?: deep_research|book|research, sourceId?, title?, author? }

You get

ApplicationDesignCanonical[] (architecture · stack · data model · features · flows · phases)

Use it for

See it work

example output

Source: a deep-research brief describing a shift-swap marketplace for hospital nurses with credential-based eligibility rules.

Application Design — ShiftMesh (nurse shift-swap marketplace)

design_id: ad-shiftmesh-01 · type: web_app · status: concept · complexity: moderate · priority: high

Description: An internal marketplace where hospital nurses post, claim, and swap shifts within unit- and credential-based rules, with charge-nurse approval.

Purpose: Cut unfilled shifts and last-minute agency spend by letting qualified nurses self-serve swaps inside compliance guardrails.

Value proposition: Fewer holes in the schedule, less manager phone-tag, and an auditable trail that every swap stayed credential-compliant.

Target users: staff nurses · charge nurses · unit managers · the staffing office.

Technical design

  • Architecture: Next.js front end + a Node/Postgres API; a separate eligibility-rules service gates every swap; an event queue drives notifications.
  • Stack: TypeScript · Next.js · Postgres · Redis (locks on claimed shifts) · Twilio (SMS) · SSO via the hospital IdP.
  • Key components: shift ledger · credential/eligibility engine · approval workflow · notification service · audit log.
  • Data model: Nurse · Credential · Shift · SwapRequest · Approval · AuditEvent.

Functional design

  • Core features: post an open shift · request a swap · auto-check credentials + overtime rules · charge-nurse approve/deny · audit export.
  • User flows: Nurse posts a shift → eligible peers notified → a peer claims it → rules check runs → charge nurse approves → both calendars update.
  • Integrations: the existing scheduling system (Kronos/UKG) · hospital SSO · payroll export.

Implementation

  • Phase 1: read-only sync from the scheduler + the shift ledger.
  • Phase 2: swap requests + the eligibility engine + approvals.
  • Phase 3: notifications, audit export, and overtime/fatigue guardrails.
  • Dependencies: scheduler API access · a credential data feed · IdP integration sign-off.

Source: a deep_research brief · extraction_method: llm. One canonical design record shown — the tool returns an array of ApplicationDesignCanonical.

Run it on your data

Call it on your own inputs — over the API, or hand it to your AI agent via MCP. Discovery is open; running it is metered.

REST  POST /api/bicycle/application-designs
MCP   extract_application_designs

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