Documentation / Case Study

QUAD Case Study: Calculator Web Application

Agile vs QUAD - Side-by-Side Comparison

This case study demonstrates how a simple Calculator Web Application would be built using traditional Agile/Scrum vs QUAD methodology. It illustrates where human gates exist and where AI agents can run autonomously.


The Project: Calculator Web App

Scope: Build a web-based calculator with basic operations (+, -, *, /) Features:
  • • Basic arithmetic operations
  • • Clear and backspace functionality
  • • Keyboard support
  • • Responsive design
  • • Unit tests

  • Visual Comparison: Process Flow

    +===========================================================================+
    AGILE/SCRUM APPROACH (Traditional)
    +===========================================================================+
    
    [Human]         [Human]         [Human]         [Human]
    
    v               v               v               v
    

    PlanningDevTestingReview 4hrs9days1day2hrs

    v v v v [Meeting] [Coding] [Manual] [Demo] [Standup] [Reviews] [QA Test] [Retro] [Grooming] [Meetings] [Bug Fix] [Meet] Human Effort: ~80%Meeting Time: ~20%Duration: 2 weeks +===========================================================================+

    +===========================================================================+ QUAD APPROACH (AI-Augmented) +===========================================================================+ [Human] [Human] v v

    RequireStoryDevTestDeployCheck 1hrAUTOAUTOAUTOAUTO30m ^ [Human [Human Approval] Approval] Human Effort: ~20%Meeting Time: ~5%Duration: 2-3 days +===========================================================================+

    Detailed Phase Comparison

    Phase 1: Requirements & Planning

    +---------------------------+------------------------------------------+
    AGILE/SCRUMQUAD
    +---------------------------+------------------------------------------+
    
    [HUMAN] Product Owner[HUMAN] BA writes brief:
    writes user stories"Calculator with +,-,*,/ operations"
    - 2-4 hours- 15 minutes
    
    [HUMAN] Sprint Planning[AGENT] Story Agent expands:
    - Team estimates- Generates detailed stories
    - 4 hours meeting- Creates acceptance criteria
    - Adds edge cases
    [HUMAN] Grooming- Estimates complexity
    - Clarify stories- AUTO: 5 minutes
    - 2 hours meeting
    [HUMAN GATE] Review & Approve
    Total: ~8 hours- BA reviews generated stories
    - 30 minutes
    
    Total: ~50 minutes
    +---------------------------+------------------------------------------+

    Phase 2: Development

    +---------------------------+------------------------------------------+
    AGILE/SCRUMQUAD
    +---------------------------+------------------------------------------+
    
    [HUMAN] Daily Standup[AGENT] Dev Agent (UI):
    - 15 min x 10 days- Scaffolds React component
    - 2.5 hours total- Creates calculator layout
    - Implements button handlers
    [HUMAN] Developer codes- AUTO: 10 minutes
    - 8+ hours/day
    - Manual setup[AGENT] Dev Agent (API):
    - Manual testing- Creates calculation service
    - Adds validation logic
    [HUMAN] Code Review- AUTO: 5 minutes
    - 1-2 hours per PR
    - Back and forth[AGENT] Code Review Agent:
    - Pre-reviews for patterns
    [HUMAN] Fix review- Checks security
    comments- Suggests improvements
    - Variable time- AUTO: 2 minutes
    
    Total: ~40-60 hours[HUMAN GATE] Developer Review
    - Reviews AI-generated code
    - Makes adjustments
    - 2-3 hours
    
    Total: ~3 hours human + 17 min AI
    +---------------------------+------------------------------------------+

    Phase 3: Testing

    +---------------------------+------------------------------------------+
    AGILE/SCRUMQUAD
    +---------------------------+------------------------------------------+
    
    [HUMAN] QA writes test[AGENT] Test Generator Agent:
    cases- Reads flow documentation
    - 4-8 hours- Generates unit tests
    - Creates integration tests
    [HUMAN] Manual testing- AUTO: 5 minutes
    - Click through UI
    - 2-4 hours[AGENT] UI Test Agent:
    - Runs Playwright automation
    [HUMAN] Bug reporting- Screenshots all screens
    - Document issues- AUTO: 3 minutes
    - 1-2 hours
    [AGENT] API Test Agent:
    [HUMAN] Bug fixing- Tests calculation logic
    - Back to dev- Edge case validation
    - Variable time- AUTO: 1 minute
    
    Total: ~10-20 hours[HUMAN GATE] QA Review
    - Reviews test results
    - Exploratory testing
    - 1 hour
    
    Total: ~1 hour human + 9 min AI
    +---------------------------+------------------------------------------+

    Phase 4: Deployment & Review

    +---------------------------+------------------------------------------+
    AGILE/SCRUMQUAD
    +---------------------------+------------------------------------------+
    
    [HUMAN] DevOps deploys[AGENT] Deploy Agent (DEV):
    - Manual pipeline- Builds and deploys to DEV
    - 1-2 hours- AUTO: 2 minutes
    
    [HUMAN] Sprint Review[AGENT] Deploy Agent (QA):
    - Demo to stakeholders- After tests pass
    - 2 hours meeting- Deploys to QA environment
    - AUTO: 2 minutes
    [HUMAN] Retrospective
    - What went well/wrong[HUMAN GATE] Checkpoint
    - 1-2 hours meeting- Demo to stakeholders
    - 30 minutes
    [HUMAN] Production
    deploy[HUMAN GATE] Production Approval
    - Manual approval- Final sign-off
    - 1 hour- 15 minutes
    
    Total: ~6-8 hours[AGENT] Deploy Agent (PROD):
    - After approval
    - Deploys to production
    - AUTO: 2 minutes
    
    Total: ~45 min human + 6 min AI
    +---------------------------+------------------------------------------+

    Summary Comparison

    MetricAgile/ScrumQUADImprovement Total Human Hours64-88 hours5-6 hours92% reduction Meeting Time12-16 hours1.5 hours90% reduction Duration2 weeks2-3 days85% faster Human GatesEvery step4 checkpointsFocused review AI AutomationNone~90% of tasksMaximum leverage

    Human Gates in QUAD

    These are the non-negotiable human approval points:

    +-----------------------------------------------------------------------+
    QUAD HUMAN GATES
    +-----------------------------------------------------------------------+
    
    GATE 1: Requirements Approval
    WHO:  Business Analyst / Product Owner
    WHEN: After Story Agent generates detailed stories
    WHAT: Review acceptance criteria, edge cases, estimates
    TIME: 30 minutes
    
    GATE 2: Code Review
    WHO:  Developer / Tech Lead
    WHEN: After Dev Agent generates code
    WHAT: Review logic, patterns, security, quality
    TIME: 2-3 hours
    
    GATE 3: QA Sign-off
    WHO:  QA Engineer
    WHEN: After Test Agents complete automation
    WHAT: Review results, exploratory testing, edge cases
    TIME: 1 hour
    
    GATE 4: Production Approval
    WHO:  Tech Lead / Director
    WHEN: Before Deploy Agent pushes to production
    WHAT: Final sign-off, risk assessment, rollback plan
    TIME: 15-30 minutes
    
    +-----------------------------------------------------------------------+

    AI Agent Autonomous Zones

    These tasks run without human intervention:

    +-----------------------------------------------------------------------+
    QUAD AI AUTONOMOUS ZONES
    +-----------------------------------------------------------------------+
    
    ZONE 1: Story Expansion
    AGENT: Story Agent
    INPUT: Brief requirement from BA
    OUTPUT: Detailed user stories with acceptance criteria
    AUTO: Yes - runs immediately on input
    
    ZONE 2: Code Generation
    AGENT: Dev Agent (UI + API)
    INPUT: Approved user stories
    OUTPUT: Scaffolded code, components, services
    AUTO: Yes - triggers on story approval
    
    ZONE 3: Test Generation & Execution
    AGENT: Test Generator + UI Test + API Test Agents
    INPUT: Code and flow documentation
    OUTPUT: Test cases, execution results, coverage report
    AUTO: Yes - triggers on code push
    
    ZONE 4: DEV/QA Deployment
    AGENT: Deploy Agent
    INPUT: Code merge + tests passing
    OUTPUT: Deployed to DEV/QA environment
    AUTO: Yes - triggers on merge (PROD needs approval)
    
    ZONE 5: Documentation Generation
    AGENT: Documentation Agent
    INPUT: Code changes, API endpoints
    OUTPUT: Updated flow docs, API docs, changelog
    AUTO: Yes - triggers on deployment
    
    +-----------------------------------------------------------------------+

    Flow Document Example: Calculator Add Operation

    This is what a QUAD Flow Document looks like for a single feature:

    <h1 class="text-3xl font-bold text-white mb-8">FLOW: Calculator - Addition Operation</h1>
    

    <h2 class="text-2xl font-bold text-blue-300 mt-10 mb-6">Overview</h2> FieldValue

    Flow IDFLOW_CALC_ADD_001 OwnerCircle 1 (BA) StatusActive

    <h2 class="text-2xl font-bold text-blue-300 mt-10 mb-6">Step 1: User Enters First Number</h2>

    <h3 class="text-xl font-bold text-white mt-8 mb-4">UI</h3> ElementTypeValidation

    DisplayTextFieldNumbers only, 12 max Number ButtonsButton0-9, enabled

    <h3 class="text-xl font-bold text-white mt-8 mb-4">Screenshot</h3> [Calculator with "5" displayed]

    <h3 class="text-xl font-bold text-white mt-8 mb-4">API</h3> None (client-side only)

    <h3 class="text-xl font-bold text-white mt-8 mb-4">Database</h3> None

    <h3 class="text-xl font-bold text-white mt-8 mb-4">Test Cases</h3> TC IDScenarioInputExpected

    TC001Single digit5Display: "5" TC002Multiple digits123Display: "123" TC003Leading zero0, 5Display: "5"

    <h2 class="text-2xl font-bold text-blue-300 mt-10 mb-6">Step 2: User Clicks Addition</h2>

    <h3 class="text-xl font-bold text-white mt-8 mb-4">UI</h3> ElementTypeValidation

    + ButtonButtonEnabled when display has value DisplayTextFieldShows first number

    <h3 class="text-xl font-bold text-white mt-8 mb-4">Test Cases</h3> TC IDScenarioInputExpected

    TC004Click ++Stores first number TC005Click + (empty)+No action

    <h2 class="text-2xl font-bold text-blue-300 mt-10 mb-6">Step 3: User Enters Second Number</h2>

    <h3 class="text-xl font-bold text-white mt-8 mb-4">UI</h3> Same as Step 1

    <h3 class="text-xl font-bold text-white mt-8 mb-4">Test Cases</h3> TC IDScenarioInputExpected

    TC006Enter second3Display: "3"

    <h2 class="text-2xl font-bold text-blue-300 mt-10 mb-6">Step 4: User Clicks Equals</h2>

    <h3 class="text-xl font-bold text-white mt-8 mb-4">UI</h3> ElementTypeValidation

    = ButtonButtonEnabled when operation pending DisplayTextFieldShows result

    <h3 class="text-xl font-bold text-white mt-8 mb-4">API (if using server-side calculation)</h3>

    POST /api/calculate Content-Type: application/json

    Request: { "operand1": 5, "operand2": 3, "operation": "add" }

    Response (200): { "result": 8 }

    <h3 class="text-xl font-bold text-white mt-8 mb-4">Test Cases</h3>
    TC IDScenarioInputExpected

    TC0075 + 3 =5, +, 3, =Display: "8" TC008Large numbers999+999Display: "1998" TC009Decimal1.5+2.5Display: "4"

    Key Takeaways

    Why QUAD Works for Calculator (and ALL Projects)

  • Simple Projects = Big Wins
  • - Even a "simple" calculator has ~50 test cases - AI generates them in seconds vs hours manually
  • Human Brains for Human Decisions
  • - Is the UX intuitive? (Human gate) - Is the code secure? (Human gate) - Is it ready for production? (Human gate)
  • AI for Repetitive Work
  • - Scaffolding components - Writing test cases - Deploying to environments - Generating documentation
  • Documentation = Test Cases
  • - QA never asks "what should I test?" - Flow docs auto-generate test checklists

    Applying This to Your Project

    Step 1: Identify Your Human Gates

    Ask yourself:

  • • Who approves requirements?
  • • Who reviews code?
  • • Who signs off on QA?
  • • Who approves production?
  • Step 2: Identify AI Opportunities

    Look for:

  • • Repetitive coding patterns
  • • Standard test case generation
  • • Documentation updates
  • • Deployment automation
  • Step 3: Start Small

    Week 1-2: Enable Story Agent only Week 3-4: Add Dev Agent Week 5-6: Add Test Agents Week 7+: Full pipeline


    Related Documentation

  • QUAD Summary - High-level overview
  • QUAD Details - Technical specifications
  • QUAD Jargons - Terminology

  • QUAD™ - A methodology by Suman Addanki | First Published: December 2025