Case study - Sanskrit coaching-OS

A full operating system (OS) to run the “Teach Sanskrit to kids” project using agentic AI plus human-in-the-loop execution.

0. System overview

Architecture

[Traffic] → [Acquisition Agents] → [Funnel System]
                                 ↓
                          [Conversion Agents]
                                 ↓
                         [Delivery System]
                                 ↓
                        [Retention Agents]
                                 ↓
                          [Growth Engine]

Core idea

Humans focus on teaching and quality. Agents handle marketing, analysis, operations, and scaling.

1. Agent stack (core agents)

Acquisition agent

Role: Drive traffic and leads.

Tasks

  • Generate ad creatives (reels, copy)
  • Suggest targeting
  • Run A/B tests

Tools

  • Meta Ads
  • Google Ads
  • Canva / CapCut

Input

  • ICP (parents, kids of learning age)
  • Messaging pillars

Output

  • Ads
  • Campaign performance insights

Example prompt

ROLE: Acquisition Agent

TASK:
Generate 5 Instagram ad creatives for Sanskrit learning for kids.
Focus on cognitive benefits + engagement.

OUTPUT:
- Hook
- Script
- Visual idea

Funnel agent

Role: Optimize landing page and conversion.

Tasks

  • Analyze drop-offs
  • Suggest improvements
  • Run A/B tests

Tools

  • Framer
  • Google Analytics
  • Hotjar

Output

  • Conversion insights
  • UI/UX improvements

Sales agent (WhatsApp)

Role: Convert leads into paying customers.

Tasks

  • Answer parent queries
  • Handle objections
  • Push trial to paid

Tools

  • WhatsApp API
  • CRM (HubSpot / Airtable)

Example script

Parent: What will my child learn?

Agent:
Great question! In just 4 weeks, your child will:
- Speak simple Sanskrit sentences
- Chant 5–7 shlokas confidently
- Improve memory and pronunciation

Would you like to try a free session this weekend?

Decision agent

Role: Evaluate business health.

Tasks

  • Monitor CAC, conversion, and retention
  • Recommend scale, iterate, or stop

Output

  • Weekly decision report

Curriculum agent

Role: Design teaching content.

Tasks

  • Create lesson plans
  • Design games, exercises, and chants

Output

  • Weekly curriculum
  • Worksheets

Engagement agent

Role: Keep kids engaged.

Tasks

  • Create quizzes and games
  • Suggest interactive activities

Retention agent

Role: Improve renewals.

Tasks

  • Send progress reports and reminders
  • Trigger renewal nudges

Operations agent

Role: Run backend operations.

Tasks

  • Create SOPs
  • Manage schedules
  • Assign instructors

Hiring agent

Role: Scale team.

Tasks

  • Define roles
  • Screen candidates
  • Generate interview questions

2. Tools stack

Core stack

Function Tool
Website Framer
Payments Razorpay / Stripe
CRM Airtable / HubSpot
Communication WhatsApp API
Analytics Google Analytics
Ads Meta / Google
Content Canva / CapCut

AI stack

  • LLM (Claude / GPT)
  • Vector DB (optional later)
  • Automation: Zapier / Make

3. Workflow (end-to-end)

Flow 1: Acquisition to conversion

Ad → Landing Page → Lead Capture → WhatsApp → Trial → Payment
  1. Acquisition agent launches ads
  2. Funnel agent monitors performance
  3. Lead captured (form)
  4. Sales agent initiates WhatsApp
  5. Trial booked
  6. Parent converted

Flow 2: Delivery

Enrollment → Batch Assignment → Classes → Feedback
  1. Operations agent assigns batch
  2. Curriculum agent provides lesson plan
  3. Instructor delivers class
  4. Engagement agent enhances interaction

Flow 3: Retention

Class → Progress → Parent Update → Renewal
  1. Engagement agent tracks participation
  2. Retention agent sends updates
  3. Renewal nudges sent

Flow 4: Growth loop

Great Experience → Referrals → New Leads → Scale

4. Metrics dashboard

Acquisition

  • CTR
  • Cost per lead

Conversion

  • Trial to paid percentage
  • CAC

Retention

  • Renewal rate
  • Drop-off rate

Business

  • Revenue
  • Instructor utilization

5. Human and AI role split

Humans

  • Teaching
  • Quality control
  • Strategy

Agents

  • Marketing
  • Optimization
  • Operations
  • Analytics

6. Scaling playbook

Stage 1 (0–50 students)

  • Manual execution plus basic agents

Stage 2 (50–200 students)

  • Hire instructors
  • Automate sales and retention

Stage 3 (200+ students)

  • Build product (app)
  • Full agent orchestration

7. Advanced

Multi-agent system: LangGraph / CrewAI, where each agent is a module.

Example

User Lead →
  Acquisition Agent →
  Sales Agent →
  Decision Agent →
  Ops Agent →
  Retention Agent

Final insight

This becomes a self-improving system that learns from every user interaction.