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Core Learning Features

Core Learning Features
Agent Driven Epistemic Framework
USPs of DeTAiL
No Code Icon No - Code / Low - Code Architecture
AI Icon Intelligent AI Orchestration
WhatsApp Icon WhatsApp Integration
Omni Channel Icon Omni - Channel Communication
Other Modules: Schools / Colleges
Module Icon Deep AI Query Management
Module Icon Admission Management
Module Icon Grievance Management
Module Icon Dynamic Notification Engine
Module Icon Event Management

DeTAiL Methodology

Student
Student

Name: Aryan
Age: 14 years old (Class 9)

Dot Connector
Dot Connector

Aryan is a "Dot Connector" -
he doesn't just want to
memorize he wants to know
"How" and "Why".

Parent
Parent

Leena, Mother of Aryan
wants to ensure that
Aryan finds his passion
and also performs well in
school academics

Flow Arrow
School Academic Methodology
Functions
Curiosity Index Methodology

Leena takes Aryan to Gulmarg. He slips on ice and he wants to know 'Why'.

Query
Background

Aryan watches "Interstellar" movie with Leena and he is fascinated by Black Holes.

Aryan is messaging his school's WhatsApp assistant from his mother's phone to find why he fell.

WhatsApp Question
Actual Query
WhatsApp /
Dashboard

Driven by high curiosity about black holes, he asks question in Machado's Concept Builder.

Concept Builder Question

"DeTAiL" explains not only what a concept is, but also what it is not. It addresses common misconceptions and the 'why' behind the topic using simple examples, bridging the gap between a 7th-grade level and current knowledge in very simple terms.

Query
Resolution
with Deep AI

Since the query is not directly linked to current academics, it connects the topic to future studies. It explains what the concept is and what it is not, providing a clear definition and a simple example based on Aryan's 7th-grade level.

Test Icon

A quick, 10-minute MCQ test consisting of five questions is generated, based on the sub-topic of the query.

Notification Icon

Once Aryan completes the test, WA notification sent to Leena with subject, topic, score, and areas for improvement, along with a link to view the full results.

Analysis Icon

Test Analysis is available on Student and parent Dashboard to dive deep into performance.

Detail Icon

'DeTAiL' goes beyond marks by explaining why an answer is wrong, correcting conceptual myths, and guiding students to the right result.

Dynamic
Testing and
Analysis
Test Icon

A quick, 10-minute MCQ test consisting of five questions is generated, based on the query and the level of Aryan's Class and understanding.

Notification Icon

Once Aryan completes the test, WA notification sent to Leena with topic, score, Passion Score, Curiosity level along with a link to view the full results.

Analysis Icon

Test Analysis is available on Student and parent Dashboard to dive deep into performance.

Detail Icon

DeTAiL goes beyond marks by explaining why an answer is wrong, correcting conceptual myths, and guiding students to the right result.

The “Zero Compartmentalization” approach evaluates test performance against the entire K–12 NCERT Knowledge Map rather than a single grade. By mapping results across this spectrum, the system identifies whether a student’s understanding aligns with Foundational, Current, or Higher Education levels.

Foundational
Friction
Current Class
Higher Class
Performance
map to
knowledge map

Student queries and assessments are mapped to Foundational, Current, or Higher proficiency tiers. These metrics populate a Passion Map, analyzing Curiosity and Deep Interest scores. This query goes out of his syllabus hence mapped to Higher education level.

Foundational
Current Class
Blackholes
Higher Class

Aryan will receive a study plan powered by Deep and Epistemic AI to help him master concepts by first identifying gaps in his understanding. The AI creates a customized learning map to bridge these gaps, ensuring he masters the specific topics linked to his questions—such as Newton’s Third Law of Motion and its connection to previous lessons.

Prerequisites
Current Topic
Subsequent Topic
Learning
Analysis

Curiosity-Driven Scaling anchors “beyond-level” inquiries to the curriculum via a Knowledge Staircase, creating structured learning plans. Using analogies, the AI validates curiosity and maps a path from basics to mastery, transforming wonder into an inspiring career roadmap.

Based on Aryan’s past performance in School Tests, Upcoming Exams, Mapped Syllabus, a profile will be created as per which notifications will be triggered to Aryan and his mother Leena for personalized study.

WhatsApp Notification
Agent
Integration

Aryan will receive notices, and his mother, Leena, will receive notifications regarding study plans for upcoming exams, mapped syllabus, and past performance data based on the current query and tests taken. A profile will be created for Aryan, which will be continuously updated.

WhatsApp Notification