Abhigyaan AI · Agentic Engine
Agentic AI for the classroom.
Abhigyaan runs on an agentic-AI engine — an autonomous system that sets a learning goal for each student, breaks it into steps, chooses the right teaching surface (Storyteller, 3D Avatar Tutor, multilingual conversation), checks understanding and adapts in real time. Coordinates multiple tutors and the school's curriculum without a teacher prompting each step.
The loop
Goal → Plan → Act → Check → Adapt.
- 01
Goal
E.g. 'understand photosynthesis to Class 7 CBSE level.'
- 02
Plan
Sequence the sub-concepts.
- 03
Act
Deliver via the best tutor surface for that sub-concept.
- 04
Check
Short questions, observed engagement, telemetry signals.
- 05
Adapt
Re-teach, simplify, change language, or advance — autonomously.
FAQ
Agentic AI FAQ.
- What is agentic AI in education?
- An autonomous system that sets a learning goal, breaks it into steps, picks the right teaching surface, checks understanding, and adapts — in a loop — without a teacher prompting each step.
- How is it different from a chatbot?
- A chatbot returns one answer per prompt. Agentic AI plans, acts, observes the result, and re-plans toward a goal. For students, the goal is mastery.
- Does agentic AI make decisions without the teacher?
- Within boundaries the teacher sets. Teachers configure the agent's scope, see every decision it makes, and can override at any time.
- What data does the engine use to adapt?
- Real-time learning telemetry from inside the platform — never third-party tracking, never student data sold.
- Can a school turn off autonomous adaptation?
- Yes. The engine can run in fully manual mode, where teachers approve each next step.