Global · Universal Educational AI
AI debate coachBuilt for debate teams.
The challenge
Debaters often struggle with 'echo-chamber' preparation where they cannot find diverse sparring partners to stress-test their logic or identify weak links in their burden of proof during odd hours.
How AI Professor™ helps
The platform utilizes Coach Mode to simulate opposing bench arguments, providing immediate RAG-based factual verification against a library of global policy documents and case law. It uses 24x7 doubt clearance to help students instantly research complex motion themes, such as international relations or economics, ensuring every argument is grounded in evidence.
Why debate teams pick AI Professor™
Most "ai debate coach" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with universal educational ai workflows, with branding, rosters, syllabus, exams and admin controls every decision-maker recognises.
What's in the box
A branded portal, an AI Teacher persona for every subject, 24×7 doubt-clearance, auto-graded worksheets and exams, handwriting evaluation, parent dashboards in regional languages, and a real admin console — usage, safety incidents, faculty workload.
Pricing & deployment
from $0.99 per student per month. A 14-day pilot covers branding, syllabus loading, teacher onboarding and parent communication. Full rollout typically takes 4–6 weeks.
Compliance & safety
Built for IB, Cambridge IGCSE, AP and Common Core. EU/US/IN data-residency options. SOC 2 posture, GDPR-friendly.
Frequently asked questions
How does the AI handle specific motion nuances like 'This House Regrets' (THR)?
The AI is trained on historical debate data to understand the difference between policy, value, and regret motions. It helps debaters frame their world-view by analyzing the counter-factual world required for a THR motion, ensuring the student meets their specific comparative burdens.
Can the platform detect logical fallacies in a user's verbal or written argument?
Yes, the AI Professor analyzes the structural integrity of an argument to identify common fallacies such as strawman arguments, slippery slopes, or ad hominem attacks. It provides a breakdown of where the link-chain breaks and suggests specific remedies to strengthen the warranting.
Is the RAG-based research feature limited to Indian context textbooks?
While the platform aligns with Indian curriculum standards, the AI debate coach utilizes a global RAG architecture. This allows debaters to pull from international news, historical archives, and economic data necessary for high-level competitive motions that transcend local syllabus boundaries.
How can coaches use the dashboard to track a team's progress?
The dashboard provides analytics on each student's performance, highlighting recurring weaknesses in specific areas such as rebuttal density or argument extension. Coaches can view 'heatmaps' of a student's research depth, allowing for targeted human intervention where the AI identifies a plateau in critical thinking.