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Ishmam Jahan
Ishmam Jahan

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Harnessing o1, Claude 3.5, and DeepSeek R1 Simultaneously on One Canvas in Online MBA Classes

Online MBA class tackling a high-pressure case study—a global supply chain disruption that threatens to derail profits and reputations overnight. Students scramble across multiple tools: one group runs forecasts using OpenAI’s o1 reasoning model, another drafts ethical implications with Claude 3.5 Sonnet, while a third crunches numbers with DeepSeek R1. The result? Chaos. Tabs multiply, insights fragment, and collaboration slows.

Now imagine the same scenario inside a single AI workspace—a unified canvas where all three AI models work side by side in real time. On this canvas, o1 produces a step-by-step probabilistic forecast, Claude 3.5 layers in ethical, cultural, and strategic nuance, and DeepSeek R1 runs lightning-fast mathematical optimizations. And then, through the visual AI canvas of Jeda.ai, those outputs merge into editable diagrams, charts, and strategic frameworks that the class can debate, annotate, and refine live.

Harnessing o1, Claude 3.5, and DeepSeek R1 Simultaneously on One Canvas in Online MBA Classes

This is no longer a futuristic vision. It’s happening today with Harnessing o1, Claude 3.5, and DeepSeek R1 simultaneously on One Canvas in Online MBA Classes. In an era where business strategy must be agile, collaborative, and data-driven, this convergence of AI reasoning is more than an upgrade—it’s a transformation.

Jeda.ai is the enabler of this revolution. As the world’s first Generative Visual AI Workspace, Jeda.ai eliminates the need for fragmented platforms. It delivers an AI whiteboard experience where text, data, diagrams, and even math outputs are visualized instantly. This empowers MBA students and educators to co-create frameworks like SWOT, Porter’s Five Forces, or Balanced Scorecards in seconds, directly on the canvas.

Harnessing o1, Claude 3.5, and DeepSeek R1 Simultaneously on One Canvas in Online MBA Classes

Understanding the Core Models: Technical Foundations and Synergies

OpenAI o1 – The Reasoning Engine

At the heart of this integration is OpenAI’s o1 model, designed as a reasoning-first system. Unlike conventional LLMs, o1 explicitly simulates chain-of-thought (CoT) reasoning internally, allowing it to tackle multi-step problems with precision.

In an online MBA class, o1 shines in tasks like financial forecasting or scenario planning. For example, if students model “what happens if tariffs increase by 10%,” o1 breaks the query into probabilistic simulations, presenting step-by-step reasoning paths. This makes it the “brainstorming strategist” in the trio.

Harnessing o1, Claude 3.5, and DeepSeek R1 Simultaneously on One Canvas in Online MBA Classes

Anthropic Claude 3.5 Sonnet – The Ethical Orchestrator

Where o1 is the strategist, Claude 3.5 Sonnet is the ethical and cultural interpreter. Its Mixture-of-Experts (MoE) architecture allows it to route queries efficiently while retaining Constitutional AI alignment principles.

Benchmarks: Scores 92% on HumanEval, demonstrating advanced coding and reasoning.

Context Window: Massive 200K tokens, ideal for full case studies, policy documents, or corporate governance reports.

Tool Use: Built-in ability to call APIs and verify its own reasoning.

Harnessing o1, Claude 3.5, and DeepSeek R1 Simultaneously on One Canvas in Online MBA Classes

In MBA pedagogy, Claude’s role is critical for ethics, stakeholder analysis, and leadership decision-making. For example, when o1 generates a profit-maximization plan, Claude evaluates ESG (Environmental, Social, Governance) risks and provides ethical context. This prevents tunnel vision and creates balanced strategic insights.

DeepSeek R1 – The Efficient Powerhouse

The DeepSeek R1 model completes the trio as the raw computational workhorse. Built using pure reinforcement learning from scratch, R1 is designed for efficiency at scale.

Parameters: Dense 70B decoder architecture.

Performance: Matches or exceeds o1’s problem-solving ability with 85% accuracy on GSM8K math tasks.

Training Cost: Achieved high efficiency with a $294K training pipeline—remarkably low compared to other frontier models.

Strength: Low-latency inference and high throughput.

In MBA classrooms, R1 handles mathematical modeling, optimization, and quantitative finance problems. For example, it can run linear programming to minimize logistics costs, validating o1’s forecasts.

The New Era of AI in Online MBA Classes

The landscape of Online MBA classes is evolving rapidly. Students and professors are no longer limited to text-based discussions or static slides. Instead, they’re now leveraging multiple Large Language Models (LLMs) simultaneously to gain diverse insights and deeper understanding. With tools like Jeda.ai’s Multi-LLM Visual AI Whiteboard, learners can now bring o1, Claude 3.5, and DeepSeek R1 onto the same canvas to brainstorm, analyze, and co-create strategies in real time.

Multi-LLM Synergy Explained

Harnessing three powerful models in one workspace is more than just convenience—it’s about synergy:

  • o1 → excels at logical structuring and step-by-step reasoning.
  • Claude 3.5 → strong in nuanced, human-like explanations and creative ideation.
  • DeepSeek R1 → optimized for speed, problem-solving, and technical precision.

Harnessing o1, Claude 3.5, and DeepSeek R1 Simultaneously on One Canvas in Online MBA Classes

By combining them, students can run parallel prompts, compare results, and then aggregate insights into a single, synthesized outcome. This reduces bias, broadens perspectives, and increases accuracy for case studies, strategic frameworks.

Why the Visual AI Whiteboard Matters

The real breakthrough comes from using a Visual AI Workspace like Jeda.ai. Instead of juggling multiple platforms, students interact with all three models in one infinite canvas. They can:

  • Generate SWOT analyses, flowcharts, and mind maps instantly.
  • Collaborate in real time with peers, annotating and refining AI outputs.
  • Transform abstract ideas into visual business intelligence artifacts—all powered by multi-model AI.

Harnessing o1, Claude 3.5, and DeepSeek R1 Simultaneously on One Canvas in Online MBA Classes

The Future of MBA Learning

The deep technical dive into using o1, Claude 3.5, and DeepSeek R1 together reveals a future where business education is powered by multi-LLM intelligence. With Jeda.ai’s Generative Visual AI Workspace, MBA learners can bridge theory and practice faster, smarter, and more interactively than ever before.

Canvas Rendering and Multimodal Synchronization

The real innovation lies in how Jeda.ai renders these outputs into a visual AI whiteboard.

Rendering Engine: Built on SVG + WebGL, ensuring smooth real-time updates.

Diagrams: o1’s text outputs become editable mind maps

Narratives: Claude’s ethical notes turn into flowcharts or frameworks

Equations: R1’s math renders as interactive plots or Gantt charts.

Pedagogical Applications: Deploying in Online MBA Classrooms

Case Study – Supply Chain Optimization Modul

Students upload real-world supply chain data onto AI whiteboard canvas.
o1 runs scenario forecasting

Claude 3.5 flags ESG and compliance concerns.

R1 applies linear programming to optimize logistics costs.

The output is a dynamic Gantt chart that students can edit live, annotate, and export.

Collaborative Learning Dynamics

Using WebRTC, students annotate outputs in real time. Claude even moderates debates by analyzing sentiment in discussions, ensuring inclusivity.

Assessment and Feedback Loops

Automated grading becomes possible:

  • R1 scores quantitative answers.
  • o1 evaluates strategic reasoning depth.
  • Claude provides narrative feedback.

Educators can also run A/B prompt testing to refine teaching strategies.

jeda.ai makes assessment outputs exportable as Word, PowerPoint, or PDF, saving professors hours.

Challenges, Mitigations, and Future Horizons

Common Pitfalls and Solutions

Hallucinations → solved by cross-verification across models.

High cost → R1’s efficiency balances o1’s premium inference.

Latency spikes → Redis caching keeps response under 2 seconds.

Confidence scoring (using logprobs > 0.8) ensures only high-certainty outputs get passed to students.

Emerging Trends

The future lies in multimodal expansion. Soon, o1 and Claude will integrate vision inputs, enabling MBA students to analyze charts, slides, and images directly.

Conclusion: Empowering the Next Generation of Business Leaders

Harnessing o1, Claude 3.5, and DeepSeek R1 Simultaneously on One Canvas in Online MBA Classes is not just about integrating multiple AIs. It’s about creating an AI workspace where reasoning, ethics, and computation converge into actionable visual insights.

For educators, this means less time juggling tools and more time fostering critical thinking. For students, it means preparing for a future where strategy is collaborative, data-driven, and ethically grounded.
With Jeda.ai’s Generative Visual AI Workspace, this vision is already reality. Educators can sign up today at jeda.ai and start transforming lectures into interactive AI whiteboards that empower the next generation of leaders.

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