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ChatGPT For
Business Leaders

Use Case: No - Code AI Workshops

The Problem

Cornell Tech wanted to run an AI workshop to teach their entrepreneurs and emerging business leaders how to leverage and understand advanced AI tools such as ChatGPT so they could apply it to real business problems. Participants had used AI tools for occasional tasks, but wanted to learn how to integrate AI into their daily decision-making, content creation, product development, and internal communication workflows. Without a clear framework for prompting, reviewing outputs, and connecting ChatGPT to the tools they already used, they were missing opportunities to accelerate productivity, improve strategic planning, and streamline execution.

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A hands-on workshop was needed to show students not just what ChatGPT can do, but how to operationalize it within a company setting so they could make better decisions, work faster, and scale their ideas more effectively.

The Solution

Vyrtices designed and delivered a hands-on AI workshop that gave Cornell Tech students a practical, end-to-end framework for using ChatGPT as a daily business tool rather than an occasional assistant. Instead of focusing on theory, the workshop centered on real workflows that founders, operators, and product teams use every day—strategic planning, writing, analysis, customer communication, and rapid decision support. Each session walked participants through how large language models interpret text, how to structure prompts that produce reliable results, and how to validate outputs so AI becomes a trusted part of their work instead of a risk.

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We demonstrated clear examples of where ChatGPT creates leverage in a business setting and taught participants how to convert those use cases into repeatable systems. Students learned how to design prompts that align with specific business roles, refine the model’s output through structured iteration, and embed ChatGPT directly into the tools they already rely on, such as Notion, Google Workspace, Slack, and email. The workshop concluded with advanced demonstrations of custom GPTs, document-aware assistants, and integration patterns that help teams scale their workflows as their companies grow.

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By the end of the workshop, participants not only understood how ChatGPT works—they left with a concrete, operational playbook for using AI to work faster, communicate more clearly, and make better business decisions across their future companies.

The Course Outline

Module 1:
What is ChatGPT?

  • Overview of large language models and how they interpret text

  • The difference between search, prediction, and generative reasoning

  • Strengths and limitations of modern AI assistants

  • How ChatGPT learns patterns and produces business-ready outputs

Module 4:
Output Validation

  • How to evaluate LLM responses for accuracy and completeness

  • Techniques for cross-checking or verifying critical content

  • Identifying hallucinations or logical inconsistencies

  • Establishing internal standards for “acceptable” AI output

Module 7:
Integration of ChatGPT
into Existing Tools

  • Connecting ChatGPT to your email, Google Drive, and Google Calendar

  • Connecting ChatGPT to your Slack, Notion, Teams

  • Identifying integration points that drive measurable efficiency gains

Module 2:
When to use ChatGPT?

  • Identifying tasks where AI provides leverage instead of risk

  • Understanding when AI accelerates workflows vs. when human oversight is required

  • Comparing high-value vs. low-value use cases for leaders and teams

  • Practical criteria for deciding if AI is appropriate for a task

Module 5:
Examples of ChatGPT Business Uses

  • Drafting and refining emails, memos, and proposals

  • Summarizing reports, meetings, or industry research

  • Generating marketing copy, product descriptions, and customer messaging

  • Creating SOPs, documentation, and onboarding materials

Module 3:
Prompt Engineering

  • Structuring clear, specific requests that reduce ambiguity

  • Using role-based prompting to get domain-aligned responses

  • Techniques for multi-step prompts and iterative refinement

  • Prompt patterns for analysis, generation, and transformation tasks

Module 6:
Advanced ChatGPT Tools

  • Overview of large language models and how they interpret text

  • The difference between search, prediction, and generative reasoning

  • Strengths and limitations of modern AI assistants

  • How ChatGPT learns patterns and produces business-ready outputs

The Feedback

“We loved how interactive this workshop was. Students came away with a whole toolkit of how to get the most out of ChatGPT."
Vasilis Drimalitis, Major Gifts Associate at Cornell Tech
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