Mindful AI Solutions

Better AI results start with clearer thinking, not more complicated prompts.

Mindful AI Solutions is an interactive, four-hour workshop that helps you develop a more thoughtful and effective way of working with Artificial Intelligence.

Instead of focusing on the latest tools, you'll explore how your own thinking, expectations, and decisions influence the value you get from AI.

Through practical exercises and open discussions, you'll learn to define clear outcomes, ask better questions, evaluate AI-generated results, and recognize risks such as bias, over-reliance, and incorrect information.

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The workshop brings together two complementary perspectives:

• ‍Dr. Aidan Lyon, philosopher and AI architect, explores critical thinking, reasoning, and human judgment.
• ‍Dev Bhattacharya, an experienced Agile Coach and facilitator, connects these insights to everyday work, teams, and organizational challenges.

You'll leave with a practical approach to using AI more intentionally, greater confidence in your own judgment, and techniques you can apply immediately.

Mindful AI Solutions is designed for professionals, managers, team leaders, and anyone who regularly uses AI and wants to become more thoughtful and effective in how they use it.

It's particularly relevant if you're experimenting with different AI tools, struggling to evaluate their results, or wondering how to use AI without losing your own critical thinking.

The workshop is also valuable for leaders supporting AI adoption who want to develop shared principles for responsible and effective AI use.

No technical AI background or programming experience is required. Bring your curiosity, questions, and examples from your own work.

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In this hands-on workshop, you'll explore how to work with AI more thoughtfully, critically, and effectively, using practical exercises and real situations from your own work.

• Understand AI More Clearly: Explore what AI can and cannot do, why it produces uncertain results, and how this affects your decisions.
• Start with Clear Intentions: Learn to define the outcome you want before asking AI to generate answers, documents, or suggestions.
• Develop Better Prompts: Practice structuring prompts with clear context, questions, and expected formats.
• Evaluate AI Responses: Learn when AI output can be useful, when verification is needed, and when your own judgment should take priority.
• Recognize Bias and Assumptions: Explore how both human thinking and AI-generated responses can reinforce incorrect assumptions.
• Manage AI Risks: Understand practical ways to address inaccurate information, sensitive data, over-reliance, and inconsistent AI usage.
• Build Your Own AI Approach: Develop a personal framework for choosing AI use cases, assessing results, and working with different tools.
• Turn Insights into Action: Reflect on your current AI habits, identify useful improvements, and commit to practical next steps.

You'll leave with a clearer approach to AI, practical techniques for your daily work, and greater confidence in deciding when and how to use it.

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