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You've learned how to write better prompts and you may even go back to old conversations because they contain information AI needs to understand what you're working on. Maybe you've already created Projects, custom instructions, or your own system for keeping important context together.

And yet...

Sometimes the result AI gives isn't even close to what it was just yesterday.  

It's frustrating when you find yourself repeating instructions you know you've already given it.  Just as frustrating when a prompt that worked brilliantly last week suddenly produces something mediocre. You give AI more context hoping for a better result, and sometimes just get a longer bad result.

You've found things AI can help you do faster, but you aren't sure how to turn those successful interactions into a reliable, repeatable way of working. And somewhere along the way, you start asking a bigger question: How do I actually make AI work reliably as part of the work I already do?

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Reliable workflows need the right information, the right context, clear standards, reliable sources of truth, and defined decision boundaries. And the most important part, they need a way to evaluate what is produced, and human judgment protected for when the work requires it.

 

That means the next step in working with AI isn't simply learning more prompts or finding another tool. It's learning how to direct, evaluate, integrate, and oversee AI as part of real work.

 

We call that Operational Literacy with AI™.  It's what Structured Thinking does best: teaching professionals how to think with AI.  It's increasingly what we're being recognized for.  

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  • What information should AI have access to?

  • How do you establish what a good result with AI looks like?

  • How do you turn a successful AI interaction into a repeatable workflow?

  • What should be automated and what should not be?

  • How do you know hen AI has gotten something wrong, especially when an automation layer is present?

  • When those automations are added, where does human judgment need to remain?

The technology can execute increasingly more complex tasks, but that does not mean that it does not need professionals who are capable to determine what should happen, what good looks like, and whether the result belongs in the work to begin with.  In fact, those answers become even more relevant.

That's the capability we develop with Structured Thinking.  It is Operational Literacy with AI at its core.  

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Operational Literacy with AI focuses on the capability behind the tools.  You'll learn how to intentionally direct AI, evaluate what it produces, create the structure the tool needs to contribute to your work reliably, integrate it into repeatable workflows, and determine when greater automation actually make sense.  

You don't need coding or technical AI background learning to think with and direct AI.  You bring your professional experiences and we teach you how to apply what you know to this new, ever changing landscape.  

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You might leave the workshop with a recurring reporting process, client or stakeholder communication, project documentation, research and analysis process, meeting follow-up, or any number of other repeatable responsibilities you already own in your role. 

You'll learn how to direct and evaluate AI, identify information and standards it needs, and structure your work into a more reliable workflow.  It won't stop there, you'll also learn how valuable your own human judgment truly is.

You determine where AI can contribute and where your judgment must remain necessary, and what would have to be true before greater automation makes sense and can be delivered with less risk.

You won't walk out of the workshop with every part of your day transformed in one setting, but you will learn the framework, apply it to real work, and leave with a process that you can refer back to repeatedly to start that transformation.  

The session was incredibly interactive, engaging, and packed with valuable information. [Structured Thinking] did an outstanding job explaining concepts in a way that was easy to understand. 

 

What I appreciated most was how practical the class was. It wasn’t just theory, we were encouraged to participate, ask questions, and think differently about how AI can be used in everyday life and business. 

Time flew by because the presentation kept everyone involved from beginning to end.

 

I learned so much in just one session, and I left feeling inspired and excited to continue learning. I highly recommend it! 

 

This class is truly for anyone who wants to grow, learn, and stay ahead. I will go over the resource book again and keep learning. I really liked the way the training was structured. Very helpful! I had an amazing experience.

Carmen

I really enjoyed [the workshop] and appreciated that the focus wasn't on prompts, but on changing how people think. As someone who trying to build AI products and workflows, I thought the "Dump → Loop → Do" framework is approachable and gives beginners a mental model they can actually remember. One thing that especially stood out was the opening icebreaker with the giraffe and elephant. It was a brilliant.

 

Coming from a User Experience and product background, I also appreciated that we spent as much time on judgment and evaluation as we did on prompting. That's the part many AI courses skip, yet it's what ultimately builds trust and adoption. Most organizations don't struggle because they lack prompts. They struggle because people don't yet have a reliable process for working with AI.

 

Thanks again.  I enjoyed the discussion and look forward to seeing how Structured Thinking continues to evolve.

 

Jonathon

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A Real AI-Enhanced Workflow

A documented workflow built around actual work from your professional role.

A Structured Environment

The information, context, standards, sources of truth, decision rules, and oversight needed to support reliable AI contribution.

An Automation Readiness Assessment

A documented determination of what could be automated, what isn't ready, and where human judgment must remain.

A Next-Step Implementation Plan

The actions required to move your workflow from workshop design toward actual implementation.

Structured Thinking™ Interactive Workbook

Your working document throughout the full-day workshop.

Structured Thinking™ Professional AI Toolkit

A resource including:

  • AI Adoption Pathway

  • Control Panel Practice Tool

  • Structured Environment Framework

  • AI-Enhanced Workflow Reference

  • Workflow Readiness Checklist

  • Automation Readiness Checklist

  • Agent Readiness Checklist

  • Informed AI Consumer Checklist

  • Structured Environments by Responsibility Reference

  • Professional Prompt Practice Kit

Certificate of Completion

Operational Literacy with AI™ — 6 Professional Development Hours

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Attendece maxes out at 15 participants.  This is purposeful due to the interactive nature of the workshop.

$550 (Guests of Encore bank will enter their information at checkout).

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This isn't a collection of trendy tools, a list of prompts to copy and paste, or a workshop designed to convince you that everything should be automated.

Structured Thinking starts somewhere else: with the professional responsible for the work.

You've spent years developing the knowledge, judgment, standards, instincts, and experience that allow you to recognize when work is good, and when it's not. AI doesn't make you, your experience, or those skills obsolete.  It makes them more important. 

Now it's time to understand how AI works and how you successfully work with AI. It's time to be intentional with evaluations, build the structure required for the consistency, and know when and if it's time to scale. It's time to empower yourself to make sure you continually deliver the work that keeps your career moving forward.

AI will continue to contribute more to work, but someone still has to direct it. Someone has to evaluate it. Someone has to determine whether it meets the standard, what should be automated, and what requires human judgment.​ Someone still owns the outcome.

If you're ready to be that someone, then this workshop is for you.

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Do I need AI experience?

You should have at least some experience interacting with an AI platform, but you do not need advanced technical knowledge. The workshop focuses on professional application rather than technical AI development.

Is this a prompting workshop?

No. Prompting is part of working with AI, but it is only one part. The workshop focuses on the broader capability required to direct, evaluate, structure, integrate, and oversee AI in real work.

Do I need to know how to code?

No. No coding or programming experience is required.

What kind of work should I bring?

Choose something you understand well and that occurs repeatedly enough to benefit from a more intentional process. Examples might include reporting, research, project documentation, stakeholder communication, meeting follow-up, planning, analysis, or another recurring responsibility from your role. You can use sanitized or generalized information when company policies prevent the use of actual business data.

What if my company has strict rules about confidential and proprietary information?

That is excellent. Your company is acting responsibly.  Bringing something in your real work does NOT mean exposing or putting confidential or proprietary company information at risk. Workflows can be mapped using sanitized, generalized, or non-sensitive examples, and participants should always follow their organization's policies regarding AI platforms, confidential information, customer data, and proprietary materials.  The goal is to apply the framework to the structure of real work without requiring sensitive information to leave your organization's approved environment.

Will we build an automation?

The workshop teaches you how to determine whether a workflow is ready for automation and what would need to happen next. Building an automation is not the objective of the workshop.

Can my employer pay for my registration?

Yes. The Employer Approval Kit is designed to help you explain the program, professional-development value, learning objectives, and expected outcomes to your manager.

Can my organization send multiple team members?

Yes. Team participation allows organizations to develop a shared approach to directing, evaluating, integrating, and overseeing AI across professional work.  It is not only allowed but encouraged.  Check the registration page for team discounts.  

And do NOT forget...

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