Let's find the work AI should be doing in your organization.
Whether you are exploring an idea or improving a system already in use, we’ll help you decide what is worth doing next.
Short visual stories for people who use AI at work and want to understand what is happening beneath the conversation.
An AI literacy series made by the non-technical side of our team. They drew these while learning AI themselves, and share them so others can learn it the same way.
Each comic begins with a familiar workplace moment, then explains the AI idea behind it.
Rules versus learned patterns, and why most real products end up using both.
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The AI already built into your email, search and meetings, and the four jobs it usually does.
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How AI makes new content from learned patterns, and why a polished draft still needs checking.
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The trained engine behind every AI tool, what shapes it, and how to pick one for your own work.
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The layers a product wraps around a model, and why the same model can feel so different.
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Which workplace tasks suit generative AI, when human review matters, and how to pilot a low-risk use.
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When exact rules, serious consequences, sensitive data, or accountable decisions call for a different approach.
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How a clear request guides an AI response, and why reviewing and refining the answer matters.
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Give AI the objective, audience, relevant context, constraints, and trusted sources for a useful answer.
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Why the right audience, tone, and output format make a correct answer useful for its purpose.
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How language models use patterns without sharing human experience or unstated social context.
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Why fluent answers need evidence checks, especially when a claim could have serious consequences.
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Whether you are exploring an idea or improving a system already in use, we’ll help you decide what is worth doing next.
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