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README.md
@ -43,20 +43,19 @@ Fabric was created to address this by enabling everyone to granularly apply AI t
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> AI isn't a thing; it's a _magnifier_ of a thing. And that thing is **human creativity**.
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### Breaking challenges into components
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We believe the purpose of technology is to help humans flourish, so when we talk about AI we start with the **human** problems we want to solve.
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### Breaking problems into components
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Our approach is to break problems into components (see below) and then apply AI to them one at a time.
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<img width="2078" alt="augmented_challenges" src="https://github.com/danielmiessler/fabric/assets/50654/31997394-85a9-40c2-879b-b347e4701f06">
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We don't start with technology. We start with human problems.
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### Too many prompts
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The biggest challenge I faced in 2023——and still have today—is **the sheer number of AI prompts out there**. We all have prompts that are useful, but it's hard to manage them, discover new ones, _and manage the different versions of the ones we like_.
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Prompts are good for this, but the biggest challenge I faced in 2023——and that still exists today—is **the sheer number of AI prompts out there**. We all have prompts that are useful, but it's hard to discover new ones, know if they are good or not, _and manage different versions of the ones we like_.
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One of <code>fabric</code>'s main features is helping people collect and integrate modular AI functionality (in this case: prompts), which we call _Patterns_, into various parts of their lives.
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One of <code>fabric</code>'s primary features is helping people collect and integrate prompts, which we call _Patterns_, into various parts of their lives.
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Fabric has patterns (prompts) for all sorts of life and work activities, including:
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@ -71,9 +70,23 @@ Fabric has patterns (prompts) for all sorts of life and work activities, includi
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- Create social media posts from any content input
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- And a million more…
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### Our approach to prompting
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Fabric _Patterns_ are different than most prompts you'll see.
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- **First, we use `Markdown` to help ensure maximum readability and editability**. This not only helps the creator make a good one, but also anyone who wants to deeply understand what it does. _Importantly, this also includes the AI you're sending it to!_
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Here's an example of a Fabric Pattern.
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<img width="1461" alt="pattern-example" src="https://github.com/danielmiessler/fabric/assets/50654/b910c551-9263-405f-9735-71ca69bbab6d">
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- **Next, we are extremely clear in our instructions**, and we use the Markdown structure to emphasize what we want the AI to do, and in what order.
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- **And finally, we tend to use the System section of the prompt almost exclusively**. In over a year of being heads-down with this stuff, we've just seen more efficacy from doing that. If that changes, or we're shown data that says otherwise, we will adjust.
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## Quickstart
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There are three main ways to get started with Fabric.
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There are three (3) main ways to get started with Fabric.
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<img width="1173" alt="fabric-patterns-screenshot" src="https://github.com/danielmiessler/fabric/assets/50654/9186a044-652b-4673-89f7-71cf066f32d8">
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@ -81,6 +94,8 @@ There are three main ways to get started with Fabric.
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If you're not looking to do anything fancy, and you just want a lot of great prompts, you can navigate to the [`/patterns`](https://github.com/danielmiessler/fabric/tree/main/patterns) directory and start exploring!
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We hope that if you used nothing else from Fabric, the patterns themselves would be worth the project existing on its own.
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You can use any of those in any AI application that you have!
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### 2. Create your own Fabric Mill (server)
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