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README.md

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<img src="./images/fabric-logo-gif.gif" alt="fabriclogo" width="400" height="400"/> <img src="./images/fabric-logo-gif.gif" alt="fabriclogo" width="400" height="400"/>
# `fabric` # `fabric`
https://img.shields.io/badge/mission-ai%20augmentation-blue
<h4><code>fabric</code> is an open-source framework for augmenting humans using AI.</h4> <h4><code>fabric</code> is an open-source framework for augmenting humans using AI.</h4>
[What and Why](#whatandwhy) • [What and Why](#whatandwhy) •
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Since the start of 2023 and GenAI we've seen a massive number of AI applications for accomplishing tasks. It's powerful, but **it's not easy to integrate this functionality into our lives.** Since the start of 2023 and GenAI we've seen a massive number of AI applications for accomplishing tasks. It's powerful, but **it's not easy to integrate this functionality into our lives.**
```markdown
<p align="center"> <p align="center">
<h4></h4>_In other words, AI doesn't have a capabilities problem—it has an **integration** problem._</h4> <h4>_In other words, AI doesn't have a capabilities problem—it has an **integration** problem._</h4>
</p> </p>
```
Fabric was created to address this by enabling everyone to granularly apply AI to everyday challenges. Fabric was created to address this by enabling everyone to granularly apply AI to everyday challenges.
### Breaking challenges into components
<img width="2078" alt="augmented_challenges" src="https://github.com/danielmiessler/fabric/assets/50654/31997394-85a9-40c2-879b-b347e4701f06">
### Too many prompts ### Too many prompts
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_. 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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