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In the landscape of technological evolution, 2023 marked a significant milestone with the advent of readily available AI tools, ushering in an era where artificial intelligence applications burgeoned, promising to redefine how we tackle everyday tasks. These advances cut through, to the point where everyone and their Nan had heard of ChatGPT.

Yet, amidst this digital renaissance, a paradox emerged—not of capability, but of integration. The true challenge lay not in the power of AI itself but in weaving it into the fabric of our daily lives. A difficulty in ensuring that your time is used to create value. 1

Cutting through the crap and actually producing something of worth is the new challenge - one that we in the tech and science space are used to tackling.

Enter Fabric, a tool born out of the necessity to bridge the gap between easy to use tool and value generation. Its mission is simple: make AI accessible and integral to solving the challenges we face every day.

At its core, Fabric champions a philosophy that views AI not as an end but as a means to amplify human creativity. It’s a tool designed to augment, not replace, the ingenuity inherent in every one of us.

From idea generation, information extraction and writing improvements, it is a tool kit to help you generate the content you need when and where you need it.

The essence of technology, after all, is to serve humanity—to make our lives easier, our work more productive, and our leisure more enjoyable. Hence, when we talk about integrating AI into our lives, we start with a fundamental question: what human problems are we trying to solve? This approach necessitates breaking down complex issues into manageable components, each addressed with precision through AI.

One of the most pressing challenges in this new AI-driven landscape is managing the deluge of prompts—those AI instructions that guide the technology in performing tasks. While structured prompts are invaluable, their sheer volume can be overwhelming. Discovering new prompts, assessing their quality, and managing their versions can quickly become a Herculean task.2

Fabric’s solution to this conundrum is both elegant and practical. It offers a repository of what it calls Patterns (carefully curated prompts designed for a wide array of activities) from extracting insights from multimedia content to generating social media posts. These Patterns are crafted not just for functionality but for clarity and ease of use, employing Markdown for readability and editability. This approach ensures that both creators and users can easily understand and modify these prompts, enhancing their utility and effectiveness.

Moreover, Fabric emphasizes clear instructions and structured guidance in its Patterns. By focusing on the System section of the prompt, Fabric has found a formula that maximizes efficacy. This methodological rigor is not set in stone; it’s adaptable, ready to evolve based on new insights or data. Set-up of this is simple, and can be run from a terminal. However, if this is to much, simply copying and pasting these prompts into a LLM would also offer great outputs.

In essence, Fabric embodies a vision where AI serves as a magnifier of human creativity. It’s a testament to the belief that the true potential of technology lies in its ability to empower individuals to solve problems, big and small. By breaking down barriers to integration, Fabric is not just making AI more accessible; it’s making it an indispensable ally as we navigate the complexities of modern work and, indeed, life.

I will use, and watch, Fabric as it moves forward. It is a idea generators dream and helps us get to the point where we can generate more value for our time.


  1. I mean this not in stuffy Corporate speak where everyone is squeezed for value in a Dickensian Workhouse, but, in the idea that we can spend our time doing work that is valuable to the us, the creator of that work. ↩︎

  2. Albeit something I think one may consier a worthwhile action. Having your own repository of known good prompts that help you in your repetative tasks can be invaluable and something I would highlt recommend. ↩︎