A weekly conversation about helpful AI tools that you can use today
This lesson explores the evolving landscape of tool use, focusing on AI's gradual yet transformative impact on various professions. Experts discuss the challenges and opportunities presented by AI integration, emphasizing the need for professionals to understand both the practical applications and underlying processes of these powerful new tools.
This lesson explores the exciting potential of AI in children's education, highlighting the crucial need for ethical development and responsible design of AI tools. By emphasizing hands-on learning, critical thinking, and iterative design based on children's feedback, educators and developers can harness AI's power to foster creativity and understanding while mitigating potential risks.
This lesson introduces flow engineering, a superior alternative to prompt engineering for building robust AI systems. By optimizing entire AI workflows, not just prompts, flow engineering enables faster development, easier troubleshooting, and greater control over complex AI applications.
Leveraging human oversight, HumanLayer's platform integrates AI agents with human intervention for improved accuracy and efficiency. This "human-in-the-loop" approach addresses AI's inherent imperfections, enabling faster workflows across various applications while mitigating risks.
Mozilla's open-source AI Blueprints project simplifies AI tool creation by offering customizable building blocks, empowering both developers and non-developers to build AI applications. This initiative fosters community engagement and lowers the barrier to entry for exploring and contributing to the exciting world of open-source AI.
This lesson demonstrates a new Obsidian plugin that uses Open Interpreter for natural language control of your vault, automating tasks like text modification and image processing. The open-source plugin, still under development, showcases Open Interpreter's potential for streamlining workflows and replacing paid APIs with custom AI solutions.
This lesson explores the technical intricacies of podcast creation, from backend development to broadcasting, and demonstrates how prompt engineering refines AI-generated summaries of promising AI startups from 2023, highlighting the industry's rapid growth and substantial venture capital investment.
This Tool Use episode demonstrates AI-powered tools for code generation and farming. Script-O-Matic generates Python scripts from user prompts, while FarmFriend uses AI to optimize farming tasks, showcasing AI's diverse applications.
This lesson explores the intersection of AI and productivity, showcasing "Calvin," a novel time-tracking and calendar management tool, alongside advancements in open-source LLMs like the efficient 7-billion parameter Mixture-of-Experts model. The discussion also delves into the implications of OpenAI's potential pricing changes and the future of AI-powered developer tools.
This "Tooluse" episode features AI toolmaker Killian, showcasing how the COVID-19 pandemic and GPT-3 fueled a boom in AI development, particularly in video generation. Killian's open-source project, a top GitHub package, exemplifies the power of solving personal problems with AI, transforming a previously developer-only skill into accessible technology.
This lesson demonstrates AI-powered tools automating open-source contributions, from pull request generation to issue tracking. The showcased tools, including `pr-writer` and "TODO Issue Creator," significantly improve developer workflow and encourage broader participation in open-source projects.
This lesson demonstrates how developers use AI tools like Cursor and Cloth to streamline their workflows, from code generation and project management to real-time image creation. The showcased techniques highlight the power of AI in boosting productivity and fostering creativity across coding and digital art.
Learn how Magic UI, a free open-source design tool, simplifies web development using pre-built components and AI integration with Cursor for rapid prototyping. This lesson explores generative UI's potential, its current limitations, and the future of AI-powered design tools.
