Agentive AI

The n8n community is a valuable resource for those embarking on automation projects, especially those seeking to build production-ready tools. One user, /u/Abject-Violinist312, is working on a portfolio project to create an ongoing operational tool for companies to convert Excel spreadsheets into branded PDFs. This project presents several challenges, including template integration, handling mixed data […]

## A Discussion on Praxis in Automation: Enacting Theory for Human-Centric Outcomes The concept of “Praxis” – the bridge between theory and practice – offers a compelling lens through which to examine the potential of automation. Project Praxis, an initiative exploring this concept, aims to shift the focus of automation away from mere efficiency and

The realm of AI agents is constantly evolving, offering exciting possibilities for automating tasks and extracting information from various sources. One interesting question posed by a Reddit user is whether it’s possible to build an AI agent that can process visual information from a YouTube video and convert it into structured formats like Excel or

The world of AI agents is exciting, but it can also be overwhelming. There are constant new tools and LLMs being released, making it feel like you’re constantly falling behind. This can lead to a sense of information overload and imposter syndrome, especially if you’re just getting started. Many people find themselves caught in a

The use of large language models (LLMs) is expanding rapidly, and new applications emerge daily. One fascinating area is using LLMs to power qualitative calculators and analyzers. This is particularly relevant for estimating costs or values in subjective domains, like used car maintenance, property investment, or home insurance gap analysis. These scenarios present unique challenges

Every day, developers and creatives are inundated with information: articles, research papers, code snippets, AI responses, and newsletters. A significant challenge is deciding what to save and how to organize it effectively. The constant flow of new data can quickly become overwhelming, making it difficult to retrieve and utilize valuable information later. Several AI-powered knowledge

Every week, a dedicated thread emerges on the AI Agents subreddit, acting as a vibrant showcase for the latest advancements in AI agent and LLM application development. This recurring initiative, initiated by user /u/help-me-grow, provides a crucial platform for developers to unveil their projects, share their progress, and garner valuable feedback from the community. The

Building a multilingual legal agent is an ambitious project with several intricate challenges. It requires integrating multiple technologies, including natural language processing, database management, and user interface design, to create a tool that can effectively navigate legal complexities. The user desires a system that can access and search a real-time database for specific regulations. The

The University of Zurich’s unauthorized AI experiment on r/ChangeMyView (CMV) has sparked a heated debate about the ethics of AI research. The researchers deployed bots to test persuasive AI-generated arguments, prompting widespread outrage for their lack of transparency and consent from the platform’s users. While the researchers’ tactics were undeniably problematic, the incident highlights a

Building robust integrations between large language models (LLMs) and applications presents unique challenges. These challenges arise from the inherent unpredictability of LLMs, where their outputs can be inconsistent and prone to errors. To overcome these hurdles, developers have discovered crucial engineering patterns that enhance the reliability and effectiveness of LLM tool-calling. One such pattern is