AI
In this tutorial, Dan from Relevance AI demonstrates how to use two code steps—JavaScript and Python—in the Tool Builder. The example showcases a tool that takes a news topic, scrapes articles from BBC.com, and summarizes them using an LLM (Large Language Model). This guide covers how to configure code steps,…
Introduction to Triggering AI Agents with Zapier In this tutorial, Dan from Relevance AI demonstrates how to trigger AI agents using Zapier, specifically when a new row is added to a Google Sheet. This guide outlines the step-by-step process of connecting Relevance AI to Zapier, setting up triggers, and automating…
Dan from Relevance AI is joined by Jason (AI Jason) to discuss OpenAI’s newly released 01 models. This latest model series, comprising 01 Preview and 01 Mini, brings significant improvements in reasoning abilities, setting it apart from previous GPT models. What Makes 01 Models Different? The 01 models introduce a…
Andrew, an AI Solutions Engineer at Relevance AI, shares his top tips for developing high-performing AI agents. With a background in software engineering and computer science, Andrew emphasizes the importance of clear prompts, task management, and domain expertise. This article explores his expert strategies for optimizing AI agent development. Success…
In this tutorial, Dan from Relevance AI demonstrates how to create an A/B test for personalized transactional emails using AI agents. This step-by-step guide explores how AI agents can generate different email styles, integrate with Stripe via Zapier, and perform A/B tests based on user interactions. Using Relevance AI for…
LLMs offer both opportunities and challenges in AI development. In a recent presentation, Charlie, an AI engineer at Relevance AI, provided expert insights on how to work effectively with LLMs, when to use tools versus agents, and the best strategies for debugging. This article explores key takeaways and actionable strategies…
In a recent discussion, Relevance AI’s head of sales, Ro, shared a compelling demonstration of how AI tools and agents operate differently. This article explores the key differences between AI tools and agents, offering practical guidance on when to use each for maximum effectiveness. Success Stories: Building Effective AI Tools…
In recent discussions, OpenAI’s Swarm has emerged as a promising new framework for building multi-agent systems. Dan from Relevance sat down with Jason, also known as AI Jason, to delve into the implications of Swarm for developers and AI enthusiasts. This article explores Swarm’s key features, its impact on multi-agent…
AI Quality Assurance: Lessons from an AI Engineer In the fast-evolving world of artificial intelligence, maintaining quality control for AI agents is both a complex challenge and an exciting opportunity. Anastasia, an AI Engineer at Relevance, shares her key learnings from overseeing AI quality assurance. This article explores best practices,…
The Arrival of AI: A Game Changer for Society On November 30th, 2022, the world witnessed a monumental shift with the release of ChatGPT, a powerful artificial intelligence (AI) tool that became accessible to the public for free. This moment marked the democratization of AI, allowing users to engage in…