The Week's Top Changes, Tutorials and Insights

We're thrilled to share the latest updates and improvements to ChatBotKit over the past week. Our team has been working hard to make ChatBotKit even more powerful, intuitive, and user-friendly.

Here's what's new in ChatBotKit:

• ️‍🔥 ChatBotKit Terraform Provider - Manage your ChatBotKit conversational AI infrastructure as code with the new official Terraform Provider - bringing enterprise-grade infrastructure management to AI agent development.
• ️‍🔥 Contact-Based NextAuth Adapter for Single-Account Multi-User Authentication - Introducing the new ChatBotKit Contact Adapter for NextAuth.js, enabling passwordless authentication for multi-user applications where users are managed as contacts within a single ChatBotKit account.
• ️‍🔥 Dashboard Notifications for Real-Time Event Monitoring - Introducing the new notifications button in the ChatBotKit Dashboard, enabling real-time visibility into error and warning events for proactive monitoring of your AI applications.
• ️‍🔥 - ChatBotKit now supports OpenAI's GPT-image-1.5 model, bringing enhanced image generation and editing capabilities to AI agents with improved quality and creative control.

You may also be interested in some of our latest tutorials:

• 💡 How to Build an AI Agent Declaratively with Terraform - Learn how to use the ChatBotKit Terraform Provider to define and deploy AI agents as infrastructure as code. This tutorial covers setting up the provider, creating bots with datasets and skillsets, and deploying integrations.

Here are some topics you may find interesting:

• 🎓 What is Reranking - Reranking enhances information retrieval systems by refining the order of documents based on relevance. This process involves advanced models that analyze query-document pairs for improved accuracy, leading to substantial gains in retrieval quality across various domains.
• 🎓 How Accurate is Chat GPT - Explore ChatGPT's accuracy in various tasks, from creative writing to coding assistance. Understand its strengths, such as general knowledge, and limitations like outdated information and hallucinations. Learn best practices for effective use.

New and updated examples to help you get started.

• 🚀 Dual-Agent Programmable Workflows - A two-agent architecture where a Workflow Architect programs custom scripts and automations while a Task Runner executes them on demand.
• 🚀 System Diagnostics Agent - An AI agent that monitors and tests its own capabilities, producing diagnostic logs about available skillsets, abilities, and system health.
• 🚀 Conversation Analytics Agent - An AI agent that analyzes conversation patterns, produces statistical insights, and stores analytics reports in persistent files.
• 🚀 Workflow Orchestrator Agent - An AI agent that executes multi-step workflows with detailed tracing, demonstrating dynamic skillset loading and comprehensive workflow state management.
• 🚀 Second Brain - An AI-powered personal knowledge management and productivity system that acts as your digital second brain, capturing, organizing, and surfacing knowledge on demand.
• 🚀 Skillset-based Dynamic Skill Reference Architecture - A reference architecture blueprint for an AI agent that can dynamically load and utilize skills from skillsets.
• 🚀 File-based Dynamic Skill Reference Architecture - A reference architecture blueprint for an AI agent that can dynamically load and utilize skills from its environment.

Special offers and much more! Stay tuned for next week's newsletter.