Boosting AI Interactions: Wizard Forms & Chat Architecture

Hey folks! Ever felt like interacting with AI could be even smoother, especially when it comes to getting inputs or guiding complex processes like deep research architecture generation? Well, get ready, because we're rolling out some super cool updates that will revolutionize how our AI systems gather information from you and how you interact with them. We're talking about a significant leap forward in user experience and system efficiency, making everything feel more intuitive and conversational. This isn't just a minor tweak; it's a fundamental shift in our underlying architecture designed to make your journey with our AI a lot more enjoyable and productive. We're extending our FormArtifact capabilities to fully embrace wizard-style inputs and strategically migrating our Deep Research architecture generation feature to a slick, chat-based system. This means saying goodbye to clunky forms and hello to dynamic, guided conversations that adapt to your needs in real time. Our main goal here is to unify the entire user input pattern, making it crystal clear: when our AI needs your input, it's going to create a FORM artifact that feels natural, whether you're in a task chat or generating complex architecture blueprints. This consistency is key to a seamless user experience across different parts of our platform. Imagine a world where every interaction feels like a natural dialogue, where the system intuitively understands what you need and guides you with easy-to-follow steps. That's precisely the future we're building, making our powerful AI even more accessible and user-friendly for everyone involved, especially within communities like stakwork and hive, where collaborative, efficient tools are paramount. This isn't just about making things look pretty; it's about fundamentally improving how information flows, ensuring accuracy, and reducing friction in every single interaction you have with our AI.

The Grand Plan: Unpacking Our Implementation Journey

Alright, guys, let's dive into the nitty-gritty of how we're pulling this off. This isn't just a flip of a switch; it's a carefully orchestrated plan involving several key phases, each building upon the last to create a robust and intuitive system. Our journey to enhance AI interactions and streamline deep research architecture generation involves a series of strategic steps, ensuring that we deliver a polished, efficient, and user-friendly experience. We're talking about fundamental changes to our form handling, the creation of reusable UI components, database schema adjustments, new API endpoints, and critical updates to our webhook handlers. The overarching goal is to seamlessly integrate wizard-style inputs into our existing FormArtifact system and transition the Deep Research architecture generation to a dynamic, chat-based experience. This new approach will unify how our AI requests and receives user input, making interactions across the platform more consistent and intuitive. Instead of disjointed forms or separate feedback mechanisms, everything will flow through a unified FORM artifact within a chat message, creating a more conversational and guided user journey. This migration is crucial for improving user satisfaction, reducing cognitive load, and boosting the overall efficiency of our AI-powered workflows. We're meticulously planning each phase to minimize disruption and ensure a smooth rollout, leveraging feature flags to control access and gather feedback. This whole endeavor is about making our platform smarter, more responsive, and ultimately, a more powerful tool for everyone. The beauty of this approach lies in its modularity and scalability; by designing shared components and clear API boundaries, we're not just solving a current problem but laying the groundwork for even more sophisticated AI-driven interactions in the future. So, let's break down each phase and see how we're transforming the way you interact with our AI, making it a truly collaborative partner in your endeavors.

Phase 1: Crafting Smarter Form Inputs (Extending FormContent Types)

First up on our exciting journey, we're giving our FormContent a serious upgrade in src/lib/chat.ts. This is where we lay the foundation for those slick, wizard-style inputs we've been talking about, moving beyond simple button options to truly interactive question-and-answer flows. Historically, our FormContent primarily handled actions via simple buttons, which was great for quick decisions, but it limited our ability to gather more nuanced or multi-step information from you. Now, we're introducing new FormInputType options: text, single_choice, and multiple_choice. Imagine being able to ask a user an open-ended question, let them pick just one option from a list, or even select several choices, all within a familiar chat interface! This dramatically expands the possibilities for how our AI can interact with you to gather necessary details for complex tasks. For instance, when generating a deep research architecture, the AI might ask a series of clarifying questions about specific requirements, constraints, or preferred technologies. Instead of a rigid form, you'll get these questions presented dynamically, one after another, guiding you through the process step-by-step. Each FormInput will come with an id, a question, its type, and optionally options (for choices), required status, and even a placeholder for text inputs. This level of detail ensures that our AI can craft highly specific and user-friendly prompts. The real genius here is that we're extending the existing FormContent interface in a backwards-compatible way. This means all your current forms that rely on the actionText, webhook, and options will continue to work perfectly without any issues. We're just adding new, optional fields like inputs, submitLabel, showReview, and allowCustomText. These new additions are specifically designed to support the rich, guided experience of wizard forms. The inputs array will hold all the individual questions for a wizard, submitLabel will customize the final submission button, showReview will let users double-check their answers before sending, and allowCustomText provides flexibility for more open-ended responses. When you submit your answers to one of these new wizard forms, the FormResponse structure will beautifully package everything up, including an answers object (mapping input IDs to their selections or text) and a formatted string, which is super handy for displaying a clear