Rethinking user interfaces

In the digital realm, dominated by traditional screen-based interactions, the journey through complex menus and screens has become a norm. This approach, especially in enterprise applications, often hinders rather than enhances user experience. It’s time for a paradigm shift, where technology adapts to our natural modes of interaction, paving the way for a more intuitive future.

Beyond Screen-Based UIs

Our journey starts with a critical examination of traditional user interfaces. The dependence on screen-based interfaces, with their complex navigation systems, demands that users adapt to the technology, a challenge that becomes even more evident in corporate settings where efficiency and ease of access are crucial.

Our aim is to transition from complex systems to more streamlined interfaces. I envision a shift from traditional user interfaces to conversational interfaces. The majority of existing chatbots are basic at best. What we’re seeking are assistants that are knowledgeable, capable of logical reasoning, and offer interactions that are as close to human-like as possible. These assistants should be adept at asking questions to bridge any gaps in context and possess a keen awareness of security to ensure information is only shared with authorized users.

In summary, our goal is to transition from conventional user interfaces to personal assistants powered by advanced yet ethical AI.

The Rise of Intent-Driven Development

As described in the book “Intent driven development”, IDD is a transformative approach that shifts the focus from the ‘how’ to the ‘what’. This methodology allows users to articulate their goals in natural language, liberating them from the confines of traditional UIs. The essence of this concept lies in its ability to prioritize user intent, using context as a guide to tailor responses and actions.

Harnessing AI and Context

Integrating AI with context awareness lies at the heart of Intent-Driven Development. It leverages AI to understand user intentions and manage tasks accordingly, tailored to the user’s individual requirements and preferences. This approach streamlines interactions, eliminating the typical complexity of navigating systems.

For effective operation, the AI must assist users in articulating their intentions clearly. Only with a well-defined intent can the system proceed with its execution. This principle underpins the concept of a conversational user interface. Merely engineering prompts is not the goal; rather, the aim is to foster systems that engage in meaningful dialogue, reaching mutual understanding. Through such conversations, the AI can then utilize the process API to articulate the prompt accurately.

The Role of the Process API

The Process API plays a pivotal role in this framework, converting natural language intents into executable tasks. While this translation is hidden from the user, it is fully comprehensible to the system’s underlying mechanisms. The Process API is encapsulated in a structured document that outlines the steps for task execution. The system’s capabilities and security parameters are determined by the available modules, which vary according to the user’s security privileges, determining which modules are accessible or restricted.

Distributed AI: Bridging Client and Server

A pivotal advancement in this realm is the distribution of AI tasks between client and server. The client-side AI interprets user intents, crafting them into a Process API document—a JSON structure that encapsulates the desired actions. This document is then relayed to the server for execution. The server-side AI processes these tasks, returning the outcomes to the client, where further interpretation and interaction occur. This model not only enhances responsiveness but also enables advanced operations like data querying and visualization directly on the client side, leveraging technologies like vector databases and graph generation.

The Technological Horizon

This distributed AI model’s feasibility is bolstered by ongoing advancements in technology. With AI capabilities being integrated into client-side hardware, such as CPUs, the vision of executing sophisticated AI processes locally is becoming increasingly tangible. This progress suggests that the full realization of Intent-Driven Interfaces, with robust client-side AI processing, is within reach, potentially transforming our interaction with digital systems in the coming years.

Envisioning the Future

The journey towards Intent-Driven Interfaces heralds a future where digital interactions are defined by naturalness, efficiency, and accessibility. This future envisions a seamless blend of AI, context awareness, and user intent, transcending the limitations of screen-based interfaces and opening new horizons for human-computer interaction.


The era of bulky and intricate user interfaces is becoming outdated. The momentum is shifting towards more intuitive and natural user interactions, propelled by technological progress. Traditional input devices such as computer screens, keyboards, and mice are gradually losing their prominence as primary interaction tools.

The interface of the future is natural.