illumi

Product Introduction

1. Definition: illumi is a multi-modal AI visual workspace and multiplayer whiteboard designed for high-fidelity knowledge management and structured thinking. It functions as a "digital memory layer" that bridges the gap between raw brainstorming and polished content production by utilizing a card-based spatial interface integrated with multiple Large Language Models (LLMs).

2. Core Value Proposition: illumi exists to solve the "AI slop" problem—where generic inputs lead to low-quality, generic AI outputs. By providing a dedicated space to structure context and refine thinking before generation, illumi enables users to transform messy, scattered input into publish-ready work. It prioritizes context retention and visual organization, ensuring that complex ideas are preserved and easily accessible for AI-assisted execution.

Main Features

1. Spatial Context Management & AI Control Layer: illumi provides a visual canvas where users capture ideas as cards and shapes. Unlike traditional linear note-taking apps, it offers a context layer where users can precisely control what information the AI sees. This allows for the refinement of inputs, removal of noise, and adjustment of data points as thinking evolves, ensuring the AI output is grounded in specific, high-quality data.

2. Sticker to Note & Note Collector: The "Note Collector" feature enables frictionless data gathering via shared links or QR codes, allowing participants to submit ideas to the board without requiring an account. The "Sticker to Note" engine then instantly synthesizes these individual inputs—often from sticky notes—into structured Note Cards. This eliminates manual copy-pasting and uses AI to process and organize group input into actionable insights immediately after a session.

3. Multi-Model LLM Orchestration: illumi integrates a wide array of state-of-the-art AI models into a single subscription, including Claude, GPT-4, Gemini, Grok, DeepSeek, and specialized image models like Stable Diffusion. This allows users to toggle between different models for specific tasks—such as brainstorming, technical drafting, or image generation—on the same canvas without managing multiple API keys or subscriptions.

4. Integrated Focus Mode: For deep work, illumi includes a Focus Mode that transforms any card into a distraction-free document editor. This allows users to transition seamlessly from big-picture spatial mapping to long-form writing. Once Focus Mode is closed, the user is returned to their exact position on the visual board, maintaining the structural relationship between the document and the surrounding context.

Problems Solved

1. Pain Point: Fragmented Information and "Context Loss": Most teams lose critical thinking during the transition from a whiteboard (Miro) to a document (Google Docs) or a wiki (Notion). illumi solves this by acting as a persistent workspace where the brainstorming context is used directly to fuel the final output, preventing "compile-restart" fatigue.

2. Target Audience:

• Knowledge Workers & Content Creators: Who need to synthesize research into newsletters, blogs, or reports.
• Product & Innovation Managers: Who facilitate collaborative workshops and need to turn sticky notes into product requirements.
• Software Architects & Developers: Who use the platform as a "digital memory layer" to organize complex documentation for LLM-assisted coding and marketing.
• Consultants: Who require a tool to organize multi-source data and extract synthesized insights for clients.

3. Use Cases:

• Collaborative Strategic Planning: Gathering team input via QR codes and using AI to draft a strategy document based on those specific constraints.
• Developer Marketing Content: Organizing technical research and using the visual graph to manage interrelated concepts for educational content.
• Knowledge Synthesis: Importing disparate data sources into cards and using AI to identify patterns and "fresh ideas" that traditional tools overlook.

Unique Advantages

1. Differentiation: Upstream Creation vs. Downstream Storage: While tools like Notion and Confluence excel at storing finished documents (downstream), illumi is purpose-built for the messy process of creation (upstream). It is not just a storage unit but a thinking engine where ideas are structured and refined before they reach the final documentation stage.

2. Key Innovation: The Visual Memory Layer: Unlike traditional AI interfaces that rely on a single-thread chat, illumi uses a visual graph. This approach allows users to manage complex, non-linear ideas and selectively feed them into AI models. This "spatial intelligence" ensures the AI has a high-resolution understanding of the user's specific context, resulting in highly relevant, non-generic outputs.

Frequently Asked Questions (FAQ)

1. How is illumi different from Miro or Figma? While Miro and Figma focus on visual collaboration and design, they lack integrated AI-powered knowledge management. illumi is designed for AI-driven execution; it turns the visual board into persistent team knowledge that feeds directly into output generation, whereas Miro boards often become stagnant after a meeting ends.

2. Does illumi replace Notion or Confluence? No, illumi complements them. illumi is where you do the "hard work" of thinking, brainstorming, and drafting with AI. Once the work is polished and publish-ready, it is exported to Notion or Confluence for long-term storage and organizational wiki use.

3. Can I use multiple AI models like Claude and GPT-4 in illumi? Yes. An illumi subscription provides unified access to multiple models including Claude, GPT, Gemini, Grok, and DeepSeek. This allows you to use the best model for any given task on a single canvas without the need for multiple separate AI subscriptions or complex API configurations.

4. Why is "context" important for AI performance in illumi? Providing AI with zero context results in "AI slop"—generic, low-value content. illumi allows teams to gather files, past decisions, and constraints onto a shared canvas so that when the AI is activated, it produces high-precision results tailored to the team's specific needs rather than generic internet data.