AI features on Ultrathink | Capture, organise and connect your knowledge

AI Canvas overview

Mon, 01 Jan 0001 00:00:00 +0000

AI Canvas overview

AI Canvas is Ultrathink’s multi-modal prompt interface for working with your knowledge base. Rather than switching between your saved entries and a separate AI tool, AI Canvas lets you pull in specific pieces of your knowledge, combine them with a prompt, and get a thoughtful response grounded in your own content.

Think of it as a workspace where your captured knowledge meets AI reasoning.

Key features

AI Canvas brings together several capabilities in a single interface:

Creating AI canvases

Mon, 01 Jan 0001 00:00:00 +0000

Creating AI canvases

This guide walks you through creating an AI Canvas from start to finish, from attaching your knowledge to saving the response.

Before you begin

AI Canvas works best when you have entries in your knowledge base with marked bits (highlighted snippets or important sections). If you have not marked any bits yet, open an entry in the detail panel and highlight the passages you want to use as context.

AI Chat conversations

Mon, 01 Jan 0001 00:00:00 +0000

AI Chat conversations

AI Chat is Ultrathink’s conversational interface for interacting with AI about your knowledge base. Unlike AI Canvas, which is built around a single prompt, AI Chat lets you have a back-and-forth dialogue where each message builds on the previous ones.

What AI Chat is

AI Chat gives you a chat-style interface where you can ask questions, get answers, and then follow up naturally. The AI has access to your knowledge base, so it can draw on your saved entries, summaries, and metadata to provide relevant, personalised responses.

Auto-generated summaries

Mon, 01 Jan 0001 00:00:00 +0000

Auto-generated summaries

Every entry you save in Ultrathink goes through an AI processing pipeline that automatically summarises, classifies, and connects your content. This happens in the background, so your knowledge base gets smarter with every entry you add.

The 4-step AI pipeline

When you save an entry, it passes through four processing steps in sequence:

Entry saved --> [1. Summary] --> [2. Classification] --> [3. Relationships] --> [4. Similarity] --> Done

Each step builds on the previous one, enriching your entry with metadata and connections.

AI-powered search

Mon, 01 Jan 0001 00:00:00 +0000

AI-powered search

Ultrathink’s AI-powered search lets you query your knowledge base using natural language. Instead of relying on exact keyword matches, you can ask questions the way you would ask a colleague, and the AI will find relevant entries and generate an answer.

How AI search works

When you submit a search query, the AI:

Interprets your intent: Understands what you are looking for, even if you do not use the exact words stored in your entries
Searches semantically: Finds entries that are conceptually related to your query, not just those containing the same keywords
Generates an answer: Produces a written response that synthesises information from your matching entries
Cites sources: Links back to the specific entries that informed the answer

This means a search for “that article about making APIs faster” can find an entry titled “REST API Performance Optimisation Techniques” even though the words do not match exactly.