Potluck: Dynamic documents as personal software

docuowl/docuowl

🦉 A documentation generator

Living documents and interactive schematics — Selin Jessa

Using LLMs to turn static figures from data analysis, schematics, and publications into interactive widgets as tools for thought

Embark: Dynamic documents for making plans

Gradually enriching a text outline with travel planning tools.

Progressive Summarization: A Practical Technique for Designing Discoverable Notes - Forte Labs

Modern digital tools make it easy to “capture” information from a wide variety of sources. We know how to snap a picture, type out some notes, record a video, or scan a document. Getting this content from the outside world into the digital world is trivial. It’s even easier to get content that is already digital from one app to another. We know how to copy and paste text, save an image from a webpage, archive an email attachment, or import a video file.

AI Focus

NotebookLM is one of my favorite applications in decades. If you haven’t experienced it before, it’s an application that lets you pull in sources from all around - Google Drive, PDFs, public links - collate them into a notebook, and then query or transform that content. Want to turn five research papers into a podcast? Done. Need to extract key takeaways from a collection of articles? Easy. It’s a fundamentally different way of interacting with information that wasn’t possible before large language models.

TractorBeam: Malleable AI support for the way that you read - AI in the Last Mile

Introducing TractorBeam, a browser extension to develop custom AI highlighting systems on PDFs

Visual-Meta

Visual-Meta is an approach to augmenting documents in order to enable rich interactions in a robust manner.

Nutshell: make expandable, embeddable explanations

a tool to let your readers dive into details

Denicek: Computational Substrate for Document-Oriented End-User Programming

As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

PersonaEval: Persona-Based User Simulation for Evaluating Interactive Applications

Real user studies are important for understanding how people interact with systems under test or already deployed. In practice, however, they are often costly, time-consuming, and difficult to scale. To address these challenges, we introduce PersonaEval, a persona-based user simulation framework that approximates real-user behavior across diverse interactive settings. PersonaEval connects simulated users drawn from existing persona datasets to task-specific application interfaces and collects the interaction trajectories and outcomes. PersonaEval provides a plug-and-play evaluation workflow in which the application being evaluated can be easily changed. In this demo, we present PersonaEval on three forms of interactive applications: surveys, chatbots, and web applications. Together, these examples show that PersonaEval can support repeatable, parallelizable, and scalable evaluation across different interaction settings, while producing user-oriented feedback and task-specific behavior.