Observed Signal · Aug 19, 2026 · Market Signal · Source: U of Digital · Impact: 3.5/5

We Taught Claude How U of Digital Teaches. Now It Helps Us Scale.

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See how U of Digital built a Claude Ask Your Org workspace with instructions, files, tools, skills, and memory so every conversation starts with context.

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Primary Reporting: U of Digital•Published: Aug 19, 2026

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Large Language Models (LLM) & AIMay 25, 2026

Claude's Hidden Features Transform Workflows

This article surveys lesser-known capabilities of Claude beyond simple chat: a very large context window for uploading long documents and codebases; 'Artifacts' that produce interactive outputs (dashboards, mini web apps, diagrams); persistent 'Projects' workspaces that keep context, files, and custom instructions; a Model Context Protocol (MCP) that allows Claude to interact with external tools, APIs, databases and local systems; and Connectors that link Claude to platforms like GitHub, Google Drive and Slack. The author highlights Claude's strengths in long-form reasoning and more natural writing, arguing these combined features shift Claude from a transient chatbot toward a collaborative workspace and productivity layer.

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Large Language Models (LLM) & AIApr 13, 2026

Tutorial: Automate Work with Anthropic's Claude Cowork

JJ Englert of Tenex presents a step-by-step, zero-to-one tutorial on Claude Cowork, Anthropic’s desktop tool for building project-based, LLM-powered automations without coding. The episode demonstrates connecting local folders as projects, creating a persistent "brain" file containing user preferences, and using one-click connectors (Gmail, Slack, Notion, Google Calendar) to enable actions like analyzing sent email to learn tone, drafting but not sending messages, and creating scheduled morning debriefs. Englert also shows a multi-agent "sub-advisory-board" technique for multi‑persona review, permission controls per connector, and argues shared-memory projects yield more consistent outputs than ad‑hoc chats. The episode includes demos, timestamps, and links to supporting tools and documentation.

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Large Language Models (LLM) & AIAug 10, 2026

AI Educator Shows Claude Code Business Workflows

Grace Clarke, an AI educator and former marketing consultant, describes how she taught herself Claude Code and built a curriculum and business tooling on top of it. She uses Claude-based tools — including an hourly pipeline operator, an interactive HTML proposal maker, a voice-guide skill file to keep outputs in her voice, and a custom Gmail replacement built via Cowork — to run her service business. The interview/case study covers her workflow, handing off Claude sessions as Markdown to Cowork, her focus on “intent engineering” over prompt engineering, and everyday Claude use for tasks like workout tracking and plant care.

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