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AI got cheap enough that Duolingo’s most expensive plan may not survive it. I read the earnings call transcript and opened the app to see what is actually changing for learners.
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Use Claude for everyday work tasks: hold your first conversation, organize work with projects and artifacts, apply skills, connect tools, and run deep research.
Learn to work with an AI coding agent: run Claude Code in the terminal and IDEs, use the Explore-Plan-Code-Commit workflow, and customize it with CLAUDE.md, subagents, MCP servers, and hooks.
Run end-to-end tasks in Claude Cowork: set up global instructions, projects, skills, and plugins, and work inside Chrome, Word, Excel, PowerPoint, and Outlook.
Collaborate with AI beyond "cool prompts": apply the 4D framework — delegation, description, discernment, diligence — to plan projects, craft prompts, and critically evaluate AI outputs.
Apply the 4D Framework of Delegation, Description, Discernment, and Diligence to teaching: use AI as a thinking partner for course design, learning materials, and authentic assessments.
Collaborate with AI as a thinking partner: apply the 4D framework — Delegation, Description, Discernment, Diligence — to coursework and career planning while staying the human in the loop.
Apply the 4D Framework to your teaching: use AI as a thinking partner for course design, coherent learning materials, and authentic assessments that build student AI fluency.
Apply the 4D Framework — Delegation, Description, Discernment, Diligence — to nonprofit work: craft context-rich prompts, evaluate AI outputs, and automate workflows while safeguarding data privacy.
Teach Claude once instead of repeating yourself: build Skills with SKILL.md frontmatter, progressive disclosure and allowed-tools, then share them via repositories, plugins, and subagents.
Delegate work to isolated sub-agents in Claude Code: build them with the /agents command, design structured outputs and limited tool access, and avoid delegation anti-patterns.
Build a mental model of how language models work: next token prediction, knowledge limits, context windows, and steerability, plus a diagnostic for unexpected outputs.
Build AI collaboration skills for everyday business tasks with the 4D Framework: context-rich prompting, critical evaluation, responsible customer-data handling, and a short written AI use policy.
Apply the 4D Framework — Delegation, Description, Discernment, Diligence — to building products with AI: write acceptance tests, evaluate AI-generated code, and critique AI-built user experiences.
Build on the Claude Platform: send API requests, pick between Opus, Sonnet and Haiku, hand-build agent loops with tool use, Skills, MCP servers and managed agents.
A work-along rollout plan guides five dependent Claude Enterprise decisions, showing choices, ownership, and what changes when decisions are revisited.
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