Your Daily AI Toolkit

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foundations

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• Map the four AI tool families and build a default stack of three or four tools for your week
• Turn messy inputs into a polished document and a stakeholder-ready deck with one repeatable 4-step pattern
• Triage your inbox and run the post-meeting chain from transcript to summary to actions to per-person follow-up
• Brief a deep-research run and apply the 3-source rule to keep fabricated facts out of your work
• Decide when a browser agent earns delegation versus doing the task yourself
• Diagnose whether you are M365-native, Workspace-native, or hybrid and route each AI task accordingly
• Evaluate any new AI tool using a repeatable checklist so your stack stays current

• Url: https://aiacademy.anthropos.work/chapters/daily-ai-toolkit-intro/ · Your Daily AI Toolkit: Start Here · Position: 1 · A 12-minute orientation across the five-chapter Daily AI Toolkit — name the four AI tool families that the foundation chapter teaches, see how the three daily-surface chapters (docs/decks, email/meetings, research) apply that framework, recognize the ecosystem-routing chapter as the meta-decision overlay, and pick the right starting chapter based on which surface is biting hardest
• Url: https://aiacademy.anthropos.work/chapters/your-ai-tool-stack/ · Your AI Tool Stack · Position: 2 · Map the four AI tool families, build a default stack of three or four tools that fits your week, and learn the meta-skill of evaluating any new tool that lands
• Url: https://aiacademy.anthropos.work/chapters/documents-and-decks/ · AI for Documents & Decks · Position: 3 · From a pile of messy inputs to a polished document and a stakeholder-ready deck — one repeatable 4-step pattern, executed across M365, Workspace, or hybrid stacks
• Url: https://aiacademy.anthropos.work/chapters/email-meetings-comms/ · AI for Email, Meetings & Comms · Position: 4 · Triage your inbox in minutes, capture meetings cleanly with the right notetaker, and run the post-meeting chain (transcript → summary → actions → per-person follow-up) so nothing falls out — with the privacy and consent layer that keeps it professional
• Url: https://aiacademy.anthropos.work/chapters/ai-for-research/ · AI for Research · Position: 5 · Replace 12 browser tabs with cited answers in minutes — name the four research surfaces, brief deep-research runs that compress 4 hours of manual work into 25 minutes of yours, decide when a browser agent earns the click delegation, and apply the 3-source rule that keeps fabricated facts out of your work
• Url: https://aiacademy.anthropos.work/chapters/pick-your-productivity-stack/ · Pick Your Productivity Stack · Position: 6 · Diagnose whether you are M365-native, Workspace-native, or hybrid — then route every AI task with rules that fit the ecosystem you actually live in, and know when to leave Chapter 2.1 for the deep dives (Copilot Mastery, future Workspace AI, AI Coding for Beginners)

• Map the four AI tool families and build a default stack of three or four tools for your week
• Turn messy inputs into a polished document and a stakeholder-ready deck with one repeatable 4-step pattern
• Triage your inbox and run the post-meeting chain from transcript to summary to actions to per-person follow-up
• Brief a deep-research run and apply the 3-source rule to keep fabricated facts out of your work
• Decide when a browser agent earns delegation versus doing the task yourself
• Diagnose whether you are M365-native, Workspace-native, or hybrid and route each AI task accordingly
• Evaluate any new AI tool using a repeatable checklist so your stack stays current

It is built for professionals and knowledge workers who use AI day to day, such as operations, business, and admin roles. No technical background is assumed, and it works whether your company runs Microsoft 365, Google Workspace, or a mix of both.

Course Mode: online · Course Workload: PT130M · Mode: online