Mental models, prompting, verification, personal systems

AI for Knowledge Work and Decision Support

AI is most valuable in daily work when it reduces cognitive overhead without taking away accountability. This module covers research synthesis, meeting preparation, document review, brainstorming, planning, decision support, and communication drafting.

Deep dive summary

What this module actually teaches.

Passage 1AI is most valuable in daily work when it reduces cognitive overhead without taking away accountability. This module covers research synthesis, meeting preparation, document review, brainstorming, planning, decision support, and communication drafting.

Passage 2Learners build workflows that combine AI speed with human judgment: ask for assumptions, request alternatives, compare tradeoffs, cite source material, and convert messy notes into structured next actions. The module is explicit about where AI should not be trusted blindly.

Passage 3The final result is a practical personal operating system for AI-assisted work. Users can move faster while maintaining clarity, evidence, and ownership of final decisions.

Learning operating system

Module prerequisites, concepts, outcomes, and artifacts

Prerequisites

  • Basic prompting comfort

Key concepts

  • decision support
  • research synthesis
  • tradeoff analysis
  • meeting workflows
  • assumption checks
  • source grounding

Target audience

  • Professionals who want to use AI responsibly for research, planning, writing, and decision support.

Outcomes

  • Design AI workflows for common knowledge-work tasks
  • Use AI to surface tradeoffs without outsourcing judgment
  • Convert unstructured information into actionable plans

Artifacts

  • knowledge-work workflow library
  • decision brief template
  • AI meeting preparation guide

Code example

Real patterns, ready to copy into your editor.

A code reference card that frames this module's concepts in real syntax. Copy any example to study it or adapt it directly in your own editor.

Copy-ready snippets
curriculum/fd-ai-for-knowledge-work.tsts
1type ModuleBrief = {2  track: string;3  difficulty: string;4  keyConcepts: string[];5  reviewGate: 'human-review-required';6};7 8export const moduleBrief: ModuleBrief = {9  track: 'Foundations',10  difficulty: 'Intermediate',11  keyConcepts: [12    'decision support',13    'research synthesis',14    'tradeoff analysis',15    'meeting workflows',16    'assumption checks',17  ],18  reviewGate: 'human-review-required',19};