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Module 3

AI Productivity & Deep Work

Reclaim 3 hours every single day

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Lessons

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3.1

The AI-Augmented Workday

Locked25 min

3.2

AI Email Mastery

Locked40 min

3.3

AI Research & Summarization

Locked45 min

3.4

Your AI Second Brain

Locked60 min

3.5

AI Meeting Intelligence

Locked35 min

3.6

AI-Accelerated Learning

Locked40 min

Expert Lens

Founder

Think like a founder: what user pain, distribution channel, pricing, and retention loop does this AI capability unlock?

Systems

Think like a first-principles systems builder: separate demos from durable products, and measure the bottleneck the model actually removes.

Infrastructure

Think like an AI infrastructure leader: account for data, latency, cost, reliability, evaluation, and deployment constraints before scaling.

Objectives

  • Automate email, calendar, and research with AI
  • Build a personal AI second brain
  • Create custom AI assistants for recurring tasks
  • Measure and achieve 10× personal output

Capstone

Personal AI Operating System

Deploy your complete AI-augmented workflow: email, research, planning, meetings, and learning with AI at every step.

A running system saving a documented minimum of 10 hours per week.

Real Examples

  • Build an inbox triage workflow that drafts replies but keeps final send authority with the user.
  • Create a personal knowledge base for recurring decisions, client context, and meeting history.
  • Measure weekly time saved and quality improvement instead of relying on vibes.

Mastery Checks

  • Explain the core concept without buzzwords.
  • Build a small working artifact, not just a note or prompt.
  • Define an evaluation rubric and test against at least five edge cases.
  • Estimate operational cost, failure modes, and human review requirements.

Resources

Back to catalog
OpenAI Prompt Engineering Guide
OpenAI

Use as the baseline for practical prompting, context design, and structured task instructions.

Anthropic Prompt EngineeringAnthropic

Compare prompting guidance across model families and learn how to evaluate behavior, not just single outputs.

Hugging Face CourseHugging Face

Use this for model, dataset, transformer, and open-source deployment fundamentals.