Personal AI Workflow in Practice

Use your own work to build a repeatable personal AI system with guided practice.

  • Break repetitive work into AI-assisted steps
  • Design reusable GEMs and work instructions
  • Build a personal knowledge base with Notion AI
  • Use Codex for files, data and automation
  • Finish your workflow with instructor support

Course details

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Course highlights

From scattered prompts to a workflow Solve repeated prompting, inconsistent output and scattered information.
Break down work
Separate inputs, processing, checks and outputs.
Save the method
Turn effective instructions into GEMs or templates.
Stabilise results
Use examples and tests to improve quality.
Choose tools by task Understand tool roles without depending on one platform.
  • Gemini/GEMs: research, writing and personal assistants.
  • Notion AI: notes, knowledge and a second brain.
  • Codex: files, data and automation.
  • DeepSeek: model choice and advanced experiments.
Three guided tutorials Apply the methods directly to your own work.

The instructor helps each learner build, test and finalise a workflow, GEM, knowledge base or automation, plus a personal AI playbook.

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Course content

Session 1 | Task breakdown
Find repetitive work worth AI assistance.
  • Work audit
  • Process mapping
  • Choose a practical project
Session 2 | Prompts and GEMs
Build reusable personal work instructions.
  • Prompt structure
  • GEM design
  • Output and checking standards
Session 3 | Notion second brain
Organise work notes, tasks and references.
  • Personal knowledge base
  • Databases and templates
  • Notion AI applications
Session 4 | Codex and model tools
Handle files, data and repetitive work.
  • Codex foundations
  • DeepSeek connection concepts
  • File and data processing
Session 5 | Tutorial 1
Build version one of your personal workflow.
  • Use real work material
  • Step-by-step coaching
  • Build v1
Session 6 | Workflow improvement
Use examples, formats and tests to improve results.
  • Error analysis
  • Test cases
  • Compare quality and time
Session 7 | Tutorial 2
Complete version two with instructor support.
  • Tool roles
  • Simplify the process
  • Build v2
Session 8 | Tutorial 3
Finalise the workflow and personal AI playbook.
  • Full workflow demonstration
  • Personal playbook
  • Improvement plan
Opening course content