What you’ll learn
- Distinguish custom GPTs, Copilot Agents and Gemini Gems
- Use the MUTT model and a decision tree to select EA assistant candidates
- Review executive-support use cases/case studies and build a personalized assistant
What does the learning look like?
- Four on-demand sessions and four bonus resources
- Includes learners build a working assistant.
- Sessions include explanations, case studies and a decision framework
Example to try
An assistant for a repeatable job
- 01Start with
Instructions + example material
- 02Make a first pass
A reusable assistant setup
- 03Make it yours
Test with a small, familiar task
Use a fictional example to practise the workflow.
Cost, access and setup
Course cost
- $395 standalone or included in Premium membership listed at $695/year
- Lists dollar signs without an explicit currency code.
- Separate platform/tool subscriptions may apply.
What you’ll need
- Requires existing AI experience.
- Paid ChatGPT or Copilot versions are needed for some custom assistants
- Free Gemini may suffice.
- Enterprise users must confirm IT has enabled custom assistants.
How you’ll learn
- Four on-demand sessions
- Total workload listed as four hours.
- Standalone or Premium membership access listed.
Certificate
- Course certificate listed
Instructor
- Course contributor/instructor biographies are listed on the page
- Individual credential claims are provider-stated.
Keep exploring
Build an AI assistant for your work
A reusable prompt may be enough for one task. A custom GPT, Gem or agent that uses files, tools or company data needs more testing and clear limits. Compare…
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