Fast Forward

Fast Forward Episodes

One tool. One task. Five minutes.

Fast Forward is the short-form stream from Zero to AI. Each episode covers one specific AI tool or workflow, the kind of thing you can test on your lunch break and use in a real project by the end of the day.

How Fast Forward works

Small experiments that build practical confidence.

Fast Forward is not the full learning journey. It is the quick test bench: short, specific and focused on whether a tool or workflow can help with a real task.

1. Pick one tool

Each episode focuses on one tool, setup or workflow so you are not trying to learn everything at once.

2. Try one task

The episode gives you a practical task to test, not a generic feature tour or abstract explanation.

3. Decide if it helps

You finish with a clearer sense of where the tool is useful, where it is limited and where it might fit in real work.

Different from Learning Labs

Fast Forward is quick. Learning Labs go deeper.

Use Fast Forward when you want a quick practical test. Use Learning Labs when you want a complete applied experience with a takeaway asset.

Episode list

Twelve short tool and workflow tests.

These are the planned Fast Forward episodes. Each page can be built as the episode content is produced.

FF 01 Short-form

Claude Projects as a Persistent Workspace

Set up one reusable project space so your context, files and instructions stay together.

TaskWorkspace setup
View episode →
FF 02 Short-form

ChatGPT Deep Research for First-Pass Evidence

Use deep research to gather a structured first pass before you make a decision or write a brief.

TaskResearch workflow
View episode →
FF 03 Short-form

Notion AI for Turning Notes into Action

Convert messy notes into clearer actions, summaries and next steps without overcomplicating the system.

TaskNotes to action
View episode →
FF 04 Short-form

Lovable for a Quick Prototype

Turn a rough idea into a simple working prototype so you can test the concept quickly.

TaskPrototype test
Coming Soon
FF 05 Short-form

Perplexity for Source-Aware Search

Use source-aware search to understand a topic faster without losing track of where claims come from.

TaskSearch workflow
Coming Soon
FF 06 Short-form

NotebookLM for Grounded Explainers

Upload source material and create clearer explainers, summaries or study aids from your own documents.

TaskGrounded summary
Coming Soon
FF 07 Short-form

Claude Desktop for Local Working Files

Use Claude Desktop to work with local files and repeatable tasks in a more practical way.

TaskLocal workflow
Coming Soon
FF 08 Short-form

ChatGPT Custom Instructions for Better Defaults

Set better defaults so ChatGPT starts closer to the way you actually work.

TaskBetter defaults
Coming Soon
FF 09 Short-form

Gamma for a First Draft Presentation

Create a quick slide draft when you need structure before design polish.

TaskPresentation draft
Coming Soon
FF 10 Short-form

Descript for Fast Audio or Video Cleanup

Clean up spoken content, remove friction and make rough recordings more usable.

TaskMedia cleanup
Coming Soon
FF 11 Short-form

Zapier and Claude for a Small Automation

Connect a small repeatable task so AI helps move information between tools.

TaskSimple automation
Coming Soon
FF 12 Short-form

Claude Cowork for Shared Thinking

Use a collaborative AI workspace to support shared planning, review or idea development.

TaskShared workflow
Coming Soon
Use Fast Forward when

You want a useful test, not a full lesson.

Fast Forward works best when you have a small problem, a tool you are curious about, and enough time to test whether it has a place in your work.

It does not replace the main Zero to AI seasons. It gives you quick practical wins while the deeper learning journey continues.

Part of Zero to AI

Fast Forward sits beside the main seasons.

Season 1 gives the foundation. Season 2 builds practical proof. Fast Forward gives short tool-level experiments. The Blog and Resources support the wider learning platform.

Best use

Pick one episode and test the workflow.

Fast Forward is only useful if you try the thing. Choose one tool, run one small task and decide whether it belongs in your working system.

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