What This Article Covers:

This article explores how professionals can move beyond using AI tools as isolated personal notebooks and shift toward collaborative, shared workspaces. You’ll learn what an AI Project is in tools like ChatGPT and Claude, what types of assets and contextual memory it can store, and how sharing these workspaces eliminates repetitive explanations across teams. The post also highlights the practical benefits of centralizing instructions, project files, and thought processes to build stronger team alignment and elevate overall workplace productivity.


What if you could share the AI prompts that you use regularly at work with your colleagues to better collaborate with shared files and create consistent outcomes?

Right now, many professionals are using AI tools much like their personal notebook or as a glorified search tool. They are receiving the answers they need based on their custom prompts, which works well for individual tasks. However, the limitation is that we are the only creator.

Real productivity gains are not from just asking ChatGPT or Claude better questions in isolation. The real breakthrough comes from learning how to share context and resources that teach your own AI model, so others can benefit too.

This is a central concept we teach in our hands-on AI Training for Teams and Managers.

When you share a Project, you are not just sharing your chat history. You are sharing a workspace that supports your colleagues, staff, or even a business partner.

This includes sharing files, instructions, prompts, thinking, and project context that would otherwise live scattered across emails, folders, meeting notes, and Slack messages.

It is a very different way to collaborate and fairly simple to action with any AI tool of your choice.


What Is an AI Project?

A ChatGPT or Claude Project is a dedicated workspace where related chats, files, and instructions can live together.

Instead of starting from scratch every time, a Project helps the AI tool stay grounded and oriented around a specific body of work.

For example, you might create a shared Project for:

  • AI training rollouts
  • Manager development programs
  • Leadership offsite planning
  • Client proposals and pitch decks
  • New hire onboarding programs
  • Monthly and quarterly reporting
  • Interactive workshop design

Inside that Project, you can add relevant files, write custom instructions, and keep related chats together. That means the Project starts to function less like a one-off conversation and more like a shared working room.

When you share that Project with a colleague, now they can enter that same working room with full context. If you want to explore what a project is, you can read our piece here on Tap into your AI projects.


What Can a Shared Project Store?

A shared Project in ChatGPT or Claude can become a reliable repository for:

  • Project files and background documents
  • Research summaries and background data
  • Meeting notes and decision histories
  • Drafts, templates, and style guides
  • Custom instructions
  • AI-generated ideas
  • Prior conversations
  • Working drafts and immediate next steps

The bigger benefit here is that you are not just sharing information. You are sharing the thought process.

This is where real collaboration begins.

What Happens When You Share a Project?

When you share a Project, you allow someone else to access that Project workspace. Depending on your plan, workspace permissions, and admin settings, sharing options may vary.

This drastically reduces the need to keep explaining:

  • What the project is about
  • What documents matter
  • What tone or format to use
  • What has already been discussed
  • What direction has already been rejected
  • What version is current
  • What the next step should be

Whether your early adopters and power users prefer Claude for deep document analysis and extended context, or ChatGPT for its broad workspace capabilities, sharing Projects gives teams across all roles a more organized way to work from the same foundation. If you are also looking at broader team growth strategies, check out our guide on Manager Development Training Strategies.

Ready to Start Sharing Your AI Memory Model?

It is time to move your daily workflows out of personal silos and into a collaborative workspace.

Download the Quick Start Reference guide below to begin collaborating better by sharing your AI Projects across ChatGPT or Claude.

[Download Your Quick Start Reference Guide Here]

(This will work with ChatGPT or Claude. Enjoy!)


Frequently Asked Questions

How does AI training for teams improve daily workplace collaboration?

AI training for teams shows professionals, managers, and training directors how to move beyond basic, isolated prompting into shared workspaces like ChatGPT Projects and Claude Projects. Instead of keeping prompts and context trapped in individual chats, team members learn how to centralize instructions and reference files so everyone works from the exact same baseline.

Can both individual contributors and managers use shared AI Projects?

Yes. Shared Projects benefit anyone collaborating on a shared deliverable, whether they are staff members, cross-functional partners, or team leads.

Where are your facilitated AI training programs hosted?

We deliver cohort-based AI training programs for training managers, learning directors, and organizational teams across New York City (NYC), New Jersey (NJ), Washington DC / DC Metro, and Pennsylvania (PA), as well as virtually for distributed teams.


About Us

In Our Shoes® provides custom, cohort-based AI Workplace Transformation and Leadership Training for mid-to-large organizations. Our high-engagement programs focus on building AI fluency, change management, and human-centered leadership—ensuring your workforce learns how to work smarter with generative tools without losing the human element.