Projects in AICamp are designed to help you organize your work by goal, topic, or team.
They bring your chats, files, and instructions into one shared space — making it easier to collaborate, stay focused, and work faster with AI.

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What Can You Do with a Project?

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1. Keep Everything for One Topic in One Place

Whether you’re documenting a product launch, drafting marketing copy, or doing research — a project gives you a dedicated space to collect your chats, files, and goals.

Use case examples:

  • Create a project for your next website revamp
  • Start a project to build your company knowledge base
  • Manage multiple chat threads under a client onboarding plan

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2. Upload Files That AI Can Reference

Inside each project, you can upload files (PDFs, docs, spreadsheets) that the AI can read and reference in any chat.

Use case examples:

  • Upload brand guidelines and generate consistent messaging
  • Add past reports and summarize performance over time
  • Drop HR policies to answer internal team questions

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3. Add Project-Specific Instructions

Each project lets you set its own instructions — telling the AI how to behave within that project. Think of it as setting a custom personality or goal.

Use case examples:

  • For a documentation project: “You are a technical writer. Write clearly and concisely.”
  • For a research project: “Summarize and compare files. Highlight key differences.”

This ensures every chat inside the project follows the same tone and objective.

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4. Work Across Multiple Chats Without Losing Context

You can create multiple chat threads within a project — each focused on a specific question, version, or subtask — while keeping access to the same files and context.

Use case examples:

  • One chat for brainstorming, one for outlines, and one for final drafts
  • One chat for analyzing Q1 report, another for Q2, inside the same finance project

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5. Collaborate with Your Team

Projects can be shared with individuals, groups, or across the entire workspace — making it easy for everyone to work from the same information and files.

Use case examples:

  • Share a project with your content team to align copywriting and prompts
  • Collaborate with legal and ops on document reviews
  • Create a company-wide AI policy project to centralize knowledge

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When Should You Use Projects?

  • When you’re working on something that spans multiple chats or files
  • When a task needs its own context, voice, or instructions
  • When you want your team to work from the same knowledge base
  • When you’re managing longer-term initiatives or clients

Projects are your way to make AI more organized, more focused, and more collaborative.

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What’s Next?