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Documentation Index

Fetch the complete documentation index at: https://documentation.deepmask.io/llms.txt

Use this file to discover all available pages before exploring further.

Projects give you a persistent, context-rich workspace that remembers your instructions, files, and preferences across sessions. Instead of re-explaining background and re-uploading reference materials every time you start a chat, a project preserves everything in one place. You can run multiple focused chat threads within a single project and invite teammates to collaborate — making Projects the foundation for sustained, team-level AI work.

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What a project contains

Custom instructions

Define standing context — goals, tone, constraints — that every chat thread in the project inherits automatically.

Uploaded files

Attach reference documents, briefs, and data files once and reuse them across all threads in the project.

Multiple chat threads

Run parallel conversations on distinct sub-topics, all sharing the same project context and files.

Team sharing

Invite teammates so everyone works from the same instructions, files, and conversation history.

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Creating a project

1

Open the projects panel

In the left sidebar, click Projects to view your existing projects or create a new one.
2

Create a new project

Click New Project, enter a name that reflects the work area (for example, “Automation Research Project”), and add an optional description.
3

Confirm

Click Create to open the project workspace.

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Setting custom instructions

Custom instructions appear in every chat thread within the project, giving the AI consistent context without you having to repeat it each time.
1

Open the Instructions panel

Inside the project, locate the Instructions section in the project sidebar.
2

Write your instructions

Describe the project’s purpose, the AI’s role, preferred output formats, and any constraints. For example: “Build an end-to-end automated reporting workflow that collects data from multiple sources, analyzes it, generates insights, and delivers structured reports with minimal manual effort.”
3

Save

Your instructions are saved immediately and applied to all current and future threads in this project.
Keep instructions focused on goals and constraints rather than procedural steps. The AI applies them as persistent context, not a one-time command.

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Uploading files to a project

Files uploaded to a project are available in every chat thread, so you only need to add them once.
1

Open the Files section

In the project sidebar, click the Files area.
2

Upload your documents

Drag and drop files or click to browse. Supported formats include PDFs, Word documents, spreadsheets, CSVs, and text files.
3

Reference files in chat

Start a chat thread and refer to the uploaded files by name or ask the AI to work with them directly — for example, “Analyze the Project Requirement Document.”

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Working with multiple chat threads

Each chat thread within a project is a separate conversation that still inherits the project’s instructions and files.
1

Start a new thread

Inside the project, click New Chat to open a fresh thread. Give it a descriptive name so you can distinguish it from others.
2

Organize by topic

Use separate threads for distinct sub-tasks. For example, an automation project might have threads named “Automation Workflow Setup,” “Insights and Trend Analysis,” “Report Structure & KPIs,” and “Data Collection & Integration.”
3

Switch between threads

Click any thread name in the project sidebar to resume it from where you left off.
Each thread maintains its own conversation history. The project’s custom instructions and files are shared across all threads, but individual thread contexts remain separate.

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Sharing with teammates

1

Open project settings

In the project, click the settings or share icon in the project header.
2

Invite team members

Enter your teammates’ email addresses or select them from your organization’s team directory.
3

Confirm access

Invited teammates can view the project’s instructions, files, and chat threads, and start new threads within the shared project.
Project sharing is available on team plans. All shared data remains within your organization’s EU-hosted DeepMask environment.