Tutorials for every part of the Strut workspace
Use Strut as an AI workspace and notebook for capturing rough notes, expanding ideas, and organizing coherent long-form writing.
GUIDES
Learn the workspace
one panel at a time.
These four guides are about Strut specifically: what belongs in a note, what belongs in a project, what belongs in a document, and how Strut AI behaves when it can see the material surrounding the passage you are working on. The division is deliberate. Notes hold rough, unplaced material. Projects hold an outcome and everything that serves it. Documents hold the writing itself. Keeping those jobs distinct is what lets you move a fragment into a chapter later, without deciding its permanent home the moment you write it down.
The practical argument for a workspace is that context stops being something you assemble by hand. When the brief, the source notes, and the current section already sit in one place, asking for a compression or a counterargument does not begin with ten minutes of pasting. Read these in order and they work as a setup sequence. By the end you will have a note habit that does not demand instant organization, projects built around a testable outcome and one visible next action, and a way of prompting that names the operation, selects only the relevant context, and checks what changed before you accept it.
What these 4 guides answer
- How the whole strut workflow fits together — for writers new to strut.
- How to capture and connect notes in strut — for anyone starting from rough notes.
- How to build a project around an outcome — for writers organizing a long piece.
- How to prompt strut ai with real context — for writers using ai assistance.
How to use Strut for long-form writing projects
A walkthrough of the Strut workspace: create a project, capture rough notes, import sources, draft in the editor, and export a finished manuscript.
Read guideStrut notes: from quick capture to real context
How rough notes work in Strut: fast capture, voice transcription, source clips with page numbers, workspace search, and moving material into a draft.
Read guideStrut projects: notes, sections, drafts in one place
Set up a long-form Strut project: documents and templates, the heading outline, the structure panel, version history, collaborators, and project history.
Read guideStrut AI writing: prompts that preserve context
How the Strut AI panel works: the writing operations, what the Direction field is for, reviewing the diff before applying, and what a run costs in tokens.
Read guideWhere to start, and why
- How to use Strut for long-form writing projects
Start with the overall model: how capture, organization, drafting, and collaboration connect, and what each part of the workspace is for.
- Strut notes: from quick capture to real context
Then the smallest unit. How to write a note that still makes sense later, and when to attach it to real work.
- Strut projects: notes, sections, drafts in one place
Next, the container that gives notes somewhere to go: an outcome, a working set, a current stage, and one next action.
- Strut AI writing: prompts that preserve context
Finally, assistance. With notes and projects in place, Strut AI has the context that makes its output worth reviewing.
Which guide answers what
| Guide | What it answers | Who it is for | Time |
|---|---|---|---|
| How to use Strut for long-form writing projects | How the whole Strut workflow fits together | Writers new to Strut | 8 min |
| Strut notes: from quick capture to real context | How to capture and connect notes in Strut | Anyone starting from rough notes | 8 min |
| Strut projects: notes, sections, drafts in one place | How to build a project around an outcome | Writers organizing a long piece | 8 min |
| Strut AI writing: prompts that preserve context | How to prompt Strut AI with real context | Writers using AI assistance | 8 min |
Terms used across these guides
- Working set
- The notes, brief, documents, collaborators, and open questions attached to one project, kept available around the draft instead of pasted inside it.
- Context selection
- Choosing which notes, constraints, and passages an AI request can see, on the principle that unrelated material dilutes the task rather than improving it.
- Named operation
- Stating the specific job a request should perform, such as critique, compress, expand, counter, or summarize, instead of asking generally for better writing.
- Delta review
- Comparing a suggested revision against the original to check new claims, lost nuance, and voice before you accept it, rather than replacing the passage wholesale.
Related topics
The method behind the AI features
The workflow the product is shaped around
Want to see these steps in the product?
Strut guides questions
Do I need to learn the whole workspace first?
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No. Most writers use notes and the editor for weeks before touching sources or collaboration. The parts connect when you need them rather than demanding setup up front.
Can I import writing I have already started?
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Yes. Paste a draft straight into a document, or import TXT, Markdown, CSV, PDF, DOCX and XLSX files as project sources. Pasted text is cleaned to real structure automatically.
What works without any AI allowance?
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Drafting, outline navigation, find and replace, style statistics, read-aloud, word goals, notes, sources, search, version history, comments, and every export format.
How do I get my writing out?
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Every document exports as PDF, Word, Markdown, or plain text, and version history keeps earlier states. Nothing is locked to a plan.
Give your rough notes
somewhere to go.
Projects, notes, versioned drafts, imported sources, and careful AI assistance in one private workspace.