Desktop + Browser, finish AI work and keep it in one place
Raydo
Local-first AI Work OS
Do real desk work in Raydo.
Download the desktop app. Add the Chrome extension. Keep the work in one system.
Add Chrome ExtensionProblem
AI can answer. Work is still scattered.
Real work is more than a prompt. Goals, execution, approvals, and outputs still live in too many tools.
Context is scattered
The request is in chat, the source is in the browser, the files are local, and the status lives somewhere else.
Context
Execution is hard to trace
What happened, where it stopped, and who approved it usually are not in one place.
Execution
Outputs are hard to reuse
Drafts, screenshots, JSON, and notes end up everywhere, so the next run starts over.
Output
New work model
From chat AI to an executable work system.
Raydo does not stop at the answer. It keeps the work going.
01
Goal
Define what needs to get done.
02
Context
Bring in the page, files, and connections.
03
Capabilities
Call the browser, desktop, connections, and workflows.
04
Execution
Let AI move the work forward in a real environment.
05
Approval and outputs
Confirm key actions, then share and keep the result.
System blocks
Raydo is not a feature bundle. It is a work system.
Execution, context, workflows, approvals, and outputs live in one system.
Work system
Execution
Context
Workflow
Outputs
Approval
Execution
Move the work forward.
Not just answers. Real work across the browser, desktop, and workflows.
Context
Keep pages, files, connections, and history together.
AI should not have to guess the state of the work.
Workflow
Bring existing workflows into the work.
A flow should not stop at nodes. It should continue into execution, approval, and outputs.
Outputs
Keep intermediate outputs, final delivery, and source records together.
Outputs should be archived, traceable, and reusable.
Approval
Keep review, records, and handoff in the system.
Key actions get confirmed, and the next person can step in with context.
Browser execution
The browser is not just for screenshots. It is where work happens.
A lot of work starts on the web. Raydo runs in the real browser instead of flattening the page into a prompt.
Real page execution
Open the page, extract the data, keep the result, and pass it downstream.
Captured data
Enter the real page
Inspect, extract, compare, and record inside the real web context.
Keep the process and the result
What was opened, extracted, and saved stays attached to the run.
Feed the next step
Browser execution is not the end. It starts drafts, approvals, and deliverables.
Desktop coordination
Files, terminals, local apps, human approval
File manager
Running locally
Terminal
Running locally
Design app
Running locally
Approval queue
Running locally
Key steps
Desktop coordination
The work does not stop at the browser.
Real work often needs local files, terminals, and desktop apps. Raydo brings them into the same chain.
Connect local files
Bring drafts, data, screenshots, and exports straight into the workflow.
Connect terminals and desktop apps
Put commands and desktop actions into the same run view.
Pause when someone needs to decide
It is not about auto-running everything. It stops where confirmation matters.
Workflow compatibility
Import the workflows you already have. Upgrade them into an AI Work Graph.
Bring in the workflow you already have, then add browser execution, desktop coordination, approvals, and outputs so the work can actually finish.
Existing workflow
AI Work Graph
Start with what already exists
You do not have to rebuild a workflow from scratch just to bring it in.
Add real execution
Connect browser, desktop, and approval steps into the same chain.
Make the result deliverable
The result should be reviewable, shareable, and reusable, not just marked complete.
Artifact system
Every run becomes an asset.
Raydo does not just keep chat output. It keeps code, docs, sheets, media, ops records, and final deliverables together.
Artifact system
Every run becomes an asset.
launch_copy.md
From run_042 · reusable
research_notes.pdf
From run_042 · reusable
hero_mockup.png
From run_042 · reusable
workflow_run.json
From run_042 · reusable
approval_note.txt
From run_042 · reusable
From temporary output to reusable asset
A run leaves behind more than an answer. It leaves behind work you can reuse.
Traceable source
Each artifact knows which run, approval step, and context it came from.
Run / Approval / Source
Reusable after delivery
The next job can start from what already exists instead of starting over.
Use cases
Raydo is for work that has to ship.
Not just answers. Work that moves, lands, and stays reusable.
Knowledge work
Research, synthesis, writing, delivery
Turn research, source files, drafts, review, and delivery into one chain.
Operations
Ops, execution, cross-tool work
Keep goals, execution, approvals, files, and outputs in one place.
Desktop work
Any work that depends on the desktop
Let the browser, desktop apps, terminal, local files, and connections work as one system.
Team handoff
AI work that survives handoff
The next person gets the goal, the process, the approvals, and the output.
Local-first
Local-first is not just a security feature. It is control.
It defines where work runs, how data moves, and how a team can step in.
Control the environment
Work runs where you can inspect it, not just in a remote black box.
Compose the runtime
Use the browser, desktop, and files the way the job actually works.
Visible approvals
Key checkpoints can pause, and who approved what stays in the system.
Reviewable delivery
Results, process, cost, and artifacts stay together instead of getting split up.
Product proof
This is not a concept mockup. It is the real interface for work.
You should be able to see what the work is doing, where it stopped, what it produced, and who approved it, all in one interface.
Run center
Review and delivery
Approve draft
Check output diff
Review previous run
Run surface
See what the job is doing, where it stopped, and who needs to confirm it.
Review and delivery surface
Put key actions and final delivery where they can be reviewed and handed off.
History and reuse surface
The next job should be able to continue from the last one instead of starting blank.
Get started
Finish AI work. Keep it in one place.
Raydo is not another chat window. It is a local-first system for work.
See the flow
See browser execution, desktop coordination, approvals, and outputs in one chain.
Start local
Download it, connect your browser and local environment, and get to work.