Start where review already hurts.
ALLO is strongest when the work is too visual, too mixed, or too client-facing to survive as a task row, a folder, or a chat thread.
A visual workspace for deciding with the work in front of you.
Bring the brief, references, files, drafts, comments, and approvals onto one canvas. Use it as the room where the team compares options, sees the tradeoffs, and leaves the decision next to the work.
Open the card. See the work.
In most work tools, a card is a label with attachments. The actual work lives somewhere else. In ALLO, the card opens into the project room itself: the brief, references, files, drafts, comments, approvals, and final direction in one place.
The old question was can we make it. The new question is what is worth choosing.
For years, software helped teams produce faster: design faster, write faster, ship faster, report faster. That still matters, but it is no longer the whole advantage.
AI pushes production even further. A small team can now generate enough drafts, images, reports, and prototypes to overwhelm the review process around them.
When every person brings a different output from a private tool, work slows down at the moment that matters: comparing options, hearing the feedback, and choosing what should move forward.
A private chat is the wrong room for a team decision.
Chat is useful for private exploration. It is weak when a group needs to look at the same material, compare options, point to details, and leave a decision where the next person can find it.
Context has to be rebuilt.
Each prompt starts from what one person remembered to include. The next reviewer has to ask where the source file is, what changed, and why this version exists.
Options cannot sit side by side.
A chat hands you one answer after another. It is a bad place to compare forty images, three concepts, two decks, and the comments that explain the tradeoffs.
The final call has nowhere to live.
A chat is built to continue. It is not built to keep the chosen file, the approval, and the reason for the decision beside the work itself.
Sameness is easy to miss.
When the work is scattered across private threads, teams notice volume before they notice pattern, repetition, weak fit, or missing context.
Use chat for scratch. Use ALLO when the work has to be reviewed by other people.
Some work has to be seen together.
A list is enough when the job is only to track tasks. It is not enough when people need to compare options, connect references, discuss details, and remember why one direction won.
David Kirsh, a cognitive scientist at UC San Diego, showed that arranging things in space is not just tidying. The arrangement becomes part of how people think through more material than memory can hold at once.
A chat and a document show one thing after another. A canvas lets the group keep the big picture in view while it makes up its mind. For writing, use a document. For reviewing messy visual work, use a canvas.
The workspace is the presentation.
The person making the work drops in references, drafts, files, and AI output, then shapes the project while the brief and decision history stay in view.
A reviewer opens one link and sees the work in context. They can comment on the right file, frame, image, note, or decision without guessing what they are reviewing.
A decision maker can read the project top to bottom. The final call sits next to the work that earned it, so nobody has to rebuild the story as a separate status deck.
Create from the project, not from a blank prompt.
AI Studio turns prompts, files, URLs, voice notes, and canvas objects into documents, images, tables, audio, and web pages. The result lands beside its sources, comments, and reviewers, so the team can check it before it travels.
Use real project context.
Select the brief, reference images, notes, PDFs, links, or earlier drafts that should shape the output.
Create work the team can inspect.
Generate a canvas object, not a buried chat answer. Move it, comment on it, edit it, or reject it in the same room as the source material.
Keep the reason visible.
If the output becomes part of a campaign, handoff, review, or client decision, the comments and source context stay attached.
Fewer places to lose the decision.
Not because ALLO imitates the rest of your stack. Because once the project itself is where people review and decide, less context has to be rebuilt somewhere else.
- 01The Pinterest board sitting far from the work it was meant to shape.
- 02The brief nobody opened again after kickoff.
- 03The folder named final, then final-2, then final-actually-this-one.
- 04The status deck you waste Friday rebuilding for management.
- 05The task tracker that lists the work but never lets you see it.
It will not replace a full asset library at enterprise scale like Frame.io or Bynder, or an HR review tool like Lattice. If that is what you need, ALLO is not it, and we would rather tell you now.
AI made more work. It did not make review disappear.
The pattern is showing up across the market: individual output is faster, but teams still spend time supplying context, checking quality, comparing versions, and trying to connect that speed to business results.
The pattern is simple. Production keeps getting cheaper. Clear review, shared context, and better decisions still have to be designed. That is where ALLO fits.
We help teams decide. We do not pretend to fix everything.
Bad data, disconnected systems, and unclear measurement are real problems. A canvas does not solve those by itself, and we will not pretend it does.
Decisions made faster.
Straightforward plans for growing teams.
Choose the plan that fits your workspace. Seats, sharing, storage, and AI credits are managed from Billing, with admins in control of paid changes.
- Unlimited canvases
- guest review and comments
- goals and a dashboard