Your team is fast. Your decisions are stalling.
Generating a first draft takes seconds. Turning that draft into useful team work still takes judgment, context, and agreement. Recent AI research points to the same pattern: adoption is high, but business impact depends on how teams organize the work around the output.
The pattern is simple. Making more work is getting easier. Helping a team understand it, compare it, and choose what ships is still the hard part. That is the part ALLO is built for.
More output. Harder alignment.
AI lowered the cost of a first draft. That is useful, but it also means every brief can produce more options, more versions, and more material for the team to sort through.
The bottleneck moved. The question is no longer whether someone can make a draft. It is whether the team can see the options clearly enough to choose one direction.
One person can decide inside a private thread. A team needs shared context: the brief, the references, the options, and the comments in front of everyone.
AI tools generate options. Teams need a place to decide.
The problem isn't the model getting smarter. It's the shape of the interface. Chat is a private, linear stream. Team decisions need a shared surface where options, context, and comments can sit side by side.
Built for one.
Everyone prompts alone and shows up with a different answer. There is no shared surface for those answers to meet. The meeting becomes the place you sync up, and meetings are slow.
One reply at a time.
A chat hands you the latest message and hides the rest. You lose the big picture. You cannot spread forty options across a wall and take in the whole field at a glance to spot the winner.
No place to commit.
A chat is built to generate more. It has nowhere to pin an item and mark it as the final direction. Last week's decision quietly comes up for debate again this week.
Pulled toward the middle.
Similar models and prompts tend to produce similar safe answers. When teams rely only on chat, the collective output can start to look the same. You get more work, but less of it feels specific to your team.
AI can create the raw material quickly. ALLO gives the team a place to turn it into a decision.
A shared canvas for the work before it becomes final.
ALLO doesn't replace your chatbot. It gives the output somewhere useful to go. Put the drafts, references, half-finished mockups, files, and notes onto one canvas. Then review them with your team and your client until the next direction is clear.
This matters even if you already have tools you like: in ALLO, the whole picture stays in front of the team while the work moves forward, so the project is less likely to drift toward a direction nobody chose.
Stop digging for files.
In most tools a card is just a title, a few files clipped on, and a comment thread. The real work hides somewhere else, in Figma or a doc or a nested folder you have to go find. In ALLO there is no somewhere else. Click the card and it opens into the whole thing: the brief, the references, the files, the comments, whatever the AI made, all in one place at a glance.
A canvas keeps related work visible together.
It isn't about how it looks. People have studied this for thirty years. Lay things out in space, move them around, sort them into piles, and you hand off the part of the thinking your memory can't carry. The connections between things start to show on their own.
David Kirsh, a cognitive scientist at UC San Diego, spent years showing that arranging things around us isn't just tidying up. The arranging is part of the thinking. Sorting options into piles is how people make sense of more than they can hold in their heads.
A chat and a document show one thing after another. A canvas lets a group keep the big picture in view while it makes up its mind. For linear writing, use a document. For comparing visual options, references, and feedback, use a canvas.
The workspace is the presentation.
The person making the work drops in references, drafts, files, and AI output, then shapes it while the whole project stays in view. The direction stays visible.
The client opens the shared canvas. They see the work laid out exactly as you'd pitch it in the room, and they can leave comments in context where permissions allow.
The decision maker can read the work top to bottom. The decision sits next to the work that earned it. Nobody has to rebuild the project as a separate status deck.
Fewer places to lose the decision.
Not because ALLO imitates these tools. Because once the project itself is where everyone meets, the work those tools were doing moves onto one canvas.
- 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.
Use it alongside what you keep: Figma, Photoshop, Premiere, Slack, email, Zoom.
It won't replace a full asset library at enterprise scale like Frame.io or Bynder, or an HR review tool like Lattice. If that's what you need, ALLO isn't it, and we'd rather tell you now.
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