USE CASES

Turn AI agents into real team execution.

Cana helps teams move from scattered AI usage to shared workflows, reusable knowledge, cloud agents, local execution, and measurable outcomes.

For teams building products, automating work, scaling knowledge, and bringing control to AI-powered execution.

Build fasterAutomate recurring workScale shared knowledge
THE PROBLEM

AI is everywhere. The work is still scattered.

Teams are using AI across chats, coding tools, documents, meetings, scripts, and cloud jobs. But the context is fragmented, the work is hard to repeat, and leaders have limited visibility into what agents are doing.

Scattered AI work
AI conversations stay with individuals
Context is repeated in every prompt
Agents do not share project knowledge
Recurring work is still manual
Outputs are hard to review or reuse
Costs and usage are difficult to see
With Cana
Agents work inside shared projects
Knowledge is reusable across the team
Workflows become templates and schedules
Cloud agents run work in the background
Outputs are traceable and reviewable
Usage and cost become visible
WHY CANA

Cana gives agents the system they need to work for a team.

Agents become useful when they have shared context, access to the right tools, a place to run, a way to repeat work, and controls around what they can do. Cana brings those pieces together across desktop and web.

Shared context
Agents start with the project knowledge your team already has.
Local execution
Builders work with agents inside real project folders, code, previews, and deploy flows.
Cloud execution
Recurring work runs through cloud agents without keeping a desktop open.
Reusable workflows
Repeated tasks become templates, schedules, and reviewable outputs.
Team control
Leaders see usage, cost, access, models, and shared resources in one place.
WHY CANA

Most agent tools optimize one moment. Cana connects the whole system.

Some tools help you write code. Some give you a chatbot. Some run a single autonomous agent. Cana brings together desktop execution, cloud agents, shared knowledge, AI apps, model freedom, and team controls so agentic work can scale beyond one person.

Coding assistants
Great for individual coding speed. Limited when teams need shared context, cloud runs, AI apps, scheduled workflows, and organization-wide visibility.
Chat-first AI tools
Useful for conversations and drafts. Harder to turn into repeatable work with projects, templates, tools, permissions, and team memory.
Single-agent products
Useful for isolated tasks. Harder to coordinate across models, tools, teams, local environments, and cloud workflows.
Cana
A shared agentic workspace across desktop and web — built for execution, knowledge, workflows, model flexibility, and team control.
USE CASES

Where teams use Cana.

Cana is built for teams that want AI agents to do more than answer questions. Use it to build, automate, research, operate, and coordinate work across people and agents.

Build products faster
Move from idea to working product with agents helping across planning, coding, preview, testing, and deployment.
Automate recurring work
Run scheduled agents for release notes, weekly reports, documentation updates, QA checks, and operational reviews.
Create AI apps
Embed branded agents into products, dashboards, help centers, and internal tools.
Preserve team knowledge
Capture decisions, documents, meetings, and conventions once so every agent shares the same context.
Coordinate human + agent work
Turn initiatives into shared projects where people, agents, tasks, and outputs stay aligned.
Control AI usage and cost
Use the right model for the job, bring your own keys, track spend, and avoid locking into one provider.
PRODUCT DELIVERY

From idea to working product, with agents in the loop.

Cana helps builders move through planning, implementation, preview, deployment, and troubleshooting without switching between disconnected tools. Agents work with project context, reviewable changes, real previews, and deployment flows.

The delivery loop
Idea→Plan→Build→Preview→Deploy→Fix
For founders
Move from concept to working product without assembling a full delivery stack on day one.
For developers
Keep editor, terminal, git, browser preview, agents, and project context in one local environment.
For engineering managers
Make AI-assisted work more structured, reviewable, and connected to project outcomes.
CLOUD AGENTS

Put agents to work even when nobody is online.

Teams can turn repeated tasks into cloud agent workflows that run on demand, on a schedule, or from external triggers. Work keeps moving without someone keeping a browser tab or desktop app open.

The repeatable loop
Template→Run→Review→Schedule→Reuse
The difference is repeatability. Define the workflow once, then run it whenever the team needs it.
Weekly project reportsRelease note generationFailed build investigationCustomer feedback summariesDocumentation updatesRepository health checksMarket research briefsSupport ticket triage
AI APPS

Bring agents into your products and internal tools.

Cana Apps let teams create branded AI agents that can be embedded into websites, dashboards, SaaS products, help centers, and internal platforms. Agents can use connected tools and data, not just answer generic questions.

Customer support assistant
Embed an agent into a help center or customer portal to answer questions, guide users, and trigger actions.
Internal operations assistant
Put an agent inside internal dashboards so teams can search, summarize, and act across connected systems.
Product workflow assistant
Add agents into product experiences where users need guidance, automation, or intelligent next steps.
Not a chatbot widget. A way to make real platforms agentic.
TEAM KNOWLEDGE

Give every agent the context your team already knows.

AI work breaks down when every person has to re-explain the same goals, decisions, architecture, policies, and project history. Cana turns team knowledge into a shared layer that agents can use across projects and workflows.

Before
Context lives in people's heads
Meeting decisions are forgotten
New team members repeat old questions
Agents produce inconsistent work
After
Knowledge is captured once
Decisions stay connected to work
Agents follow team conventions
New work starts with the right context
MODEL STRATEGY

Don’t build your AI strategy around one model.

Different work needs different models. Cana lets teams use multiple providers, bring their own keys, route routine work to efficient models, reserve premium models for hard tasks, and keep usage visible.

Cost control
Use efficient models for routine work and premium models only where they add value.
Vendor flexibility
Avoid locking workflows, teams, and products into a single AI provider.
Better fit by task
Match drafting, coding, research, review, and planning to the right model profile.
Usage visibility
Understand how AI is being used across people, apps, agents, and teams.
GOVERNANCE

Make agentic work visible, repeatable, and controlled.

As AI usage grows, teams need more than access to models. They need shared resources, roles, permissions, secure connectors, usage visibility, and a way to understand what agents are doing.

Roles and access
Manage who can use shared resources, apps, templates, connectors, and organization-level capabilities.
Secure connections
Connect tools and data through managed credentials and controlled access patterns.
Usage and cost
Track activity by model, provider, app, user, and organization.
Traceable work
Keep agent runs, outputs, templates, schedules, and changes reviewable.
WHO IT HELPS

Built for the people responsible for turning AI into outcomes.

Founders
Move faster from idea to product, automate operational work, and build AI-native workflows without a large team early.
CTOs & engineering leaders
Give teams a controlled way to use agents across projects, models, knowledge, code, workflows, and cloud execution.
Product teams
Research, prototype, document, test, summarize feedback, and create AI-powered product experiences.
Platform & operations
Turn repeatable operational tasks into scheduled agent workflows with visibility, review, and shared context.
Developers
Work locally with agents, code, terminal, git, previews, deployment tools, and project context in one environment.
Managers
Keep AI-assisted work aligned across people, tasks, meetings, documents, and team knowledge.
HOW TEAMS START

Start with one workflow. Scale into a shared agentic workspace.

1
Start locally
Use Cana Desktop for focused project work, planning, building, previewing, and deployment.
2
Add shared context
Bring in project documents, decisions, knowledge, meetings, and team conventions.
3
Automate repeatable work
Turn recurring tasks into cloud agent templates, schedules, and triggers.
4
Scale across the team
Share apps, connectors, templates, knowledge, usage visibility, and organization controls.
GET STARTED

Build your team’s agentic workspace.

Start with Cana Desktop for focused work, or use Cana Web to run cloud agents, apps, workflows, shared knowledge, and team-wide automation.