Productivity
Soloe
A project workspace that builds itself
- Category
- Productivity
- Stage
- Pre-launch
- For
- Freelancers, founders, product managers, and other professionals using AI agents across projects
About
No new tool to learn. Your agents keep it up to date as you work.
Features
- Problem
- Agent work is fragmented across sessions.
- How it works
- Connects agents through a short skill and an MCP connection so they record work that lasts in the project.
- Result
- A current project record across agent-driven work.
- Why
- Users can continue using their existing agents rather than adopt another work tool.
- Problem
- A fixed project view does not fit every kind of work.
- How it works
- Agents can build and rebuild the workspace into dashboards, boards, or an infinite canvas.
- Result
- A workspace shaped around the current task.
- Why
- Projects may need status tracking, workflow management, or linked research artifacts.
- Problem
- Client and delivery work lacks a consolidated operational view.
- How it works
- Surfaces waiting items, feedback and scope changes, hours ready to invoice, milestones, and recent activity.
- Result
- Clearer follow-up and invoicing readiness.
- Why
- Freelancers need project context across multiple clients and contributors.
- Problem
- Cross-team product work makes updates and ownership unclear.
- How it works
- Supports views for team status, open questions and owners, plus drafted updates.
- Result
- A more current shared picture of delivery work.
- Why
- Product managers need to coordinate a feature across teams.
Screenshots
