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Trackiverse / Project delivery platform

One project. Every perspective.

A project lives in more than one place: the team’s working view, a client’s update, a conversation with an AI assistant. We designed and built Trackiverse to bring those perspectives back to one living project, with progress that comes from the work itself.

Our role
Product strategy, experience design, web and native development, AI planning, and agent integrations
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AI planning & agentsProduct designFull-stack engineering
Trackiverse · Project delivery platform · 0:30
  1. 01

    Shape the work

    Turn an idea into features and tasks, with an editable AI planning preview.

  2. 02

    Keep it current

    People and connected assistants update the same project model.

  3. 03

    Share the right view

    Give clients a readable report without a second status system.

01 / The challenge

Progress gets lost between the work and the update.

  • Different audiences, one project model
  • Human and AI contributions
  • Cross-platform work and shared reports

Teams can have a detailed task list and still struggle to answer a simple question: where does the project stand? A schedule explains time. A checklist explains activity. A client needs a useful delivery view. Each is a different lens on the same work.

We built the product around a small, consistent hierarchy—projects, features, and tasks. The experience needed to make progress legible at each level, work across web, desktop, and mobile, and welcome AI into the workflow without losing the ability to inspect and edit the plan.

02 / Design decisions

From working detail to a shared understanding.

Three decisions connect the plan, the people doing the work, and the people waiting on it.

01 / Make progress legible

Put completion in the context of time.

A completion percentage cannot explain whether a project is keeping pace. A timeline alone cannot explain how much work is actually done.

The master timeline separates work completion from elapsed time. Beneath it, feature cards keep descriptions and task-level completion together. People can move from the project summary into the work that produced it, rather than decoding an isolated dashboard.

The original project interface, rendered with the public sample delivery project.
  1. Work completion and time elapsed are distinct signals.
  2. Feature progress rolls up from the tasks beneath it.

What this makes possibleA project view that supports a useful conversation about delivery, with the underlying work close at hand.

02 / Connect AI to the work

Give assistants a place in the system.

An AI-generated plan is useful only if it becomes work the team can review and maintain. Updates in an assistant conversation can otherwise create another disconnected version of the project.

In-product AI planning produces an editable preview before a reviewed plan is saved. Hosted MCP tools let supported assistants read project progress and make supported updates through an authenticated connection. Both paths return to the normal project model, where people can inspect the result.

Inside the productOriginal interfaces
Connected assistants / the actual setup panel
Human editing / the native task flow

Original agent connection and native editing surfaces. MCP availability depends on the product plan and supported client.

  1. AI planning is reviewed before it becomes a saved plan.
  2. Connected tools operate on the same records used by the product.

What this makes possibleAI becomes a practical way to plan and maintain work while the team retains an inspectable project.

03 / Change the lens

A client needs a report, not another workspace.

Internal controls, editing tools, and project navigation add noise when someone simply needs to understand delivery.

The reporting experience reuses the project’s structure in a read-only presentation. Live reports show current progress; snapshots preserve a dated update. Sharing controls distinguish access and expiry, with password protection available on eligible plans. The team can choose the right view without rebuilding the update by hand.

Inside the productOriginal interfaces
Client view / original report component
Mobile / original report capture

Original web and native report surfaces, with different example projects and illustrative progress figures.

  1. The report keeps project, feature, and task context.
  2. Live sharing and dated snapshots serve different conversations.

What this makes possibleA clearer handoff between the people delivering the work and the people who need an update.

03 / The result

A product that keeps the work in view.

Trackiverse connects planning, task progress, collaboration, and reporting through a shared product foundation. The meaningful result is a coherent workflow across people, platforms, and connected assistants.

Explore Trackiverse

The product site includes an interactive project preview and reporting walkthroughs. Native purchase and release readiness are tracked separately from the implemented client features.

Visit Trackiverse (opens in a new tab)
01

Readable delivery

Timeline context and task-derived progress sit together, with detail available at the feature level.

02

Practical AI integration

Reviewed planning and authenticated project tools bring AI into the workflow people already use.

03

Connected surfaces

Web, desktop, mobile, Slack, and report sharing work from the same underlying project structure.

Explore the project scope

Experience & platforms

  • Web and desktop project workflows
  • Native mobile planning and task updates
  • Live and snapshot reports
  • Version history and restore

AI & connected systems

  • Editable AI plan previews and atomic reviewed saves
  • Hosted MCP project tools
  • Slack integration
  • Shared data, permissions, and realtime updates
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