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Build Rize agents for outcome-driven workflows

Connect Rize to LatchLoop to have a real conversation with your time tracking data. No dashboards, no exports, no pivot tables. Ask questions like: How am I really spending my time? What projects are overrunning? Where can I improve efficiency? Which clients are most profitable? What work is not billable but taking up most of my time? Where should I incorporate AI into my workflow? What tasks should I automate?

Example outcome

Turn Rize context into ready-to-build coding tasks.

Workflow examples

Use Rize to build agents around outcomes

Example 1 Coding agent workflow Engineering teams

Create an engineering triage agent with Rize

Use Rize to help a LatchLoop agent inspect engineering signals, identify what changed, and prepare a crisp task for a background coding agent.

Outcome

Turn Rize context into ready-to-build coding tasks.

Starter prompt

“Create an engineering triage agent that uses Rize to inspect recent work, summarize the affected area, list missing requirements, and prepare a ready-to-build implementation task for a coding agent.”

How the agent works

1 Connect Rize and approve the MCP tools the agent should be allowed to use.
2 Ask LatchLoop to inspect the relevant issue, repository, incident, or release context.
3 Have the agent turn the findings into implementation steps, acceptance criteria, and review notes.
4 Send the prepared task to a coding agent and keep the original context attached for follow-up.

Uses

Rize

Example 2 Coding operations workflow Product and engineering leads

Create a follow-up agent for Rize changes

Let a LatchLoop agent watch the workflow context exposed by Rize, collect what changed, and prepare the next action for the right teammate or agent.

Outcome

Keep engineering follow-up moving after code, issue, or deployment activity changes.

Starter prompt

“Use Rize to review the latest engineering activity, identify unresolved follow-ups, draft the next message or task, and explain which context was used.”

How the agent works

1 Start from a LatchLoop task that names the project, repo, issue, or release connected through Rize.
2 Ask the agent to find open follow-ups and group them by owner or next action.
3 Have the agent draft the task update, pull request note, or handoff summary.
4 Approve any tool calls that write back to the connected system.

Uses

Rize

Combine plugins

Build richer agents by pairing Rize with complementary context

Outcome pages can describe combinations: one plugin for source context, another for project tracking, and another for delivery or notifications. Use Rize as one layer in a larger agent workflow when the outcome needs more than one connected app.

Available plugin capabilities

rize

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