Time Tracking Labels, Without the Cap
Rize labels tag every time entry with the type of work, so reports, dashboards, and the agent read one consistent value. Create as many labels as your team needs, choose up to 30 for the AI to apply automatically, and keep the rest for manual tagging, agents, and the API.
How it works
A short list for the AI, and as many plain tags as your reports need.
01
No Cap on Labels
Teams are no longer limited to 30 labels. Add a label for every service line, billing code, internal project, or department your reports need, without deleting old ones to make room.
02
Auto-apply Decides What the AI Assigns
Each label has an Auto-apply switch. With it on, the label has an AI prompt and is a candidate every time Rize classifies a time entry. Up to 30 labels per team can have Auto-apply on, so the AI works from a short list you choose.
03
Plain Tags for Everything Else
A label with Auto-apply off needs no prompt and is never assigned automatically. It still shows in every manual label picker, and the Rize Agent, the GraphQL API, and the Rize MCP can assign it explicitly.
04
Classified From the Work, Not the App
Rize reads the time entry summary, window titles, and client, project, and task context before it applies a label. The app name alone does not decide, so a YouTube tutorial and YouTube Shorts can land on different labels.
05
One Label Everywhere
The label stays on the time entry next to its client, project, and task. My Timesheet can group by label, Tracked Time and saved dashboards can use labels as rows or columns, and reports, the agent, and MCP clients read the same value.
06
Control What Counts as Work
Under Advanced, the Counts toward work hours switch keeps a label's entries visible everywhere while excluding them from Work Hours. Use it for personal time or anything that should not inflate a capacity number.
The numbers
What changed with unlimited labels and Auto-apply.
Unlimited
Labels per team
30
Auto-apply slots per team
On
Auto-apply for every existing label
3
Ways to assign by hand: picker, Agent, API/MCP
Set up labels in three steps
Team admins manage labels from Settings. Existing labels keep Auto-apply on, so nothing changes until you choose.
01
Open Settings, then Labels
The labels table has an Auto-apply column between AI Prompt and Status, and the header shows how many of the team's 30 Auto-apply slots are in use.
02
Pick which labels the AI assigns
Turn Auto-apply on for the labels you want classified automatically and give each one a plain-language AI prompt. When Auto-apply is off, the prompt field is hidden and its value is kept, so turning it back on restores the prompt.
03
Add the rest as plain tags
Create labels for billing codes, internal projects, or one-off tags with Auto-apply off. Once all 30 slots are used, new labels default to Auto-apply off with a note explaining why.
How teams use labels
Three worked examples, from agency department reporting to tags only an agent sets.
Agency reporting by department
Retainer agency with creative, strategy, social, and media teams
The monthly burn report needs time split by type of work, but a 30-label cap forced a choice between the labels the AI needed and the department and deliverable tags ops wanted to report on.
With Rize: The work-type labels keep Auto-apply on so the AI assigns them. Deliverable and internal-project tags sit alongside them with Auto-apply off, and the burn dashboard groups by either.
Accounting firm service lines
Flat-fee firm reviewing client profitability
Partners want hours by client and service line, and the service-line list keeps growing. Adding every one as an AI candidate makes classification harder, not easier.
With Rize: The service lines staff work on daily get Auto-apply on with a prompt each. Rare ones are plain tags staff pick in My Timesheet, so every service line still shows up in reporting.
Agent-set tags
Ops team running a Rize Agent or MCP workflow
A workflow needs to mark entries with a tag the AI should never guess, such as an audit flag or a one-off engagement code.
With Rize: The tag is a label with Auto-apply off and no prompt. The Rize Agent or an MCP client assigns it explicitly, and automatic classification leaves it alone.