What is AI time tracking?

AI time tracking records what you worked on without you starting a timer, then uses a model to decide what each stretch of activity was in service of. The recording is ordinary automatic tracking; the AI part is the interpretation, turning a list of apps and windows into meaningful categories or timesheet entries.

Is AI time tracking accurate?

The recording of what was on screen and for how long is essentially exact. The interpretation is not: models misjudge ambiguous activity, such as whether a YouTube video is research or a distraction. In practice it is far more accurate than self-report, because people misjudge their own recent work by wide margins.

Is there free AI time tracking?

ActivityWatch is free and open source, records automatically, stores everything locally, and has no AI interpretation layer. Most tools with an AI layer charge for it, because the model calls cost money per user per month. Cronus is $6 a month after a three-day trial.

Does AI time tracking record your screen?

It depends entirely on the tool. Employee monitoring products capture periodic screenshots. Most consumer AI time trackers, including Cronus, Rize, Timing and RescueTime, read only the application name and window title and never capture pixels.

Updated August 2026

AI time tracking, explained by people who build one

Q: Can AI track time across multiple apps?

Yes. That is the main thing it is for. An automatic tracker records every application and window you move through, so a task spread across an editor, a browser, a terminal and a chat app is stitched back into one activity rather than four disconnected entries.

AI time tracking records what you worked on without a timer, then uses a model to work out what each stretch of activity was actually for. The recording part is not new. The interpretation is, and it is the only part where the “AI” label means anything.

We make one of these tools, so weigh this accordingly. What follows is the version we would want to read before buying: the three architectures, what each one can see, how accurate any of it is, and where the whole category is oversold.

What does the AI actually do?

Two jobs. It categorises, turning “VS Code, 41 minutes” into “work on the billing migration”. And it stitches, joining an editor, a browser tab, a terminal and a Slack thread into one task instead of four fragments. Neither is possible with rules alone, because the same app means different things on different days.

Can AI track time across multiple apps?

Yes, and this is the main reason to use it. A timer forces you to declare a task before you start. An automatic tracker records everything you pass through and reassembles the task afterwards, which is the only order that matches how work actually happens.

Is it free?

ActivityWatch is free, open source and entirely local, with no AI layer. Beyond that, tools charge, because model calls cost real money per user per month. Anything advertising unlimited free AI tracking is either loss-leading or the product is your data.

The three architectures, and what each can see

This is the distinction that matters most and the one marketing pages skip. “AI time tracking” describes at least three quite different things, with very different privacy consequences.

Approach	How it records	What it can see	Examples
Screenshots	Periodic captures of your screen, read by a model	Everything on screen: messages, banking, health, other people on calls	Hubstaff, Time Doctor, most employee monitoring
Window metadata	App name and window title only, no pixels	App names and document/tab titles, which can still contain client names	Cronus, Rize, Timing, RescueTime
Calendar and integrations	Meetings, commits, tickets, documents you touched	Only what the connected services already know	Reclaim, Motion, some Timely setups

The gap between rows one and two is enormous and rarely made obvious. A screenshot tool sees your bank balance, your messages and whoever is on your video call. A metadata tool sees that Chrome was open and what the tab was called. Both get described as “AI time tracking”.

Cronus is in the second row. We never capture your screen: we read the application name and window title, redact sensitive information on your device before anything is sent, and categorise server-side. That last part is a real trade-off and we would rather state it than bury it. If your requirement is that nothing leaves the machine, the honest answer is Memtime or ActivityWatch, not us.

How accurate is it?

Split the question, because the two halves have very different answers.

The recording is essentially exact. Which app was in front, which window was focused, for how many seconds. There is no estimation involved.

The interpretation is not. A model deciding whether a documentation page was research or procrastination is making a judgement, and it will be wrong sometimes. Any vendor quoting a single accuracy percentage is quoting a number from their own benchmark on their own definition of correct.

The relevant comparison is not against perfection, though. It is against the alternative, which is you remembering. In a randomised controlled trial, experienced developers estimated that a tool had made them 20% faster on real tasks from their own repositories. Measured, they were 19% slower: a forty percentage point error about work they had just finished. We wrote that study up in full. An imperfect record beats a confident memory by a wide margin.

Cronus showing a day broken down by what the time was in service of

What the tools cost, and what they see

Tool	Price	Records	Platforms	Screenshots
Cronus	$6/mo	Window metadata	macOS (Windows in progress)	No
Rize	$12.99–$49.99/mo	Window metadata	macOS, Windows	No
Timely	~$11/user/mo	Metadata + integrations	Mac, Windows, web	No
RescueTime	~$12/mo	Window metadata	Mac, Windows, Linux, mobile	No
Timing	from ~$10/mo	Window metadata	macOS only	No
Memtime	from ~$14/mo	Window metadata, fully local	Mac, Windows, Linux	No
ActivityWatch	Free	Window metadata, fully local	Mac, Windows, Linux	No
Hubstaff	from ~$7/user/mo	Screenshots (optional)	Mac, Windows, Linux, mobile	Yes

Longer reviews of each are in the 2026 roundup.

Where the category is oversold

It will not make you productive. It produces a record. Acting on the record is a separate and much harder problem, and no tool has solved it.

Automatic categorisation is not defensible. If your hours become an invoice or a legal bill, you need a human approving each line. That rules us out for legal billing and makes Timely, with its approve-the-draft flow, the better fit for consultants.

“AI” often means rules. A good deal of what is marketed as AI categorisation is a lookup table mapping domains to categories, which is why those tools keep asking you to classify things they have not seen before.

It is a poor surveillance tool, and that is deliberate. If you are looking for something to monitor staff, we are the wrong product and this is the wrong site.

Who it actually suits

People who have abandoned timers. If you have tried three manual trackers and stopped using all three, the problem is not which one. Every manual tool needs an action at the moment you switch tasks, which is exactly when you have nothing spare. This is worth reading before you buy a fourth.

People whose days are fragmented. The more contexts you pass through, the less your memory of the day is worth, and the more a record is worth.

People who suspect the week is not going where they think. Usually correct, and usually not in the way expected: the culprit is normally meetings and switching rather than anything that feels like slacking.

Three days free, then $6 a month

No timers to start. The trial counts only the days you actually use it, and Cronus never captures your screen.