AI that reads your day, not your screen
TimeCampus is intelligent, personalized and proactive. It observes every source, explains where your time really went, and acts on it with recommendations, automations, mentors and recovery plans — without screenshots, and never without you.
Manual timers get forgotten and monitoring tools produce data nobody trusts, so TimeCampus captures plain intervals from channels built for each platform — an app, a domain, a repo event, a trip — never pixels or keystrokes.
That stream only matters once something names the project, the goal and the part of your life behind each hour, compares it with where you meant to be, and proposes the next step. That is the AI in TimeCampus.
Intelligent, personalized and proactive — and TimeCampus never decides for you without showing its evidence.
AI-native by architecture, not bolted on
Four architectural choices that make AI a first-class part of TimeCampus rather than a chat window on the side.
Intelligent: every hour gets a meaning
TimeCampus classifies what each interval was, links it to the right project, goal and life area, and shows whether a rule, a model or you decided.
Personalized: judged against your goals
It learns your rhythms, values and targets, and measures a day against the shape you asked for, not a generic productivity score.
Proactive: it raises the moment, not a report
It notices a drifting goal, rising overload, a chore worth automating or a mentor who could help, and brings it to you at the right time.
Private by design: consent before storage
Every source has its own consent and retention. Personal context never reaches an employer, and team views are aggregate.
From intent to a governed action
Walk the path a request takes. Select any stage to see what happens there and what backs it.
Stage 1 of 5 · Observe
Every source streams through its own channel
Editor extensions, the GitHub app, the Chrome extension, mobile and desktop apps, fitness, maps, work tools, IoT streams and your own SDK channels.
Consent is checked before anything is stored, repeats are ignored and overlapping intervals are merged, so nothing is double counted. Everything lands in one governed data sink, shared with BigConsole for business intelligence.
What the AI in TimeCampus actually does
Filter by area, then open any capability for the detail and how it works — from observing every source to optimizing what happens next.
Where the AI shows up
The places AI meets your time in TimeCampus, from capture to the next best step.
In-app assistant
An assistant on every screen that knows where you are and answers questions about your time with evidence.
- Present everywhere you work, not parked on a separate AI page
- Knows the screen and the item you opened — not your device or your browsing
- Cannot do anything you could not do yourself
See it as a real scenario
Every AI capability above shows up in a concrete TimeCampus story. Open one to read the full walk-through.
Ask your time anything, in plain languageQuestions answered with a chart, the evidence and how much of the week it saw.Read the story
Find the repetitive digital work, and automate it awayTimeCampus spots recurring manual tasks and drafts FluidGrids automations for them.Read the story
Get back on track, or ahead, with a recovery planWhen a goal drifts, TimeCampus builds the plan, schedules it and follows through.Read the story
Let TimeCampus name the project behind each hourYour own rules first, a model second, and neither one allowed to touch your timesheet without you.Read the story
Recommendations for the physical and the digital dayFocus, meetings and email; sleep, movement and commute — with the evidence attached.Read the story
Decide what the intelligence is allowed to seePer-source consent honoured before anything is stored, and personal context an employer simply cannot read.Read the storyAI you can actually let near your data
An AI-native product has to be governable. These are the controls TimeCampus puts around every model, agent and recommendation.
Permissions checked before the AI, not by it
Personal analysis and recommendations are yours alone. An employer or workspace account cannot reach them, and cannot even confirm that yours exist.
Consent and retention per source
Switch a source off and nothing new from it is stored; you can also remove what it already sent, export your data or delete it.
No guess ever lands on an invoice
A suggestion sits beside the hour, never on it. Only your acceptance or your own edit writes the project that drives billing, and your edit is marked as yours.
Destructive agent actions stop and ask
Tools marked destructive will not run without an explicit confirmation, and automations run only after you approve them.
Evidence with every answer
Answers, scores and recommendations show their sources and how much of the period they covered, so you can see how far to trust them.
No screenshots, no keystrokes
Channels record what kind of work happened, never its content. There is no idle policing and no screen recording, in any plan.
Models
TimeCampus works with leading model providers and labels every AI result with the model behind it. Your own rules keep working with no model configured at all.
- Google Gemini
- OpenAI
- Anthropic
The honest answers
Only the interval details needed for the task you asked for — for example the app, domain or title of an hour plus your own project names when TimeCampus suggests a project. There are no screenshots or keystrokes to send, and sources you switch off are never stored at all.
Put TimeCampus’s AI to work
TimeCampus is intelligent, personalized and proactive. It observes every source, explains where your time really went, and acts on it with recommendations, automations, mentors and recovery plans — without screenshots, and never without you.