Primary workflow
Meeting schedule management
Corivo knows your calendar, finds the next routine meeting, and surfaces the time, meeting ID, and relevant details without another search.
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Feature
A proactive AI assistant that surfaces the next useful step.
Most AI is reactive. You type, it responds. A proactive AI assistant changes the rhythm — it watches the patterns of your day and surfaces a useful next step on its own, ready to be accepted or ignored in one click.
The problem
Why a proactive AI assistant
Reactive AI is good for explicit requests, but most of the day is not explicit. A proactive AI assistant covers the in-between moments — the meeting starting in 10 minutes you have not prepped for, the email reply you forgot was waiting, the recurring task that always slips.
Asking an AI tool for help requires noticing that you need help. Half the productivity loss happens before you notice, in the gap between 'something is overdue' and 'I should do something about it'.
Calendar reminders, email rules, and shortcut macros are rigid. They fire on schedules and on event triggers, not on the actual state of your work. A proactive AI assistant reads state instead of events.
A proactive AI assistant reads the actual state of your work — active app, recent capture, upcoming calendar, open threads — and proposes something useful, but never blocks. Drafts wait quietly until you look at them.
What it does
The useful parts, not another chat surface.
Prepares routine moments
Meetings, reports, standups, and follow-ups can start with the context already gathered.
Surfaces grounded reminders
Suggestions come from captured work and connected tools, not generic productivity rules.
Keeps you in control
Corivo prepares, suggests, and queues. You decide what to send, run, or ignore.
How it works
How proactive help stays grounded
Corivo looks for practical moments where local context can reduce prep work, then presents the next step without taking over.
- 01Calendar and recent work help prepare meeting context.
- 02Local history and tool activity support workflow review.
- 03Notification history prevents repeated reminders after dismissal.
Proactive suggestions are generated locally based on patterns the agent sees — meeting about to start, open thread waiting on you, recurring report due. The trigger model runs on your computer, not on a Corivo server.
Each suggestion is a draft, not an action. You see what the proactive AI assistant would do — the brief, the reply, the report — and accept, edit, or dismiss. Nothing is sent without your explicit accept.
Notification volume is bounded. You set a daily cap; the assistant prioritizes higher-confidence suggestions and saves the rest. Quiet hours silence it entirely during the windows you configure.
Triggers are inspectable. You can see why the assistant surfaced a specific suggestion: the calendar event, the unread thread, the pattern from work memory. Nothing fires from a black box.
Typical workflows
Where this shows up in real work.
Meeting prep, 15 minutes ahead
Calendar shows a meeting at 2:00 PM. At 1:45 the proactive AI assistant surfaces a one-page brief: attendees, recent threads, shared docs, your pending action items. You skim it before you join.
Waiting-on-you summary, end of day
At 5 PM the assistant lists threads waiting on your reply, ranked by importance and how long they have been open. One click drafts each reply from real context, ready to edit and send.
Recurring report nudge
Every Friday the assistant reminds you about the weekly summary, with a draft already assembled from work memory and tool context. You edit, you ship.
Open ticket follow-ups
Linear or GitHub issue has been quiet for a week. The assistant surfaces a short status check it can send for you, drafted from the most recent activity on the ticket.
Calendar conflict catch
A new invite overlaps an existing focus block. The proactive AI assistant flags the conflict and proposes a reschedule that fits both calendars, so you do not learn about it five minutes before.
Use cases on video
Watch the capability show up in real workflows.
Related workflow
Review my workflow
Corivo looks back over what you have been doing and points out practical improvements in how work is moving through your day.
Related workflow
Remember what I forgot
Corivo helps recover the specific thing you agreed to yesterday, even when all you remember is the rough scene.
How it differs
How a proactive AI assistant differs from notifications
Notifications fire on events ('new email,' 'meeting starting'). A proactive AI assistant fires on state — what is actually waiting on you, what is overdue, what is about to need attention. State-driven suggestions are more useful and less noisy.
Most AI products require you to start the conversation. A proactive AI assistant is ambient: it brings drafts and summaries to you, with a low-noise UI that prioritizes the highest-confidence suggestions.
Suggestions are scoped to a daily cap. You will not be flooded. The assistant is silent during quiet hours you configure, and you can pause it entirely while keeping the on-demand agent active.
Built-in calendar / mail nudges
Trigger on time or unread state. A proactive AI assistant triggers on actual work state — open threads, work memory patterns, pending commitments.
Zapier / Make automations
Rule-based workflows. A proactive AI assistant adapts to context the rules would not see, and the suggestion is always a draft you can edit.
AI scheduling assistants
Focused on calendar only. Proactive AI in Corivo spans email, tickets, docs, and meetings together, because the local agent already has all of those in context.
FAQ
Common questions.
What is a proactive AI assistant?
A proactive AI assistant watches your work state and surfaces useful next steps — meeting briefs, draft replies, recurring report drafts — without waiting for you to ask. Each suggestion is a draft you can accept, edit, or dismiss in one click.
Will Corivo spam me with suggestions?
No. Suggestions are bounded by a daily cap, prioritized by confidence, and silenced during quiet hours you configure. You can adjust the cap or pause proactive help entirely while keeping the on-demand agent active.
Can I see why the assistant surfaced a suggestion?
Yes. Every proactive suggestion shows the trigger: the calendar event, the unread thread, the pattern from work memory. Nothing fires from a black box, and you can inspect each suggestion's reasoning.
Does the proactive AI assistant work on both Mac and Windows?
Yes. The trigger engine and the suggestion UI are the same on both platforms. Quiet hours, daily cap, and trigger inspection all behave identically on Mac and Windows.
Does the assistant ever send anything on its own?
No. Every suggestion is a draft. The proactive AI assistant proposes; you decide. Nothing is sent, scheduled, or filed without your explicit accept on each suggestion.
How does it learn what I find useful?
Locally. Your accept / edit / dismiss feedback updates a local model that adjusts which triggers fire and how often. Feedback does not leave your machine; the model improves on your computer, for your patterns.
What if I want a quieter assistant?
Lower the daily cap or disable specific trigger categories (meeting briefs, waiting-on-you, recurring reminders). You can also pause proactive help entirely while keeping the on-demand local agent active for explicit commands.
Related paths
Keep following the thread.
Meeting prep
The brief, 15 minutes ahead.
Standup updateDaily summary, proactively drafted.
Local AI agentThe agent that proactive suggestions invoke.
Work memoryThe history that feeds proactive triggers.
Tool contextHow proactive suggestions pull from connected tools.
Calendar integrationMeeting briefs and conflict detection.