You said building the new feature was top priority. You only spent 15 min on it yesterday.
Most of the hours that would have gone to it slipped into the roadmap review and two unplanned Slack threads.
The distance betweenwhat you intend to doand what you actually domeasured gently.
You opened the draft to Russ Hanneman at 4:12pm and closed it without sending.
The commitment was due today. The draft sat open for three hours, then disappeared behind Slack and Zillow.
You missed Tuesday's run, then repaired it by sleeping early and logging Wednesday's workout.
Monday's late dinner pushed into a missed Tuesday run and a tired workday. You recovered by sleeping early, waking before the calendar, and logging the workout Wednesday morning.
Dinner at home happened. The anniversary planning call did not.
The family habit stayed on pace, but work from home stretched long enough that the anniversary planning call slid again.
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The core idea
Instead of prompting an agent,
an agent prompts you.
Alvum grounds the agent
in real observations and
keeps track of the decisions
that led you to this point.
Alvum captures your day across audio, screen, and a small wearable, builds a causal graph of the decisions you made, and delivers a morning briefing grounded in the trail that led you here.
Every other tool waits for you to know what to ask. Alvum already knows what happened yesterday, what you said you wanted, and where the two quietly diverged. It asks the question you would have forgotten to.
Privacy posture
What happens in your life stays yours.
A system that listens to your life has to earn trust in architecture, not in a policy document. Alvum gives you tools to capture a raw record of everything that happened: audio, screen, sensors, and other services. We provide the connective tissue to keep your data on your own devices. Nothing leaves unless you send it somewhere else for processing, and even then it's still your choice.
For example, when reasoning needs a large model, Alvum calls it through your own access key to the provider of your choosing. You have control over every prompt, every token, every destination.
Raw capture data as a first-class citizen.
Raw data is as close as you can get to real observations of the world. As AI models get better, rerun models on old data to get new insights.
Your keys, your provider.
When a synthesizer needs a frontier model, Alvum uses your provider of choice: OpenAI, Anthropic, Amazon Bedrock, a local model. Use whatever you trust today and switch between providers.
Fully managed available.
Don't want to fuss with the technical details? We'll take care of it for you. We route your data to AI providers that do not train on your data. We charge a small percentage rate usage to keep the lights on, otherwise you pay for exactly what you use.
Take your data with you.
Capture and store all your data offline on device. All captured data remain in their raw forms as human-readable and plain media files. Copy it, sync elsewhere, back it up, delete it. No database, no lock-in.
IntentObservedAlvum suggests
| Intent: Ship v1.5 alignment engine by end of May. |
| Observed: 3h 20m on migration today; launch slipped two weeks. |
| Alvum suggests: Stage the dry run before Apr 28; keep the risk review chaired. |
| Intent: Send design doc to Russ Hanneman by Friday. |
| Observed: Draft opened 4:12pm, closed; Russ email still unsent. |
| Alvum suggests: Use tonight's check-in to choose a pass or new deadline. |
| Intent: Run a half marathon in the fall. |
| Observed: Wed run skipped for the deck; Friday dawn repaired the gap. |
| Alvum suggests: Protect the next weekday run slot. |
| Intent: Dinner at home four nights a week. |
| Observed: Home by 6:45pm; anniversary planning call postponed. |
| Alvum suggests: Keep dinners; resurface the planning call. |
What it measures
The quiet gaps between what you mean and what you live.
Whatever shape your intentions take, each is scored against the evidence of what your day actually contained. Drift is surfaced before it becomes a month.
How it works
Record during the day. Process while you sleep.
Alvum works in two phases on a daily cycle. During the day Alvum collects raw captures of your life invisibly. At night, we take advantage of unused usage allowances of your existing AI subscriptions to digest and make sense of the data. In the morning, you will find a personalized briefing tailored to course correct you towards your goals and aspirations. No subscription? No problem. We are working on a hassle-free all-inclusive plan that guarantees privacy.
DAY · RECORD
Alvum listens quietly.
Conversations, screens, places, the small gestures that make up a day. Everything captured is directly captured to device. You will build up a faithful record of everything that has happened and own that data.
NIGHT · PROCESS
Alvum thinks while you sleep.
Overnight, the observations from the day are heavily processed by an AI provider that respects your privacy. Actions throughout the day are threaded, weighed against what you said you wanted, and connected to the weeks behind it. By morning, Alvum has a briefing ready for you to guide your day.
The ecosystem
Simple connectors for end users.
Powerful tools for developers.
Don't want to deal with the details? Tick a few sources and Alvum gets on with it. Everything beyond that is handled by a composable framework for developers.
For end users
Tick what you want Alvum to listen to. That's the whole setup.
Audio
Mic + system audio.
Screen
Apps, text, focus changes.
Claude Code
Coding sessions as context.
Git
Commits and diffs.
Wearable
Data from third-party recorders.
Services
Gmail, Notion, Strava, etc.
For developers
Every capture and every processor is a component. Compose freely.
Under the hood each source and each analyzer is a small module on a routing matrix. Split one capture to several processors, merge several captures into one. Build user-facing connectors as a packaged solution.
Invisible by default
Set it once. Forget the plumbing.
Out of the box Alvum routes common sources for you: your microphone audio gets transcribed, your screen gets read for text and context, your online services are layered in as additional context.
Open ecosystem
Wrap and reshape anything.
Developers can wrap a service integration, reshape a data source, and route it through the processing matrix.
Towards completely offline
As models get smarter, nothing will leave your devices.
We'll make hardware one day: a single-purpose AI machine that runs the whole system on your desk.
Get Alvum.
Download the current macOS build, or open your account to manage Alvum Cloud subscription and billing.