Your agent finishes the job, then remembers how.Delegate your daily routine. Keep complete control.
Cowork works inside the tools you already pay for — mail, CRM, tickets, drives, warehouses — and turns whatever one person perfects into something the whole team can run. Every step is recorded, scoped and reversible.
Cowork connects with your personal email, calendars, cloud drives, and spreadsheets — executing multi-step tasks autonomously while keeping your personal data private, encrypted, and never trained on.
No signup. The demo below runs entirely in your browser on scripted data.
Most agents get one shot at your request.
This one gets three kinds of context.
Pick a request, then switch the context layers on and off. Nothing else changes — same model, same tools, same question. Watch what the answer costs you.
All three ship on. We start you with them off here so the difference is visible.
Build the October board pack for the CFO.
Scripted illustration built from real product behaviour, not a recording of a customer account. Timings are representative of the workflow, not a benchmark.
Eight architectural decisions that guarantee execution.Built for reliability, privacy, and full user control.
The competitive advantage is not the underlying model — it is the deterministic harness surrounding it.No complex prompts required. Cowork executes cleanly across your daily tools with complete transparency.
Single-Agent Ownership — Zero Context LossDirect End-to-End Execution
One agent owns the entire request from start to finish — no dropped state or messy handoffs.
One assistant finishes your task end to end without passing you between bots.
Versioned Packages, Not Fragile PromptsInstant Reusable Playbooks
Version-controlled packages with one-click rollback. Compose new workflows without rewriting.
One-click reusable playbooks so you never have to re-type long prompts.
Autonomous Playbook MiningAutomatic Routine Detection
Detects repetitive team workflows and auto-drafts verified, replay-tested skills.
Spots repetitive tasks and creates automatic shortcuts for you.
Continuous Schema & API HealingZero-Break App Updates
Quarantines broken integrations on API shifts and drafts owner hotfixes instantly.
Adapts automatically when your connected apps or web tools update.
Relational Knowledge Graph, Not Blind SearchPrecise Context Understanding
Indexes policies and numerical rules in a graph to enforce compliance on every query.
Applies your exact document rules and preferences with zero guesswork.
Per-Person, Auditable, and Erasable100% Private Personal Memory
Learns preferences conversationally. Inspect, edit, or purge any memory handle anytime.
Learns your habits privately — inspect, edit, or delete memories anytime.
AST-Screened MicroVM ExecutionIsolated & Encrypted Execution
AST-screened scripts run in air-gapped sandboxes. Credentials never enter model prompts.
Runs code in private sandboxes. Secrets and credentials stay strictly local.
Immutable, Queryable Audit RecordsFull Visibility & 1-Click Undo
Full queryable console logs actor identity, latency, tool calls, and diffs.
Complete activity history with instant one-click rollback for every run.
Check whether it reaches your stack.
Apps it can act inside, and databases it can read from. Type anything.
Not on the list — which is not the same as unsupported. Point Cowork at your own MCP server or an internal API and it becomes something the agent can use, without code.
The honest risk isn't a stolen password.
It's a web page or an email quietly instructing your agent to act on your behalf. Here is what sits between the two.
Instructions hidden in content it reads
Web pages, fetched images and third-party tool responses are screened for injected instructions before they reach the model. A session that has read anything external is marked, and in a marked session a sensitive write needs a human click — even when the screening found nothing.
Bulky reads are gated the same way as writes, so data cannot be smuggled out inside a long query string.
Code the agent writes for itself
Scripts are screened twice before they are ever stored — a deterministic pass over the syntax tree and a reviewing model — and then executed in a disposable container with no network access and no reach into anything else you own.
Who can see what
Skills, documents and knowledge are scoped to real departments, and nobody sits outside one — so access is never accidentally everything. An uploaded document stays private to whoever uploaded it until it is published to named departments, and recipients can opt out of one individually.
Credentials
Connected secrets and API keys are encrypted at rest and decrypted only inside the sandbox at the moment they are used. They are never placed in a prompt, and the model never sees them.
Your data and the models
Queries, chats and files are not used to train models. Memory and knowledge gathering can each be switched off, which stops the feature and deletes what it had stored. Any person can export their full history or have it erased.
Admin reach
Org admins manage users, departments, skills and quotas from a console that cannot read your team's conversations. Platform operators are a separate identity with separate sessions and no access to product features at all.
Bring the one report your team dreads rebuilding.
Forty-five minutes to map it. Thirty days to have it running without anyone assembling it. We agree what "working" means before we start, and you keep everything built along the way.
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