The AI work system
Aghata does the work. You keep the control — and the knowledge.
Give it an outcome. It plans, browses, runs code, and uses your tools — pausing when your judgment matters — then delivers work you can inspect, and remembers what you approved.
Request
Pull this week's signups from the dashboard, reconcile against Stripe, and email me the discrepancy report.
Browser · signup dashboard
Opened metrics, exported this week's signups
Computer · reconcile
Matched 412 rows against Stripe — 3 discrepancies
Approved — email sent
Send discrepancy report to you@company.com
Send · report email
Delivered with the reconciliation attached
signup-discrepancies-week-28.md
Output · saved to Library with sources
Remembered: Stripe is source of truth for signups — linked to this run's evidence
Proof of work
One request, watched from plan to deliverable.
Every task runs as an execution session you can open at any moment: the plan, each browser and computer step, the pause where it needed you, the output it produced, and the memory it kept. Nothing happens in a black box.
You ask
One message with the outcome you want. Aghata drafts a plan you can see — which tools, which sites, what it will produce.
It works, visibly
Steps stream into the Execution Cockpit as they run. Anything risky — a send, a purchase, a login — stops and waits for you.
You keep it
The deliverable lands in your Library with its sources. What your team approved becomes memory the next task starts from.
A new species of work system. Purpose-built for delegation, Aghata carries work from request to reviewed deliverable — and remembers what you approved.
FIG 0.1
Built for outcomes
Shaped by how work actually finishes: you name the result, Aghata plans the route and does the legwork.
FIG 0.2
Powered by durable agents
Sessions run for hours, pause where your judgment matters, and resume exactly where they stopped.
FIG 0.3
Designed for memory
Every approved deliverable becomes knowledge your workspace keeps. The tenth task starts smarter than the first.
One system, every kind of work
It works. You stay in charge. It compounds.
Research, operations, campaigns, data — the same watched engine, the same kept results.
From question to cited deliverable
- Deep research runsA visible plan across the web and your connected tools — not a one-shot answer.
- Sources keptEvery claim stays linked; citations travel with the artifact.
- Sandboxed analysisCode over your exports in an isolated sandbox, with durable generated files.
- Finished artifactsReports, decks, and datasets land in Library — deliverables, not chat.
Portals, orders, back offices — watched
- Browser modeWorks the dashboards, portals, and back offices that only exist behind a login.
- ApprovalsSends, purchases, and anything irreversible pause until you say go.
- Credential vaultUsable by the agent, readable by no one — every use written to an audit ledger.
- Live viewWatch every click as it happens; take over any time.
Campaigns with review built in
- Email goalsHand a thread to Aghata and it works the conversation to done.
- Drafts with live previewSee the exact email — subject, body, variants — before anything moves.
- Review gatesNothing sends without a yes; suppressions and consent are applied first.
- Delivery reportingResults land back in your workspace as a report you can query.
Your data does the triggering
- Native TablesImport, edit, and query your records in place — no external spreadsheet.
- Record-triggered runsA row changes and work kicks off, as a session you can open.
- EnrichmentConnected apps fill the gaps — fields sourced, cited, and written back.
- Queryable outputsWhat a run produced stays attached, so the next task starts from it.
Two ways to work
Computer for your tools. Browser for everything behind a login.
The boundary is simple: Computer mode works with APIs, files, and code in a sandbox. Browser mode operates real websites — with your credentials held in a vault, and a live view you can watch or take over.
Computer mode
Connected apps and MCP servers as tools, sandboxed code with durable files, research with sources kept — finished artifacts, not just messages.
Browser mode
Logged-in dashboards, portals, and back offices — operated in a real browser with a live view. Watch every click, take over any time.
One set of controls
Credentials live in a vault the agent can use but never read, sends wait for your approval, and a run pauses when a site demands a human.
The whole point
Finished work you can inspect, approve, and keep.
Where work starts
Six doorways into the same engine.
However work arrives — a message, an email, a schedule — it becomes the same inspectable session with the same controls. Each doorway is a chapter you can read.
Computer mode
Hand it the outcome — and read the plan before it runs
Browser mode
Logged-in sites, worked with credentials it can't read
Inbox
An agent with its own email address, working threads to done
Tables
Data it queries exactly and changes only by proposal
Memory
What it learned, readable and governed — never a black box
Routines
Every Monday at 8am, without you — and without cut corners
Individuals and teams
Personal by default. Team-ready when you are.
Everything starts personal — your memory, your vault, your library. Flip a scope and the same primitives become shared: team memory with governance, shared credentials with per-use audit, assignment, mentions, and escalation when a run needs a specific human.
Roles. Workspace roles via your identity provider.
Scopes. Personal and team scopes on memory, vault, and library.
Assignment. Assign sessions to teammates; mention whoever a run needs.
Escalation. Approvals route to whoever owns the call.
Audit. Every action attributed and auditable.
Teams. Talk to us about rolling Aghata out →
Pricing
Start free. Scale when the work does.
Every plan includes the controls — approvals, vault, audit, memory governance. Paid tiers buy more work, not more safety.
Give it the outcome. Keep the control.
Start free in the product, or talk to us about how your team would use it.