Pick up where work stopped
Durable missions and saved context retain the assignment, completed steps, and evidence across interruptions.
A payment gets returned. An appointment moves. A customer confirms a deadline. Talavine brings the messages and the next steps into one place, with the evidence there to check.
Real desktop app captures with a fictional demo profile. The messages, calendar entries, and starter tasks were added for this walkthrough. No payment, booking, or message was sent.
Sally asks about a returned payment, changed appointment, revised flight, and customer deadline. The assistant fills gaps with focused lookups, combines the sources, and catches the appointment conflict.
The source links show what supports each claim. A search that finds some evidence does not establish complete coverage; when relevant follow-up searches cannot fill a gap, the answer should explain what remains unknown.
Sally said she submitted the $480 payment. The bank later said it was returned. The assistant's citation opens that correction, with the original date and the linked task in view.
Model Scout selects from the connections available for the job. You can request a model, and a feature can require a specific capability. If no suitable route is available, the work stops with a failure instead of silently using an incompatible connection.
The same model can have different connections. Here, Astra through a Codex CLI subscription, the OpenAI API, and OpenRouter appear separately. Connection availability and supported features still need to be checked.
Sally's appointment is now at 2:30 PM on Friday. Her Sunday flight leaves at 11:20 AM. The demo includes both original messages and corrections, so you can ask what changed and inspect the records behind the answer.
The returned $480 payment needs checking. Maya needs the accessibility checklist and two customer quotes by Friday at 3 PM; the security questionnaire belongs in a separate Monday packet. Each starter task retains the source messages that explain it.
After checking the sources, Sally asked the assistant to prepare Maya's reply. It saved the draft, read it back, and checked the recipient and body. The message is ready for review in Drafts.
Some improvements happen behind the scenes. They make longer assignments easier to resume, change, and check. Their availability depends on the host, provider connection, and task.
Durable missions and saved context retain the assignment, completed steps, and evidence across interruptions.
Saved steering lets you narrow the work while it runs, such as keeping a database schema unchanged.
Independent verification compares the outcome with evidence. A tool reporting success is only part of the check.
Mission accounting reserves and tracks supported cost, token, time, and tool limits, including delegated work. Unknown usage is not treated as free.
Concurrent tools and scoped child missions can work on separate steps, then join their results when dependencies are ready.
Browser workflows can inspect outcomes. Coding and security tasks use isolated workspaces and verification. General desktop control is a separate capability.
These execution improvements have automated integration coverage. The screenshots above demonstrate the named desktop views; they do not claim a live demonstration of every provider protocol or mission workflow.