Autonomous mode
For larger jobs, hand off an instruction and let agents work it through in verified chunks — with gates, auto-commit, and rollback.
The concept, in plain terms
Some work is too big for a single turn. Autonomous mode lets you hand off a multi-step instruction across a set of targets; the agent works in configurable chunks, verifies as it goes, and commits or rolls back.
You stay in control: autonomy is opt-in and scoped, and every run is observable and stoppable.
From concept to capability
Chunked execution
Work proceeds in verifiable steps, not one risky leap.
Learn moreVerification gates
Optional import/runtime checks between chunks.
Learn moreCommit or roll back
Good chunks commit; failures roll back cleanly.
Learn moreObservable & stoppable
Monitor progress and stop any run instantly.
Learn moreWhat you get from it
- Tackle big, multi-step work.
- Safety checks built into the loop.
- You can stop it anytime.
More platform capabilities
Multi-model chat & smart routing
One chat, many models — routed to the best fit by intent, with vision and PDF input.
Learn moreVoice in and out
Speak your request and hear the answer — optional speech-to-text and text-to-speech.
Learn moreCoding agent
An agent that reads your repo, plans changes, writes code, and runs commands over SSH — under approval.
Learn moreTest runner
Discover and run your test suites with per-file pass/fail status and history.
Learn moreWorkflow automation
Trigger → condition → action rules that respond to events — no code.
Learn moreBI & reporting
Ask for a report in plain language and get a query, a chart, and a saved dashboard.
Learn moreKnowledge base & wiki
Shared and per-organization wikis your agents can draw on — plus uploaded datasets.
Learn moreSelf-improving agents
The platform learns from run failures and proposes new playbooks — promoted only with human approval.
Learn moreSee autonomous mode on your own data
Book a walkthrough and we'll show this working against the systems and use cases that matter to you.