Your team and AI, working together
Cowork is the collaborative layer where humans and agents share context, trade corrections, and build trust over time. Not a chatbot — a workspace.
Graduated autonomy
Each task type progresses through three autonomy modes independently. An agent might be fully autonomous on data extraction while still in draft mode for compliance reviews. Trust is earned through demonstrated accuracy, not configured through settings.
When an agent hits an edge case, it pauses and escalates. No silent failures. No hallucinated outputs. Every correction flows back into training — the system literally learns from disagreement.
Agent produces output. Human reviews before anything ships.
Agent acts on high-confidence tasks, flags ambiguous ones.
Agent executes end-to-end. Humans handle edge cases.
Performance
Design principles
Built for trust, not just throughput.
Every design decision optimizes for trust between humans and agents. Transparency, auditability, and human control are first principles.
Living Playbook
Human-editable, version-controlled operational knowledge that agents read and humans own. Not a static document — a living system that evolves with every interaction.
Pause, Don't Fail
When an agent hits an edge case, it pauses and escalates. No silent failures. No hallucinated outputs. The human always has the final word on ambiguous decisions.
Every Correction Trains
When a human overrides an agent decision, that correction becomes a training signal. The system literally learns from disagreement, compounding judgment over time.
Living Playbook
Operational knowledge that breathes.
The Living Playbook is the shared context layer between humans and agents. Humans author, agents consume, and corrections flow back continuously.
Write, read, learn — continuously
Domain experts author playbook entries. Agents consume them before every decision. Corrections improve the system.
Human writes
Domain experts author and edit playbook entries using natural language.
Agent reads
Agents consume playbook context before every decision. Always grounded.
System learns
Corrections flow back into the playbook. Knowledge improves continuously.
Every decision is traceable
Every decision, override, and escalation is logged with reasoning. Compliance teams can trace any output to its source.
Every agent action recorded with full reasoning chain and confidence scores.
Human corrections tracked with before/after comparisons and rationale.
Every pause-and-escalate event logged with context and resolution outcome.
One-click audit reports for regulatory review and internal governance.
See human-AI collaboration in action.
Watch an agent draft, a human correct, and the system learn -- in real time.