A persistent operator agent, not a disposable prompt box.
AgentJack is the execution product at the center of the new ecosystem: one runtime that can live in webchat, CLI, gateway flows, channels, and app-aware operations.
Teams keep buying AI features that never become an actual operating surface.
Chat-only tools vanish when the browser tab closes and do not hold a durable operator context.
Execution, memory, security, and integrations often get smashed into one brittle runtime.
Most AI copilots are not built to hand work safely between web UI, channels, notes, and operator workflows.
Organizations need a real agent product with boundaries, not a demo-grade interface.
A runtime with surfaces, memory, and app boundaries.
AgentJack keeps execution orchestration stable while apps such as Brain, Garage, Notes, Security, and Courseroom evolve independently around it.
Multiple operator surfaces
CLI, gateway runtime, and SvelteKit webchat all point at the same core orchestration model.
Real execution backend
OpenCode-backed execution paths make it useful for actual work instead of just conversational theater.
Boundaries by design
Apps, automation, integrations, and security stay split so one problem does not take the whole product down.
How we deploy it
Scope the operator role
Decide which workflows the agent should own and which should stay advisory, approval-gated, or human-led.
Wire the surfaces
Set up the runtime in webchat, CLI, channels, notes, and the supporting app layer your team needs.
Train and harden
Verduona helps the team adopt the workflows and keeps the runtime boundaries operationally sane.
Explore AgentJack
Request a walkthrough
See how the current runtime, app launchers, and boundaries work together.
Book walkthroughPlan a pilot
We can scope a private beta rollout around one operator problem first.
Start pilot conversationTrain the operators
Verduona runs the operator training layer so the product actually gets used well.
Add training