14 days free · 2,000 AI credits during trial · Card required
Anya AILead assistant · on trial
Manual
Everyone delegates. You stay in control.
A role, not a promptResponsibilities, context and memory of her own.
Permissions you setA copy of a normal role. More access? She asks, by name.
Trial mode firstShe proposes; every change is a card you approve.
Every action on the recordSame feeds, same audit trail, every change a receipt.
The lifecycle · real screens
From a role description to a teammate at work.
Create a persona, define its responsibilities and bring it into a project — a role, useful context and work you can review.
01
Describe the role
Start with the work you need done.
Describe the job in your own words and answer a short interview — a few questions that matter, sensible defaults for the rest. The charter arrives ready for review.
Actual persona brief · demonstration workspace
02
Set boundaries
Give the role a clear charter.
Who she may write to first and on which channels, her working hours, a daily credit budget, and the things she never does — set per teammate, changed any time.
Actual persona configuration · demonstration workspace
03
Start a trial
Review readiness before active work.
A new hire starts with proposals only: every change arrives as a card you approve, and nothing happens without your click — until you activate her yourself.
Actual persona in trial mode · demonstration workspace
04
Assign the work
A teammate inside the project.
Assign tasks with real project context; activity lands in the same feeds and audit trail as everyone else’s work.
Actual project task with Nora assigned · configuration demo, not a completed autonomous run
05
Manage the lifecycle
Pause when you need to.
Paused, she acts on nothing until you resume her. Changes can be reverted from her feed, and even dismissal keeps her history.
Actual persona lifecycle controls · demonstration workspace
Beyond the teammate
The same AI, across the workspace.
Personas are one way AI shows up here. The rest of the workspace answers to the same plain words.
Actual saved AI-generated workflow · inactive draft, not tested
Describe the process.
Supported text instructions become a visual workflow — review the trigger, steps and timing before anything runs.
Personas are workspace teammates with roles, instructions and a lifecycle. Customer-facing bots have their own builder, knowledge sources, channels and testing tools.
Can we review work before relying on it?
Use trials, review proposals and inspect activity. Configure responsibilities, access, escalation rules and budgets, and pause a persona when needed.
Does one AI setup include every feature shown?
The teammate walkthrough uses Personas and Projects. Workflow generation belongs with Automation, business reporting with Analytics, and customer-facing bots with AI Chatbot. Each uses its own relevant setup and connected data.
What do the examples show?
The persona scenes are demos with scripted activity and demo data. Product screenshots show the actual interface, including configuration, project assignment, workflow previews and analytics. These examples do not claim that a persona completed a project autonomously.
Start with one role
Give your team a new kind of teammate.
Start with Personas and Projects for the teammate shown here, and add CRM context, Automation or Analytics around the work you want AI to help with.
Nextora
