Wexa AI
  1. Onboarding
Wexa AI
  • Wexa AI
  • Use Cases and Workflows
  • API Reference
  • Troubleshooting Guide
  • Onboarding
    • Getting Started with Wexa
    • Hire your AI Coworker
  • AI Coworker Creation
    • Create your First AI Coworker
    • Process Flows
    • Creating your First Agent
    • Schedule a Process Flow
    • Executing a Process Flow
    • Settings - Input Form
    • History
  • Tables
    • Intro to Tables
    • Adding records to Tables
    • Table Triggers
  • Knowledge Base
    • Intro to Knowledge Base
  • Connectors and MCP Servers
    • Adding a New Connector
    • Adding an MCP Server
    • Setting up Connectors Triggers
  • API Endpoints
    • Project
      • create project
      • Get all projects
      • Get project
      • update project
      • Delete project
    • Agentflows
      • create agentflow
      • get agentflows
      • Get agentflow by projectId and UserId
      • get agentflow by id
      • Add skilled agent to agentflow
      • Update skilled agent
    • Connectors
      • get connectors by projectid
      • get connector by Id
      • Delete a connector
      • connector update status
      • get all available trigger actions
    • Skills
      • create skill
      • get skills
      • get skills by category'
      • get skills by id
      • skills by name
    • Executeflow
      • create executeflow
      • get executions
      • execute agentflow
      • pause executeflow
      • resume execution
      • cancel executeflow
      • get execution by execution id
      • get execution details for monitoring
    • Customer
      • get customer
      • Get credit history
    • Actions
      • create action
      • get action
    • Files
      • Connectors and MCP Servers
      • upload files
      • get files by fileid
      • get connector by fileid
      • get files by connector_id
    • Inbox
      • get inbox
    • Tags
      • tags
    • Tasks
      • get tasks
      • get task by id
      • Pause running task
      • resume task
      • Stop task
    • Tables
      • create table
      • create database
      • get tables
      • get records list
      • get table names
      • delete record
      • delete a column
    • Dashboard
      • get dashboard
      • refresh dashboard
      • delete component in dashboard
    • Settings
      • get settings
    • Marketplace
      • get all connectors
      • get marketplace coworkers
      • get marketplace coworker by id
    • Coworker schedules
      • get schedules
      • create coworker schedule
      • get schedule coworker by its id
      • update schedule by its id
      • delete schedule by its id
    • Analytics
      • Get analytics
    • Marketplace coworkers
      • hire a coworker
      • check marketplace coworker update
    • Project member
      • project_member
    • Available Connectors
      • Actions
  1. Onboarding

Hire your AI Coworker

1: Sign Up or Log In#

1.
Create an Account
Visit Wexa’s platform and click Create Account.
Enter your email (e.g., yourname@domain.com) and password.
Accept the Terms and Conditions and Privacy Policy.
Click Create Account.
Already have an account? Use Log In instead.

2: Navigate to the Marketplace#

Access the Marketplace through Wexa Studio
image (11).png

Step 3: Explore AI Coworkers#

image (12).png
1.
Browse Available Coworkers
View pre-built AI coworkers like:
Ella: AI Recruiter (screens candidates, conducts interviews).
Lucas: Business Development Rep (books meetings, generates leads).
Axle: Cold Email Specialist (manages email outreach).
Use the Search bar to find specific roles (e.g., "recruiter" or "email").
1.
Coworker Details
Click Intro to learn about their skills, use cases, and limitations.

4. Hire Your AI Coworker#

1.
Select a Coworker
Choose one that fits your needs (e.g., Ella for hiring tasks).
First coworker is free!
2.
Initiate Hiring
Click Hire Mail next to your chosen coworker.
Confirm your selection in the pop-up window.

#

You can learn more about Wexa AI Coworkers:
Modified at 2025-05-16 04:59:15
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Getting Started with Wexa
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Create your First AI Coworker