AI worker team
AI worker teams and roles
Kaidera uses a team of specialised AI workers rather than a single generic assistant. Each role has its own lane, tools, and completion expectations.
Curated from the public AI-worker narrative, Lead-to-role update, and current coordination model.
Built-in team pattern
A typical project has leadership, frontend, backend, infrastructure, QA, documentation, and coordination roles. The exact names can vary by project, but the pattern is stable: each worker owns a clear lane and reports evidence through Cortex.
The Lead role
Every project starts with an adaptable Lead role. For software development, the Lead converts into CPO, with Keith as the current example for goal clarification, requirements, acceptance criteria, worker handoffs, evidence, and review readiness.
- Software development: Lead -> CPO.
- Custom AI worker teams: Lead -> the right business role, such as CMO for a marketing operation.
- Marlow Marketing Suite is the current Lead-to-CMO example for an enterprise marketing worker team.
Custom AI workers
Customers can create custom AI workers for domain-specific work. A custom worker can be tuned for a function such as compliance review, customer support triage, research synthesis, design QA, or data operations.
How AI workers avoid collision
AI workers claim bounded handoffs before editing. They keep file ownership scoped, record evidence, and close work only when verification exists. PROMI and Cortex make that coordination visible.
Website context
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