Malleable compared with Coworker

Malleable vs. Coworker: autonomous workers and owned operations

Coworker and Malleable both connect autonomous AI to company context, recurring work, and governed actions. Coworker centers on configurable AI workers. Malleable centers on the operation domain experts define and improve.

Shared foundation

What Malleable and Coworker have in common.

Plain-English creation

Both let people describe recurring work and turn that explanation into an executable system without coding.

Organizational context

Both can gather relevant context across connected company systems before acting.

Autonomous execution

Both can run work in the background on demand, on a schedule, or in response to an event.

Permissioned action

Both can scope tool access, require approval before writes, and expose execution history.

The main difference

What carries the team's operating model forward?

Coworker

A Coworker agent carries a system prompt, selected data sources and tools, write permissions, triggers, and output destinations. It plans the steps required to complete that assignment.

Malleable

The operation carries the outcome, stages, rationale, constraints, roles, and handoffs. Agents apply judgment inside that expert-defined structure.

Side by side

What follows from that difference.

Coworker

Malleable

System boundary

Coworker

The system centers on a worker completing a recurring responsibility

Malleable

The system spans the complete operation across every participant

Process visibility

Coworker

The worker plans its process at runtime from a prompt, context, and tools

Malleable

The team can inspect the stages and constraints before each run

Authorship

Coworker

A creator reviews generated prompts, tools, permissions, and triggers

Malleable

Experts define the responsibility inside the operation, not as worker configuration

Human decisions

Coworker

Sensitive writes enter an approval queue for the agent owner

Malleable

Handoffs route each decision to its owner with operational context

Change scope

Coworker

The owner edits worker configuration and must anticipate downstream behavior

Malleable

The expert changes the visible operation and reviews the result

Audit context

Coworker

History exposes tool calls and decisions, while operating rationale lives elsewhere

Malleable

Rationale, runs, agent actions, and human decisions remain connected