Workflow

Operators

Operators are the role layer of opheli.ai. They shape how planning, evidence gathering, review, and packaging happen during a run.

Guide summary

Use this page to understand the surface before you act inside it.

Configure specialist roles such as coordinator, researcher, analyst, reviewer, writer, and coder.

Guide type

Workflow

This guide reflects the current product workflow and surface ownership.

Sections

8

Summary first, then steps, mistakes, and recovery notes.

Related guides

4

Written against the current product structure and core execution workflow.

Starter team

Coordinator, Researcher, Reviewer, Writer

That mix gives most new missions enough structure without creating clutter.

Biggest quality lever

Reviewer role

A reviewer is often what prevents weak claims from becoming a polished artifact.

Related action

Review prompts and model fit

Operator quality depends on both instruction quality and provider/model alignment.

Guide section

What it is

Operators are reusable specialist profiles with a role, provider posture, and system prompt that influence how work is executed.

When to use it

Use them whenever you need distinct lanes for coordination, research, analysis, review, writing, or coding.

Where to find it

Find them under Operators in the authenticated product.

What happens next

You use this surface as part of the broader mission -> task -> run -> artifact workflow.

Common mistake

Too many operators

Related action

Open Runs and Mission Replay to see whether the operator team is creating useful handoffs and review pressure.

Guide section

Why it matters

They make execution structured and challengeable instead of relying on one generic assistant voice.

Guide section

How it fits into the workflow

Operators are chosen before or during launch and then participate in run phases.

Guide section

Step-by-step usage

  • Create or review the operator role.
  • Write a system prompt that reflects the real responsibility of that role.
  • Check the provider and model fit for the job.
  • Add the operator to the mission or task plan.
  • Use Replay and final artifacts to decide whether the role should be refined later.

Guide section

Inputs and outputs

Inputs needed

Role definition

System prompt

Provider/model choice

Mission or task context

Outputs produced

Reusable specialist operators

Clearer execution lanes

Stronger review and packaging posture

Guide section

Common mistakes

  • Too many operators
  • No reviewer
  • Wrong provider/model
  • A vague system prompt that describes style but not responsibility

Guide section

Troubleshooting

If runs feel repetitive, generic, or under-challenged, reduce role overlap and strengthen the reviewer lane.