Experimental

Run-to-Done

A production runner where Agent Teams execute from request to completion. The system advances through requirements, planning, execution, verification, repair, delivery, and evidence. On failure, it loops back and converges instead of stopping mid-process.

Execution Atlas

One Request,
Full Completion Graph

S-1

Requirements

S-2

Plan

S-3

Execute

S-4

Verify

S-5

Repair

S-6

Deliver

S-7

Evidence

Responsibility Matrix

Governance by
Risk and Action

Research
External Action
Data Access
Delivery

Low Risk

Auto Continue

Medium Risk

Conditional Gate

High Risk

Human Approval

Convergence Twin

Repair Loops Until
Done Definition Passes

Dynamic Repair Workflow

Cycle 1

While Loop GenerationStartInitializeVariablesConditionCheckEndExecute LoopBodyUpdateVariablesFalseTrue

Current Verdict

Verifier rejected: missing policy evidence

Risk Pulse

high

Loop Rule

If verify fails, route to repair and re-plan automatically.

Median Cycles

2.3

Gate Escalations

18%

Rollback Ready

100%

Pure Workflow with Loop Structure

1) Start: intake and normalize request
2) Initialize Variables: done_definition, risk_budget, retry_count, gates
3) Condition Check: done_definition_satisfied?
4) If FALSE: route to End (deliver + evidence + close)
5) If TRUE: execute loop body (plan -> execute -> verify -> classify failure)
6) Update Variables: retry_count++, patch constraints, refresh evidence state
7) Return to Condition Check
8) Exit rules: pass, max attempts reached, budget exhausted, policy denied, deadline breached
Request Input
Agent Team Cabinet

Team cabinet appears after job creation.

Production Pipeline

0%

Requirements
Planning
Execution
Verification
Repair
Delivery
Evidence