Planning Loops and State Graphs

Planning Loops and State Graphs

Fact-check status

Reviewed claim by claim on 2026-09-02 against the primary or official sources identified inline as S1 and S2. Recommendations are design guidance unless a cited standard makes them normative.

Key jargon

Term Plain-language meaning
Plan A proposed sequence or dependency structure for reaching a goal. S1
State graph Nodes and transitions representing allowed workflow states. S1
Transition A validated move from one state to another. S1
Stopping condition A rule that ends or escalates a loop. S1

Key concepts

Concept map

flowchart LR
    A["Create bounded plan"] --> B["Execute current node"]
    B --> C["Observe and update state"]
    C --> D["Stop revise or escalate"]

Diagram semantics verified against S1 and S2 on 2026-09-02.

A loop repeats “observe → decide → act → evaluate.” A graph makes allowed states and transitions explicit. The loop is behavior; the graph is control and memory. S1

Minimum bounded loop

goal → plan → execute one bounded step → observe → verify
                               ├── done
                               ├── revise within budget
                               ├── request approval/input
                               └── stop safely

Required brakes

Exercise

Create states for a research agent: intake, search, source review, draft, fact check, revision, complete, and blocked. List allowed transitions and a stop condition for each active state.

Research boundary

Planning methods such as tree search, reflection, and test-time scaling can improve some tasks but add inference cost and do not guarantee truth or safe action. S1